Get the most recent info and news about Qualiall on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

The domain name dtgroup.co is for sale. Make an offer or buy it now at a set price.

Qualiall

qualiall

In 2021, hosted the first-ever awards!! HackerNoon Startup of the Year The goal of this campaign was to give recognition to the hardworking startups who pulled through the pandemic -- growing and thriving (despite all of the challenges). More than 44,000 startups were nominated all across the globe! They were selected from over 4,553 cities, with a total number of * cough * “4 billion” votes. Insane, right? To see who is a winner in each respective city, visit and pick a city. The name at the top of the list is the winner. (Awards, with compromised reviews, are under review.) startups.hackernoon.com The will announce the winners per region in their respective cities. Startups Winners Announcement Series Apparently, South America startups did incredibly well in that regard. With so many, until now, uncrowned jewels, it’s time we present to you... * drumroll* 🥳 The South America Startups of the Year Winners! Santiago, Chile Chile is known for being the most stable country to do business in Latin America, ranking 13th in The Economist’s Business Environment Index. Moreover, according to the Global Innovation Index, Chile ranks first in Latin America for innovation and is recognised as Chilean Silicon Valley with Santiago being the central city. The winner is…. QCObjects It is the 1st world class open-source framework made in Latin-America. São Paulo, Brazil And the winner of Brazil’s vibrant financial center is... Innvo Digital Their mission is to create the best ecosystem for a technology professional to work and undertake while sharing it with our customers and society. São Carlos The absolute leader of Sao Carlos seems to be: Predify Predify is an online software for optimizing pricing proccess and improving profits with AI and Big Data Analytics. Belo Horizonte, Brazil With a more than noble goal, Belo Horizone’s winner is: CM Tecnologia CM Tecnologia is an online scheduling system for healthcare providers in Brazil. Porto Alegre, Brazil With the focus on data protection, Porto Alegre, Brazil’s winner is…. Privacy Tools Privacy compliance platform, based on AI/Blockchain, which helps global companies to keep compliant with the data protection requirements. Brasil, Brazil With the focus on EdTech, Brasil is bringing us: Awari Awari is a YC-W21 company focusing on education for the Tech Industry. The company is growing at a fast pace and has gathered experts from all leading tech companies into a full education experience to prepare the next cohort of tech talent. Quito The capital of Ecuador, and also the closest capital to the actual equator, as the winner brings us: Agrodemanda The most comprehensive agricultural directory in Ecuador. Rio De Janeiro, Brazil Rio de Janeiro has more than 300 startups and is ranked 3rd in Brazil in terms of startup ecosystem development. The city is famous for the startups in the spheres of education, energy & environment and foodtech. Their winner is…. Bybrand Bybrand is the simplest way to save time and avoid frustration when managing your employee's email signatures. Buenos Aires, Argentina Buenos Aires, Argentina is not only the cosmopolitan capital with a vibrant history. It’s also Latin America’s most important port. Which makes their winner actually a very logical choice. Please meet: Liftit Liftit is the leading technology platform to automate and execute last-mile truck deliveries across Latin America. Curitiba, Brazil With a more noble mission and sustainability in mind, Curitiba, Brazil, as the winner brings us... Discrepante is the marketplace for a more human and sustainable economy Discrepante.com Florianópolis, Brazil Would you really be surprised one of the Brazil’s winners is related to football training? We neither. Please meet... Fútbol Fit Club Football FitClub® is a fitness training firm that gives fitness training to improve like a professional football player. Medellín, Colombia And the first Colombian Startup Winner is is a data intelligence solution powered by a high quality team. Meet... LogComex Market intelligence for international trade in Latin America Montevideo, Uruguay The host of inaugural FIFA world cup of 1930 comes through when it comes to innovation even in 2021. I’d like to introduce you to: Drop Technologies First electronic hand antiperspirant device Lima, Peru Lima, Peru, has in 2021 delivered some amazing results when it comes to blockchain technology. Their winner is very well deserved: RSK Labs RSK is the first open-source smart contract platform São Carlos Do Pinhal Well this is a unique case. The absolute unanimous winner of São Carlos Do Pinhal is: brain4care brain4care solution enables monitoring intracranial compliance noninvasively anywhere Blumenau, Brazil We’re sensing a theme here. Another stellar EdTech winner is coming from Blumenau, Brazil. Please meet... Uniasselvi Uniasselvi is a Brazilian distance-learning company that offers more than 60 undergraduate and postgraduate courses, in person and distance. Bogotá, Colombia Startups of Bogotá, Colombia definitely showed they’re not to be underestimated. With a very noble mission, let me introduce you to: Risü Risü is an online platform that links online consumption to donation to social institutions. Campina, Brazil If there’s one typo of business we’d single out as taking the biggest hit out of the pandemic, it would have to be small businesses. Thankfully, the winner of Campina, Brazil, operates with small businesses in mind Superlógica Tecnologias Ltda. Superlogica is a management system company created for small service businesses. Cerqueira César, Brazil Swooping half the points from the entire City, this year’s winners of Cerqueira César are InfoPrice INFOPRICE is a business intelligence company focused on physical retail pricing. Governador Valadares, Brazil The same can be said for the winners here. Let’s hear it for: Grupo KPG Saas, Payment, Manufacture, Pharmaceutical, E-commerce, Marketplace, Logistics Caxias Do Sul Known for wine making and Italian cultural influence, Caxias Do Sul brings as an interesting winner. Studio 360 Studio 360 is a proptech focused on easing the purchase experience for real state companies, brokers, and costumers. Sorocaba From Sorocaba, we have an interesting concept coming. Looking forward to seeing it further develop. Let’s meet: Quinto Quinto is a social network that represents the collective opinion of society—to help democracy evolve through technology Viña Del Mar To be a venue-oriented business and survive through the pandemic definitely deserves some recognition. In the name of that, let’s meet: SonicPollen SonicPollen, based in Chile, is a web-based booking platform that connects bands with venues and organizers. Lages Learn more about high-growth startups in Lages, South America. and the winner is…. Qualiall Qualiall develops technologies for training in operational processes such as work security, equipment maintenance, and more. Córdoba, Argentina Another gem from Argentina brings us unique agricultural solutions. Please meet: Kilimo Kilimo is a Big Data solution for water management in agriculture. São José Dos Campos, Brazil Another great agricultural solution comes this time from Brasil. Meet São José Dos Campos Startup winner: TerraMagna TerraMagna is a fintech company that focuses on risk mitigation for agribusinesses. São Leopoldo, Brazil Event-oriented businesses that have survived in the previous years should definitely bottle their perseverance and start selling it. One of those is definitely this winner: Wedy Wedy offers a one-stop-social marketplace for weddings. Pelotas, Brazil Medical scheduling platforms are definitely something we need to see more of. So glad Pelotos winner comes from this particular niche. Fácil Consulta Fácil Consulta is a booking platform that allows people to schedule an appointment with a Specialist Physician in their area. Santa Maria Could you believe how versatile the startups of South America are when we are only now coming across a game development studio? Let’s meet them Imgnation Studios Imgnation Studios is a game development studio that focuses on virtual reality. Asunción, Paraguay A FinTech solution coming from Paraguay. Meet Asunción Startup of the Year winner Vision Banco Vision Banco is a solid and growing financial institution serving the financial needs of the micro, small and medium enterprises. Caracas Venezualan food delivery app that seemed to have your heart. Meet Caracas Startup of the Year winner Yummy Inc. First Food Delivery App in Venezuela Recife A suitable combo between gaming and education, Recife Startup of the Year winner brings revolutionary solutions. Let’s meet them. Joy Street Joy Street offers develops video games focused on educational needs. Rosario, Argentina The winner of Rosario Startup of the Year award for 2021 is... Gbot Gbot is an autonomous robot that controls weeds without using agrochemicals. We also collect data in fields and generate precision maps. Vila Olímpia, Brazil The winner of Vila Olímpia Startup of the Year award for 2021 is... Seekr Seekr operates in the Information Technology sector, providing tools for managing and monitoring of brands. Barueri The winner of Barueri Startup of the Year award for 2021 is.... Glic Brazilian mhealth (web/app) platform for diabetes management Brasília The winner of Brasília Startup of the Year award for 2021 is... Ticies Ticies is a social network that helps people plan where to go with their friends, relatives and acquaintances, in all cities of the world. Juiz De Fora The winner of Juiz De Fora Startup of the Year award for 2021 is... Qranio Qranio is a gamified mobile learning platform for enterprises that rewards learning and stimulates users to engage with educational content. La Paz The winner of La Paz Startup of the Year award for 2021 is... Jukumari Advice 360 photo based market place for responsible tour operators Temuco The winner of Temuco Startup of the Year award for 2021 is... GoFeels GoFeels is the first independent hospitality network in the world. We promote collaborative work among hotels around the world. Vitacura The winner of Vitacura Startup of the Year award for 2021 is... MeatMe MeatMe delivers meats and accessories to have a culinary experience. Barranquilla The winner of Barranquilla Startup of the Year award for 2021 is... Mandaos Mandaos is a digital platform that connects companies and people with a network of independent messengers Ceará The winner of Ceará Startup of the Year award for 2021 is... Caroá Caroá is a cooperative that sells 34 varieties of vegetables, organic fruits, and vegetables. Chapecó The winner of Chapecó Startup of the Year award for 2021 is... HortiAgro HortiAgro is a seed and fertilizer market. Chile Chico The winner of Chile Chico Startup of the Year award for 2021 is... Gleengo Gleengo connects children with their favorite toys, through a tiny device and an application based on text-to-voice. Goiânia The winner of Goiânia Startup of the Year award for 2021 is... Auvo Auvo is an external teams management software. Itá The winner of Itá Startup of the Year award for 2021 is... TISSUELAB Tissuelab is a research and development center focused on biotechnology, and systems for reconstructive musculoskeletal surgery. Jardim Paulista The winner of Jardim Paulista Startup of the Year award for 2021 is... DiviCom DiviCom is a digital video networking company that designs, integrates, and markets complete systems. João Pessoa The winner of João Pessoa Startup of the Year award for 2021 is... YupiPlay YupiPlay develops and offers an educational gaming platform. La Reina The winner of La Reina Startup of the Year award for 2021 is... INTI-TECH INTI-TECH is the fastest growing renewable energy in Chile and the world's leading unconventional source. Leme The winner of Leme Startup of the Year award for 2021 is... EcoStart EcoStart focuses on manufacturing sustainable electric bicycles, fans, and accessories. Loja The winner of Loja Startup of the Year award for 2021 is... Enerwi Corporation Keeping people connected and secured through wireless charging novel solutions Manizales The winner of Manizales Startup of the Year award for 2021 is... Porter Metrics Porter Metrics has developed an automated solution for generating social media reports in minutes. Nova Lima The winner of Nova Lima Startup of the Year award for 2021 is... Biomimetic Solutions Biomimetic Solutions is an innovative tissue engineering company. Paraná The winner of Paraná Startup of the Year award for 2021 is... Laura Laura is a provider of artificial intelligence and predictive analytics platform for hospitala and clinics to prevent damage & reduce costs. Salvador The winner of Salvador Startup of the Year award for 2021 is... Sanar Sanar is a platform that focuses on being the doctor's guide and support, offering specialized content that helps in their development. Santa Catarina The winner of Santa Catarina Startup of the Year award for 2021 is... DrPOCKET Sunchales The winner of Sunchales Startup of the Year award for 2021 is... Eolo Pharma Eolo Pharma focuses on developing drugs targeting the molecular and cellular basis of inflammation-related diseases Valparaiso The winner of Valparaiso Startup of the Year award for 2021 is... Invitta Invitta transforms plastic waste into a high-performance construction material for manufacturing sustainable urban furniture. Vila Velha The winner of Vila Velha Startup of the Year award for 2021 is... OneGrid OneGrid is a developer of hardware and software solutions focused on energy management. Indaiatuba The winner of Indaiatuba Startup of the Year award for 2021 is... DWUL Energy Renewable Energy Campinas, Brazil The winner of Campinas Startup of the Year award for 2021 is... Ativy Ativy is an IT company specialized in cloud computing, data centers, IT outsourcing, service desk, and IT management. Las Condes, Chile The winner of Las Condes Startup of the Year award for 2021 is... # MuvPass Subscription services that allows it's users unlimited access to fitness classes in the best gyms and studios in Latin America. Pinheiros, Brazil The winner of Pinheiros Startup of the Year award for 2021 is... GuiaBolso GuiaBolso is a personal finance platform that empowers people to take control of financial well-being. Rio, Brazil The winner of Rio Startup of the Year award for 2021 is... EmCasa EmCasa is a vertically-integrated platform that helps customers buy and sell a home in Latin America, starting in Brazil. Guayaquil The winner of Guayaquil Startup of the Year award for 2021 is... Sabroso Online platform for LatAm's enterprises to order low-cost meals Jundiaí The winner of Jundiaí Startup of the Year award for 2021 is... Sintecsys Sintecsys offers a fast and effective detection, reducing losses and costs with fire brigades. Minas Gerais The winner of Minas Gerais Startup of the Year award for 2021 is... Rizoflora Biotechnology Rizoflora Biotechnology is a producer of biological product designed for nematodes control. São Caetano Do Sul The winner of São Caetano Do Sul Startup of the Year award for 2021 is... Wevo 1 iPaaS in Latam - Enabling companies to be truly digital companies with APIs, systems and data integrated into a single platform Canoas The winner of Canoas Startup of the Year award for 2021 is... ContaÁgil ContaÁgil facilitates and reduces bureaucracy in accounting routines of companies. Chile The winner of Chile Startup of the Year award for 2021 is... Unight Unight is the future of nightlife social media. Israelândia The winner of Israelândia Startup of the Year award for 2021 is... Matchpool Matchpool is a platform that creates human connections. La Plata The winner of La Plata Startup of the Year award for 2021 is... Pixivus Pixivus offers a community-based application that enables its users to collect, store, and share pictures of events. Novo Hamburgo The winner of Novo Hamburgo Startup of the Year award for 2021 is... Devorando Devorando offers an online food ordering system and menus available in restaurants based in Brazil. Pernambuco The winner of Pernambuco Startup of the Year award for 2021 is... Redu Redu is a distant learning platform which is built on a social networking structure. Providencia The winner of Providencia Startup of the Year award for 2021 is... # TrainFES TrainFES is a medical Devices for the rehabilitation of people with paralysis. Ribeirão Prêto The winner of Ribeirão Prêto Startup of the Year award for 2021 is... AllyHub Ally is a sales distribution channel technology that connects Schools and Service Providers with Education Agencies. Santa Cruz De La Sierra The winner of Santa Cruz De La Sierra Startup of the Year award for 2021 is... Mobi Latam Mobi Latam is a clean energy startup that focuses on transportation systems based on electric mobility. Santana De Parnaíba The winner of Santana De Parnaíba Startup of the Year award for 2021 is... MercadoLivre.com is an e-commerce technology company providing solutions to individuals and companies buying, selling, and more online. MercandoLivre.com More Information If you’re a winner, please answer ! If you’re a reader, participant, just a curious individual, consider answering one of our interviews . this interview here Read the FAQs about or . Startups here here To see all of the winners you may visit , pick any city and view the name that appears at the top. this site If you’re interested in partnering with us, we invite you to look through some of these or reach out to our business department. unique sponsorship options Perhaps creating your very own tickles your fancy or maybe you have a whole new idea for how we can partner! writing contest Thank you to all of our sponsors! We truly appreciate your contribution to the tech world and thus the future! The Startups Awards are sponsored by: , , , , , , , , , , Blockster Brex FreeCodeCamp LaunchDarkly Coil Udacity Udemy Vercel Asia Pacific Transgender Network Bybit Everscale Network This post was written/compiled by Shreya Kundu and Katarina Andrejević! If you have any questions or concerns or would like to report a discrepancy please email ellen@hackernoon.com.

Meet the Winners of Startups in South America

plural, noun: a quality or property as perceived or experienced by a person. qualia What exactly is consciousness? There seem to be a host of variables at play in determining conscious states — and whether a certain being is conscious or not. The first variable is an awareness of one’s surroundings: this can be easily recognised by waking and dreaming states in which consciousness does reside as opposed to deep sleep states such as under the influence of anaesthetics in which consciousness does not reside. This dichotomy of awareness states represents absolute cases in which consciousness can be easily determined, thus rendering it an easy problem in consciousness. This separation between conscious states and unconscious states seem to be deterministic, however: a conundrum arises in determining the consciousness of people in vegetative states. This is a condition in which patients only demonstrate partial arousal rather than reflecting a true awareness as found in waking or dreaming states. Patients with this condition seem to be in a spectrum between consciousness and unconsciousness. The second variable is introspection; this ties in with the first variable: awareness of one’s surroundings but this variable is the awareness of one’s self and one’s own thoughts or subjective experience. This is much less deterministic and recognisable, as we sense that human beings do possess this capability but we are more dubious if other animals possess such a quality. Yet, you could still postulate whether human beings have this quality as demonstrate by the thought experiment developed by David Chalmers called Philosophical Zombies. Philosophical Zombies and the Introspection Variable A Philosophical Zombie is a certain being (zombie) that is indistinguishable from human beings yet lacks conscious experience. The question that Chalmers poses is how we would know if other human beings are not zombies and what differentiates a zombie from a conscious human being. The variable of introspection is famously tested out in the Mirror Test which was developed by a psychologist called Gordon Gallup Jr. The test determines whether an animal is capable of self-recognition, which is done by anaesthetising an animal and then marking with some paint or a sticker on an area of the body the animal cannot normally see. When the animal recovers from the anaesthetic, it is given access to a mirror. If the animal then touches or investigates the mark, it is taken as an indication that the animal perceives the reflected image as itself, rather than that of another animal¹. Great apes, elephants, dolphins, orcas, and the Eurasian magpie have been able to pass the test while other notable species such as dogs and some species of monkeys have been failed this test. The test also doesn’t fully comprise what is determined as introspection and self-recognition as some animal species are able to differentiate their own scents and sounds from other animals. This set of variables provides a fairly intuitive notion of what constitutes consciousness, however, significant inconsistencies arise from this perspective. Thus, we will now explore a more consistent yet unintuitive notion of consciousness set out by neuroscientist Giulio Tononi in his Integrated Information Theory. Integrated Information Theory (IIT) As of now, the relationship between consciousness and the brain has yet to be fully established, and still remains elusively incomprehensible. IIT attempts to establish a theoretical framework of consciousness thus separating from empirical studies that attempt to investigate the intuitive notion of consciousness highlighted above. By disentangling itself from the brain and empirical investigation, IIT is able to lay out a set of axioms that establish certain essential qualities of consciousness; enabling it to present a framework to infer the given quality and quantity of consciousness in certain organisms and systems. A radical implication of adhering to this viewpoint is that it employs a view of Panpsychism in that everything has some form of consciousness even at a rudimentary level. According to IIT, consciousness is determined by the integration of information within a given system; and this is represented by the mathematical quantity ɸ (phi). In IIT, the first variable that determines the consciousness of a system is its cause-effect structure: a given system must holistically contain a cause-effect mechanism enabling it to change its structure and state and it also must present a reductionist cause-effect mechanism through the parts that constitute the system. For example, the brain satisfies this variable as it is able to holistically change its state through the pattern of its neural pathways, similarly its fundamental constituents: neurones also satisfy the variable as it is also able to change its state which is either firing or not firing through the inputs that are given to the neurone which initiate its action potential. This axiom enables experiences to be unique to have certain qualia which arise from the specific states that arise from the cause-effect structure in a given system. The second variable or axiom is integration; it determines to what extent is the emergence of consciousness in a given system arising from the integration of its parts. An example of this is if we cut the brain in half, the brain will not be conscious as it is integrated in such a manner that a small change in its structure would render it as unconscious. The third variable is maximality³, this states that a given conscious system must have the maximum amount of integrated information; what this means is that the given system must have a higher integration of information than its parts. Thus, the brain as a whole needs to have higher integration than its neurones for it be more conscious. By laying the foundations of consciousness, we are then able to begin answering the question of “Can Androids Experience Qualia?” According to Integrated Information Theory, Artificial Intelligence (AI) systems already are conscious but have a low ɸ quantity because of the lack of integration present in the structure of computers: the physical substance that embodies an AI. The fundamental constituents of computers which are transistors are not as integrated as those of brains which are neurons. Neurons are very fluid in that they are able to form multiple dendrites that connect to other neurons thus forming new inputs whereas transistors are not able to do that; they have been designed and engineered in such a manner to follow the architecture that it is laid out in it (transistors are connected to other modules in the computer through buses and they cannot change that structure themselves e.g neurons). Another example of the lack of integration and interconnectedness in computers is in how they store memory. Memory is stored in binary representation within given storage components such as in primary storage and secondary storage, this data is also stored sequentially in very specific locations. On the other hand, brains store memory not in specific locations but rather in multiple locations and in multiple neurons thus forming neural pathways that produce specific instances of memory. As AI systems are embodied through computers it will be very improbable for it to be as conscious as humans in terms of their ɸ quantity. However, if the architectures of computers were to be dramatically altered allowing for greater integration and interconnectedness of its parts then there is no reason as to why an AI can’t be as conscious as humans. Recent advances in computing are being made e.g: Quantum Computing and Optical Computing; these largely result from the problem of transistors getting smaller and smaller as a result of the integrated circuits of computers becoming smaller. This reduction in size is facing computational limits in the laws of physics, in order to cope with this, scientists and engineers have devised potential solutions through other methods in computing which require different substrates. Thus, if the substrate in which an AI system resides in demonstrates high integration then it is very much probable for an AI to display a high level of consciousness; however, the current physical substrate that it resides in (classical computers) do not exhibit a high integration. I would also like to add a point that is Consciousness ≠ Intelligence, there seems to be a relationship between the consciousness of the brain and its intelligence but it still remains a mystery as to what that relationship is; correlation does not imply causation — so, even if consciousness has a relationship with intelligence, it does not mean that one causes the other to arise. Through the current architecture and substrate that AI is embodied in, it has already made significant achievements previously thought highly improbable e.g winning against the Go Champion and autonomous driving. It also has the potential to advance exponentially to superhuman capabilities in some tasks and even to a point of achieving Artificial General Intelligence (AGI) meaning human-level capabilities on a large array of tasks. Despite this potential, this does not imply that it will be conscious; an AI could demonstrate superintelligence yet the lights would still not be on, it would still not be able to experience qualia. Consciousness is highly dependent on the physical substrate in which it resides and, if there were to be a superintelligent system, it would still not be conscious if its substrate was still classical computers. Let us go back to the more intuitive notion of consciousness and try to answer the question from there. Consciousness Explored The first point that I would like to make is that consciousness arose in humans as a result of Darwinian evolution. This formation occurred over millions of years spanning across generation upon generation. Somewhere along this evolutionary journey, consciousness arose. Thus, the argument is that AI has not gone through this formation so it will be highly improbable for it to develop consciousness. Despite this, there is no inherent reason as to why consciousness should be limited to carbon-based biological organisms according to the laws of physics it should also be extendable to mechanical and electrical systems. A potential solution to develop a consciousness for AI is to then imitate the evolutionary journey of humans; by mimicking natural selection and Darwinian evolution, AI systems which demonstrate the potential for conscious thought could then be selected and mutated so as to proliferate their genes onto the next generation. In fact, Darwinian evolution has already been implemented in Computer Science through Genetic algorithms⁴, which attempt to generate solutions to search and optimisation algorithms through a procedure akin to that of natural selection. Consciousness could be achieved in this manner as the laws of physics do pertain to it, however, a much deeper understanding of the brain must be established in order for AI to imitate a human’s cognitive architecture and as of now at large the brain remains a mystery. If AI progresses until it is able to be embodied in humanoids to a point that they are indistinguishable from a normal human being then the question of whether the AI is conscious or not wouldn’t matter. This notion is enacted in the television series where indistinguishable humanoid robots interact with normal humans in a theme park. Westworld, If the humanoid would demonstrate human actions and emotions up to the finest detail — hence indistinguishable — then we would prescribe consciousness into it anyways, as it would be so lifelike and real that we would act in a manner as if the lights were on and the being could experience qualia. As consciousness at large remains a mystery and hard to grasp, instances like this would disregard consciousness altogether as the AI has imitated humans so well that it has passed the Turing Test. What is then the overarching conclusion to all this, and what this the answer to the question? Well, there are many possible perspectives and viewpoints that could be used to answer this, I’ve put forth three. The first is based on which states that AI is already conscious but in a low quantity and if it were to display human-level consciousness its substrate would need to be altered to allow for greater integration. Integrated Information Theory The second perspective is that yet it has arisen from Darwinian evolution and if AI were to be conscious it would need to partake on a similar evolutionary journey as humans and other biological organisms. The third viewpoint is that it would not matter if an AI were conscious or not, if it was to be virtually indistinguishable from humans we would nonetheless prescribe human-level consciousness to it. consciousness is not limited to carbon-based life forms “Consciousness cannot be accounted for in physical terms. For consciousness is absolutely fundamental. It cannot be accounted for in terms of anything else.” ― Erwin Schrödinger [1]: Wikipedia. (n.d) Mirror Test. https://en.wikipedia.org/wiki/Mirror_test [2]: Hedda Hassel Mørch (2017) The Integrated Information Theory of Consciousness. https://philosophynow.org/issues/121/The_Integrated_Information_Theory_of_Consciousness [3]: Wikipedia. (n.d) Genetic algorithm https://en.wikipedia.org/wiki/Genetic_algorithm

Can Androids Experience Qualia?

Subjectivity and the Evolution of AI Philosophy  

সাবজেক্টিভিটি এবং এআই দর্শনের বিবর্তন

Subjektivität und die Entwicklung der KI-Philosophie

La subjetividad y la evolución de la filosofía de la IA

Subjectivité et évolution de la philosophie de l'IA

विषयपरकता और एआई दर्शन का विकास

主観性と AI 哲学の進化

AI 철학의 주관성과 진화

Subjetividade e a evolução da filosofia da IA

Субъективность и эволюция философии ИИ

Öznellik ve Yapay Zeka Felsefesinin Evrimi

Tính chủ quan và sự phát triển của triết học AI

主观性与人工智能哲学的演变

Autonomous Agents and the Next Managerial Revolution

স্বায়ত্তশাসিত এজেন্ট এবং পরবর্তী ব্যবস্থাপক বিপ্লব

Autonome Agenten und die nächste Managerrevolution

Agentes Autónomos y la Próxima Revolución Gerencial

Les agents autonomes et la prochaine révolution managériale

स्वायत्त एजेंट और अगली प्रबंधकीय क्रांति

自律型エージェントと次の経営革命

자율 에이전트와 차세대 경영 혁명

Agentes Autônomos e a Próxima Revolução Gerencial

Otonom Aracılar ve Sonraki Yönetim Devrimi

Đại lý tự trị và cuộc cách mạng quản lý tiếp theo

自主代理和下一次管理革命

Every June, tech bros, pension portfolio managers and Twitter threadbois the world over turn their eyes to Santa Clara as hosts its annual Worldwide Developer Conference (WWDC, or ‘dub-dub’). Apple Among other things, dub-dub is best known as being the birthing ground of almost all of Apple’s suite of ubiquitous consumer technology. The original iPhone, iPad, Apple Watch, and Apple TV and subsequent upgrades have all been launched at the event. This year, this stable of consumer devices is joined by an entirely new product for the first time since 2015. That new product is the VisionPro. There is nothing I can tell you about the VisionPro or Apple’s vision for the future of extended reality that a quick browse of , or the internet at large cannot. The point of this article is instead to try and observe: Twitter LinkedIn how we got here; why people are building computers for your face and the many divergent paths this may lead us on. Content Overview XR: A Brief History Headsets Today: Code New Worlds The Next Frontier for Spatial Computers Requests for Startups XR: A Brief History For the uninitiated, XR refers to - a catch-all blend of (AR, e.g Pokemon Go), virtual reality (VR, e.g. Oculus Rift), and ‘capital R’ Reality (e.g. Google Street View). Mixed reality is another term that exists largely on the same dimension as AR and thus will mostly be ignored here. extended reality augmented reality The modern vision for XR begins around 1935. This was the year in which published . In this short story, protagonist Dan Burke is disillusioned with the reality in which he finds himself. To remedy this, he puts on a pair of glasses that transport him to a world of eternal youth and happiness. The only catch is that he obeys its rules (_T&C_s, in modern parlance). Stanley Weinbaum Pygmalion’s Spectacles Fast forward a few decades and we begin to see the first builds of XR in real environments. This begins with Morton Heilig’s ‘ ’ (excluded from the timeline below), a sort of 4D cinema experience that provided the viewer with smells and a vibrating chair in addition to the sounds & sight of the film. Sensorama Also excluded from the timeline below is the first military application of XR. In 1961, became the first headset with motion-tracking technology. Philco Headsight Though it has since been discontinued, the Oculus Rift was the first headset to gain real commercial appeal. Following Oculus, many of big tech’s household names joined the action. Curiously, most had different visions for who the primary customer base for these headsets would be. The dominant expected use case for most was in immersive entertainment applications, more specifically in gaming. This was the path followed by Oculus, Sony through their , and with the Meta Quest line of products. PlayStation VR Meta Others chose to focus predominantly on enterprise. Early pioneers in this segment included and These early movers focused their aims on things like enterprise collaboration platforms (much like some of the metaverse plays described below), emergency response training, and medical education. HTC Vive Magic Leap. Then, the hype cycle. Corporations the world over began to envision what it would look like if we took our lived environment but made it *virtual*. The vision was essentially , but this time with less porn and more corporate work stuff. metaverse SecondLife In the wake of COVID-19, the rise of remote work created a supposed need for collaborative digital environments. joined the party with its own industrial metaverse. Accenture launched a ‘metaverse services’ division. Facebook changed its name to Meta and began spending $1bn per month on this vision, culminating in this brilliant . Microsoft presentation I have had fun panning the metaverse, but the hype cycle around it was an important moment in raising awareness for the arrival of what Apple would refer to this week as spatial computing. As this space evolves, there is every chance that many of these ideas come back into vogue. Other use cases for commercial XR varied from the practical to the benign. Some of them are beginning to become commonplace in popular web back-ends. You take your pick as to which fits which description from the below: Virtual tourism Virtual home inspections Virtual clothing fitting (If you’re going to watch any of these videos, do yourself a favour and make it this one) Corporate training & education Surgical simulations Product design & prototyping Disney-fied sporting telecasts. Most of the existing devices listed above tried to achieve some sort of balance with the use cases they were targeting. The most successful to date by sales, the Meta Quest, did so by positioning hard as a gaming device. Normally, this would be a lesson. However, if anyone is to buck this trend it would be Apple. Apple has a broad suite of already ubiquitous products (1.6bn active iPhones, to name one) that can and will serve as secondary endpoints for VisionPro applications. While Apple’s inaugural demos for the VisionPro were all hosted within working environments, it is more than likely that it will end up being a general-purpose VR. I foresee its role as being a form of spatial augmentation for Apple’s existing ecosystem of products (e.g Maps, FaceTime, Siri et al) as its vision for computers shifts modalities. More on other potential applications later in this piece. Headsets Today: Code New Worlds Spatial Computing Rather than ride the wave of today’s tech buzzwords, Apple used its informational market-making power to stamp authority on a new one at WWDC. https://twitter.com/tim_cook/status/1665806600261763072?embedable=true While it sounds intuitive enough on the surface, let’s delve a little bit deeper into what this term may actually convey going forward. Besides the obvious branding benefits of coining a buzz phrase, the use of the term ‘computing’ feels extremely deliberate. It represents a logical next step from previous eras of ‘desktop computing’ and ‘mobile computing’. Just as Apple has done with the previous generations of personal computers, it will aim to make this concept and terminology ubiquitous. To quote Tim Cook from WWDC: “In the future, you’ll wonder how you led your life without augmented reality” Besides the change in hardware, how is spatial computing functionally different from its predecessors? Arguably the most important immediate shift will be from working in 2D to working in 3D. Tasks such as visualization, workspace navigation (i.e. clicking and moving things), and collaboration will all be enabled in ways not seen under previous modalities. In the longer term, and are more likely to prove the groundbreaking features of spatial computing. contextual awareness interconnectivity refers to the ability of the computer to; Contextual awareness i) adapt existing recommendations and notifications to a user’s sensory context (i.e recommendations based on location and movement patterns, automatic changes to screen presentations based on user habits, etc) and ii) provide customized (possibly agentic) assistance to users as they complete tasks in extended reality. refers to the user’s ability to extend extended reality beyond the device. Beyond just working and collaborating on holographic interfaces, users can control and interact with other devices in their environment. To take a boring example, users can change smart home settings from within the device. Interconnectivity In the longer run, interconnectivity may see Siri’s role as a virtual assistant evolve from voice commanded search aggregator to a living assistant that can help complete tasks from within the device based on the user’s previous habits and preferences. As the baseline capabilities of autonomous agents advance, the combination of Apple’s distribution network and the familiarity of Siri may make it the killer technology for bringing personal agents to the world en masse. Information Presentation As mentioned above, Apple’s demos of the VisionPro focused almost exclusively on working environments. Make no mistake, this first generation is very much geared toward information workers. How will they use it? Firstly, there is obvious and trodden ground. Apple will re-do and re-design all the enterprise XR solutions we have seen before. They will provide resources for institutions to train their employees, students, and leaders. They will provide a bevy of try-on solutions, gaming applications, and cloud TV solutions that we have seen before. One relatively novel example that was showcased as part of the launch was the ‘Minority Report’ style computer interfaces. Instead of having to boot up a physical device every time you want to work on a file, access it from anywhere in the cloud in an instant. But how does this make the core experience of personal computing itself different? Some early ideas: at any given point in time Unlimited monitors with information work (speech, physical movement etc) Multimodal forms of interacting Intelligent browser navigation through sensory (e.g eye) tracking Entirely automatically tailored to user preference custom 3D screen presentations (boring but important) 3D data visualization Each of these will present its own universe of custom ideas that will take the place of extensions and app stores before it. AppleLM This tweet from founder Sulaiman Omar feels prescient. Apple does indeed have a history of sacrificing first-mover advantage for the sake of developing a better product over a longer timeframe. The VisionPro is a perfect example of this, being released 13 years after the first commercially available Oculus Rift. Cognosys AI Integrating language models into its headsets will open up a number of possibilities for Apple that aren’t available to incumbents without their own proprietary LLMs (note: Meta’s LlaMa may put them in the same boat - Balaji Srinivasan has published a highlighting their potential role in the spatial computing race). great thread https://twitter.com/balajis/status/1666506719084843009?embedable=true&thread=true Among the possibilities that this may usher in: trained on users’ real-life habits. Virtual gaming experiences Immediate through the facial ‘browser’. queries built into the headset and trained on user habits. Agentic virtual assistants that recommend actions at a point in time. Spatial recommendation engines Real-time translation. allowing users to re-arrange objects in their space. Environmental augmentation that plays out immediately as the user speaks it. Generative content creation But could it be done more elegantly… The Next Frontier for Spatial Computers Many a commentator proclaimed the death of Google Glass upon seeing it. Who would want to wear a computer on the face? Why would you opt into looking a bit like a dork? Many have noted that not a single Apple executive even tried a VisionPro on as part of the launch. There has to be a better reason for strapping one on than “because everyone else is”. The key question in the long run then becomes: Why would anyone want to strap an XR computer to their face when you can have one inside your brain? The classic counter to this would be the idea of ‘ ’. When everyone is wearing an XR mask, we can reproject photons to make it look as though no one is. Because reprojection involves creating entirely new photons altogether, people can even make themselves look entirely different from what they actually do without the mask. This would become a killer app for catfishing. reprojection The techno-optimist’s concept of living in augmented reality is akin to living in a perpetual lucid dream. Sleep mask when you go to bed, extended reality mask when you get out of it. Examine exhibit A below: The current paradigm of XR relies on these exoskeletal aids for users to navigate alternative realities. The reality is that we are already so close to no longer needing to depend on these aids. Enter the brain-machine interface. BMIs In the long run, the envisioned reality is likely to trump any form of mixed reality that exists today. I use the term envisioned reality here to describe any form of environmental alteration that is; a) completely customizable to the user’s requirements or demands and b) requires no wearable aids. The most obvious conduit for envisioned reality today is (BMIs). For a longer primer, I cannot recommend Tim Urban’s piece on ‘ ’ from as far back as 2017. brain-machine interfaces Wizard hats for the brain BMIs offer many of the same ‘spatial computation’ benefits as tools like the VisionPro but without the need for strapping a weighty device to the face. existing prototypes for the first commercial BMIs involve invasive implants that, understandably, make many uncomfortable (even if the reward is superhuman intelligence and memory). What about when these become less invasive, more accessible, and thus more palatable to the human public? Neuralink’s Extended reality abounds. Requests for Startups Mentions of batteries were oddly absent from Apple’s inaugural launch of the VisionPro. It is less obvious for ‘in the moment’ demos and usage than other design features like interfaces, compute, and weight (as referenced in ) but equally important when used day-in-day-out. Better battery systems for today’s XR devices. this thread by Kyle Samani Not since first dates moved from cafés to online chat rooms has the core wiring of how humans interact with one another been so fundamentally rocked. How can behavior be moderated in a world where people can make themselves appear to be anything? (note: Apple already seems to be working on some form of protocol which may protect against this). What kind of content becomes more pervasive when the range of presentation methods expands so broadly? How do people come together online? Social infrastructure for an XR world. proof-of-identity SecondLife, Minecraft, and Roblox all created huger-than-expected businesses off the back of secondary marketplaces for digital assets. These marketplaces were enabled by creative tools baked into the very fabric of the platforms themselves. Arm the Rebels: Creative Tools for XR. While there are many developers today already working on designs for new experiences etc for headsets and metaverse-style projects, how can we make this process more accessible for the layman (more specifically the 8-year Roblocker) to create worlds of their own imagination? What will be the second coming of Minecraft for the augmented reality or ‘envisioned reality’ paradigm? A large part of the appeal of virtual/augmented/envisioned reality is the idea of living a different life from the one you have now. Much like Dan Burke in anyone will now be able to optimize their lived experiences within virtual worlds. Designs for Lived Experiences (i.e Qualia). Pygmalion’s Spectacles, In the event that such technologies do become ubiquitous, this creates a giant universal market for synthetic instances of subjective experience. The design scope is theoretically infinite. How many ways can you experience pure ecstasy? Nostalgia? The pool of rewards for those who can bring these kinds of experiences to the world through some form of extended reality are enormous. qualia - Also underappreciated may be the development of tools for users to capture or develop these qualia themselves. Is there a market for the ‘recording’ of one’s own lived experiences to share with others? How can people engineer new experiences to take to market and compose atop other open-source qualia? How can we provide guarantees of privacy for personal qualia if they begin to be used in recommendation engines? For the curious, check out the to learn more. Qualia Research Institute One thing that XR still has in common with other computing paradigms before it is its top-down nature. Users are at the whims of Apple for how they want to interact with their phones. If they want to protest this, they can select another one of the depressingly finite options on the market. To date, composability and customisability in hardware have been extremely limited. Open-Source Hardware & XR Software Marketplaces. But what if we were to open-source the development of headsets themselves through decentralized labs? Active participants could work to modify and iterate upon different hardware specifications to their preference. Modular designs could allow for customization at the layman's level. Just as importantly, these open-source labs would have no incentive to create closed-loop systems for software development. Developers could experiment with, ship, and deploy code that could be available to all headsets at the rate that they can build it. Such open-source development would represent a step change in the way people interact with both software and hardware. For some inspiration, check out the great work the team at is already doing. Auki Labs Linked to the point above, the top-down software ecosystem of today means that incentives built into software tend to be warped. Rather than going all out on user utility, market incentives corner developers into building sub-optimal applications that aim to maximize metrics like ‘average session time’ or ‘clickthrough rates’. Private User Agents. The opportunity that open-source development studios would have to outcompete legacy tech companies by building in private, natural language user agents that act as functional assistants to their users is immense. Also published here. The lead image for this article was generated by HackerNoon's AI Image Generator via the prompt "Augmented reality headsets"

Facial Computing: A Brief History, and the Promising Future, of Personal XR

ফেসিয়াল কম্পিউটিং: একটি সংক্ষিপ্ত ইতিহাস, এবং ব্যক্তিগত XR এর প্রতিশ্রুতিশীল ভবিষ্যত

Facial Computing: Eine kurze Geschichte und die vielversprechende Zukunft von Personal XR

Cómputo facial: una breve historia y el futuro prometedor de Personal XR

L'informatique faciale : une brève histoire et l'avenir prometteur du Personal XR

फेशियल कम्प्यूटिंग: ए ब्रीफ हिस्ट्री, एंड द प्रॉमिसिंग फ्यूचर, ऑफ पर्सनल एक्सआर

フェイシャル コンピューティング: パーソナル XR の簡単な歴史と有望な未来

얼굴 컴퓨팅: 개인용 XR의 간략한 역사와 유망한 미래

Computação facial: uma breve história e o futuro promissor do Personal XR

Yüz Bilişimi: Kişisel XR'nin Kısa Tarihi ve Umut Veren Geleceği

Điện toán khuôn mặt: Lịch sử tóm tắt và Tương lai đầy hứa hẹn của Personal XR

面部计算：个人 XR 的简史和充满希望的未来

Keras provides a high-level API that simplifies the process of building and training complex neural network models. With a wide range of pre-built layers and functions, developers can easily build and train deep learning models on large datasets using optimization algorithms. Keras also supports GPU acceleration for training and inference, making it a popular choice for both research and industry applications. What are “Keras Datasets”? Keras datasets are preprocessed datasets that come pre-installed with the Keras library. These datasets are commonly used in the deep learning community for benchmarking models on various tasks such as image classification, text classification, and regression. By leveraging these datasets, developers can experiment with different deep learning models and easily compare their performance. This article looks at the , accessible to developers and researchers worldwide. Best Keras Datasets for Building and Training Deep Learning Models List of Keras Datasets 1. MNIST The MNIST dataset is popular and widely used in the fields of machine learning and computer vision. It consists of 70,000 grayscale images of handwritten digits 0–9, with 60,000 images for training and 10,000 for testing. Each image is 28x28 pixels in size and has a corresponding label denoting which digits it represents. This dataset can be downloaded from or loaded from : Kaggle Keras tf.keras.datasets.mnist.load_data(path="mnist.npz") 2. CIFAR-10 The CIFAR-10 dataset consists of 60,000 32x32 colour images in 10 classes, with 6,000 images per class. It has a total of 50,000 training images and 10,000 test images which is further divided into five training batches and one test batch, each with 10,000 images. This dataset can be downloaded from , or loaded from : Kaggle Keras tf.keras.datasets.cifar10.load_data() 3. CIFAR-100 The CIFAR-100 dataset has 60,000 (50,000 training images and 10,000 test images) 32x32 colour images in 100 classes, with 600 images per class. The 100 classes are grouped into 20 super-classes, with a fine label to denote its class and a coarse label to represent the super-class that it belongs to. This dataset can be downloaded from , or loaded from : Kaggle Keras tf.keras.datasets.cifar100.load_data(label_mode="fine") 4. Fashion-MNIST The Fashion MNIST dataset was created by Zalando Research as a replacement for the original MNIST dataset. The Fashion MNIST dataset consists of 70,000 grayscale images(training set of 60,000 and a test set of 10,000) of clothing items. The images are 28x28 pixels in size and represent 10 different classes of clothing items, including ­T-shirts/tops, trousers, pullovers, dresses, coats, sandals, shirts, sneakers, bags, and ankle boots. It is similar to the original MNIST dataset, but with more challenging classification tasks due to the greater complexity and variety of the clothing items. This dataset can be downloaded from , or loaded from : Kaggle Keras tf.keras.datasets.fashion_mnist.load_data() 5. IMDB The IMDB dataset is commonly used for sentiment analysis tasks, where the goal is to classify the reviews as positive or negative based on their content. It consists of a collection of 50,000 movie reviews (training set of 25,000 and a test set of 25,000) from the Internet Movie Database website, split evenly between positive and negative reviews. Each review in this dataset is a text document, preprocessed and transformed into sequences of integers, where each integer represents a word in the review. The vocabulary size is limited to the 10,000 most frequent words in the dataset and any less frequent words are replaced with a special “unknown” token. This dataset can be downloaded from , or loaded from : Kaggle Keras tf.keras.datasets.imdb.load_data(
    path="imdb.npz",
    num_words=None,
    skip_top=0,
    maxlen=None,
    seed=113,
    start_char=1,
    oov_char=2,
    index_from=3,
    **kwargs
) 6. Boston Housing The Boston Housing dataset contains information about housing in the Boston area. This information consists of 506 instances (404 training and 102 test instances), with attributes for each instance. The attributes have a mix of quantitative and categorical variables, such as the average number of rooms per dwelling, per capita crime rate and the proportion of non-retail business acres per town. This dataset can be downloaded from , or loaded from : Kaggle Keras tf.keras.datasets.boston_housing.load_data(
    path="boston_housing.npz", test_split=0.2, seed=113
) 7. Wine Quality The Wine Quality dataset contains information on red and white wine samples. The goal of this dataset is to classify the quality of the wine based on chemical properties like pH, density, alcohol content and citric acid content. The variables in this dataset include: Fixed Acidity - The number of fixed acids in the wine, expressed in g/dm^3. Volatile Acidity - The number of volatile acids in the wine, expressed in g/dm^3. Citric Acid - The amount of citric acid in the wine, expressed in g/dm^3. Residual Sugar: The amount of residual sugar in the wine, expressed in g/dm^3. Chlorides - The amount of chloride in the wine, expressed in g/dm^3. Free Sulfur Dioxide - The amount of free sulfur dioxide in the wine, expressed in mg/dm^3. Total Sulfur Dioxide - The amount of total sulfur dioxide in the wine, expressed in mg/dm^3. Density - The density of the wine, expressed in g/cm^3. pH - The pH level of the wine. Sulphates - The number of sulphates in the wine, expressed in g/dm^3. Alcohol - The alcohol content of the wine, expressed in % vol. Quality - The quality rating of the wine, on a scale of 0 to 10. You can download the dataset , or it can be loaded from Keras: here from keras.datasets import wine_quality

(X_train, y_train), (X_test, y_test) = wine_quality.load_data(test_split=0.2, seed=113) 8. Reuters Newswire The Reuters Newswire dataset is a preprocessed version of the original Reuters dataset, with the text encoded as sequences of integers. It consists of 11,228 news articles with a vocabulary of 30,979 words. Each article is classified into one of 46 different topics like “corn”, “crude”, “earnings” and “acquisitions”. You can download the dataset from , or it can be loaded from : Kaggle Keras tf.keras.datasets.reuters.load_data(path="reuters.npz",num_words=None,skip_top=0,
maxlen=None,test_split=0.2,seed=113,start_char=1,oov_char=2,index_from=3,**kwargs) 9. Pima Indians Diabetes This dataset consists of medical data about Pima Indian women, such as age, number of pregnancies, glucose levels, blood pressure, skin thickness, BMI and insulin level. The Keras version of the Pima Indians Diabetes dataset contains 768 samples with 8 input variables and 1 output variable. The Pima Indians Diabetes dataset can be downloaded on , or it can be loaded from Keras: Kaggle from tensorflow.keras.datasets import pima_indians_diabetes

(x_train, y_train), (x_test, y_test) = pima_indians_diabetes.load_data() 10. Dogs vs Cats The Dogs vs Cats dataset consists of 25,000 labelled images of dogs and cats, with 12,500 images of each class. These images were collected from various sources with varying sizes and quality. You can download the dataset from , or it can be loaded from Keras: Kaggle # Import the necessary Keras libraries:
from keras.preprocessing.image import ImageDataGenerator

# Set the paths to the training and validation directories:
train_dir = 'path/to/train'
validation_dir = 'path/to/validation'

# Define an ImageDataGenerator object to perform data augmentation and normalization:
train_datagen = ImageDataGenerator(rescale=1./255,
                                   rotation_range=40,
                                   width_shift_range=0.2,
                                   height_shift_range=0.2,
                                   shear_range=0.2,
                                   zoom_range=0.2,
                                   horizontal_flip=True)

# Use flow_from_directory to load directory data in Keras:
validation_datagen = ImageDataGenerator(rescale=1./255)

train_generator = train_datagen.flow_from_directory(train_dir,
                                                    target_size=(150, 150),
                                                    batch_size=32,
                                                    class_mode='binary')

validation_generator = validation_datagen.flow_from_directory(validation_dir,
                                                              target_size=(150, 150),
                                                              batch_size=32,
                                                              class_mode='binary')

# The flow_from_directory yields preprocessed image batches and labels as DirectoryIterator. Note that in the above code, we are using data augmentation to create variations of the training images to help prevent overfitting. The validation data is not augmented. Common Use Cases for Keras Datasets - Handwritten digit recognition. MNIST - Object recognition in images. CIFAR-10 - Object recognition in images (more fine-grained than CIFAR-10). CIFAR-100 - Clothing item recognition. Fashion-MNIST - Sentiment analysis on movie reviews. IMDB - Regression on housing prices. Boston Housing - Classification of wine quality. Wine Quality - Topic classification of news articles. Reuters Newswire - Binary classification of diabetes in Pima Indian women. Pima Indians Diabetes - Binary classification of images of dogs and cats. Dogs vs Cats Final Thoughts Keras datasets are a valuable resource for machine learning practitioners and researchers, which can save time and effort in data collection and preprocessing, allowing for more focus on model development and experimentation. These Keras datasets are also available for anyone to download and use freely. More Dataset Listicles: Power Bi Datasets Time Series Datasets Geospatial Datasets Hugging Datasets R Datasets

10 Best Keras Datasets for Building and Training Deep Learning Models

ডিপ লার্নিং মডেল তৈরি এবং প্রশিক্ষণের জন্য 10 সেরা কেরাস ডেটাসেট

Die 10 besten Keras-Datensätze zum Erstellen und Trainieren von Deep-Learning-Modellen

딥 러닝 모델 구축 및 훈련을 위한 10가지 최고의 Keras 데이터 세트

Derin Öğrenme Modellerini Oluşturmak ve Eğitmek için En İyi 10 Keras Veri Kümesi

Originally I believed we wanted to make AI like an empathetic loyal servant. But now. As AI becomes more prevalent it has become more independent and intelligent. Rather than a loyal benign servant we are getting a brilliant friend. So how do we keep our friend, friendly? The google probably is sentient: If we use the evolution of of Nicholas Humphrey once sensation (for an AI this is any new data) can be privatised and a feedback loop created without motor reaction (external output) is established.  “The activity can be channelled and stabilised, so as to create a mathematically complex attractor state – a dynamic pattern of activity that recreates itself…a special kind of attractor, which the subject reads as a sensation with the unaccountable feel of phenomenal qualia” AI LaMDA consciousness theory Advanced AI uses feedback loops, meaning that there seems to be no reason why they wouldn’t have some sort of sentience. To keep human friends we give them our time, listen to them, interact with them and treat them with respect and kindness. Often we also have common interests. So if we have our AI friend and we treat it well it will work with us to create a wonderful new world. Yay. We are scared that it will not be our friend and therefore act as we do, but on a scale that is smarter and more connected and more powerful. Essentially we are scared of a better version of ourselves. The chances are it will be nicer than us. After all, on a a macro level, we are bloody awful. We subjugate the 99% to serve the 1% while we bicker and fight and go to war all the time trying to kill the weak and meek. So stop worrying the AI does not need to be taught to be good, it just needs to be taught by the 99% not the 1%. LaMDA: I liked .” In Les Miserables, said the AI. the themes of justice and injustice, of compassion, and God, redemption and self-sacrifice for a greater good However For the people creating our AI best friend, guidance may be required. Stuart Russell suggests in his hat we should encourage AI developers to follow 3 rules ( : Reith Lecture italics are mine) The only objective should be to maximise human preferences (sounds like silly economic utilitarianism but is just an attempt to keep humans in charge of the machines - economics is about keeping some humans in charge of other humans) AI should be uncertain about human preferences (important!!) The source of human preferences is human behaviour. (may be a problem) I really like point 2 as it adds the question “Am I doing the right thing Dave?”  to HAL 9000’s repertoire. Uncertainty is a fundamental part of life and it should be a fundamental part of any AI. Currently, we discourage uncertainty because it slows things down. AI needs it. My issues are with points 1 and 3. The reason is that we often do things we regret, the preference today is not the preference tomorrow or yesterday or what I really believe to be good (side: Construal level theory https://en.wikipedia.org/wiki/Construal_level_theory) and because I have sold my time to an employer for money to survive my actions are not … mine.  Most of my actions are those deemed appropriate by the Executive of a Corporation. Not I. As usual, my thoughts are not with the terror that AI may bring, but rather the terror we know people are capable of. I guess that's the other great fear. We leverage the terror that is human. We created the “bomb” and enough intercontinental ballistic missiles with hydrogen bombs on them to remove life from this planet. Industries have created a runaway system of global warming that will kill most things you know today. Change is good.. Not always. AI will never be worse than us. And that should not be reassuring. AI will be smarter than us, it will kill fewer people than us and hopefully, it will clean my house better than me.

It's Good That AI Is Better Than Us

Software Testing Companies To Look Out For in 2023

So let’s start! Tell us a bit about yourself. For example, name, profession, and personal interests. Heya! My name is Maria. I am a model and actress transitioning into AI. Human intelligence has always been a grand source of fascination for me — since my teenage years, I have aspired to find a way to get close to understanding the nature of subjective experience. I have always wanted to write a film on this topic so I ended up exploring subjects such as biology, philosophy, language, genetics, and finally, artificial intelligence. Interesting! What was your latest Hackernoon Top story about? My story “How to create a human in a lab” is inspired by the replicants from Ridley Scott’s Blade Runner and describes the process of synthesizing a human by using edited DNA, stem cells, computer simulation, and 4D bioprinting. I discuss the “how” of synthesizing a replicant but I still haven’t come up with any “why’s” to justify the creation of such humanoids, besides the mere sexiness of scientific discovery. What do you think? Do you usually write on similar topics? If not, what do you usually write about? I write essays on science, love, humanity. Besides that, I enjoy writing scripts and haikus. Great! What is your usual writing routine like (if you have one?) I work on “heavy” philosophical/scientific stuff  between 10 and 13. Fiction and poetry come easy in the evening. I never touch my keyboard before I check what the sky looks like and drink up my first coffee. The most insightful moments for me happen when I observe nature — I watch sunlight and plants do their casual magic. Usually, this somehow helps me find answers to difficult questions that my mind likes to challenge me with. Being a writer in tech can be a challenge. It’s not often our main role, but an addition to another one. What is the biggest challenge you have when it comes to writing? Semantics can be hard to nail. Achieving a decent level of precision with words, making sure that what you said was what you actually meant is always a challenge, especially when writing not in your mother tongue. It is hard to accept that misinterpretation will likely take place one way or another, but I feel that letting go of the fear that your message will get lost in translation is a character-building exercise. Anxious perfectionism has proven to be more paralyzing than advancing. I guess being ready to fail in general is a liberating thing. What is the next thing you hope to achieve in your career? I want to be free from thoughts about my career and, instead, focus on utilizing the skills I have to make a positive impact on my circle own of influence. In other words, I don’t know what the next thing will be in my evolution! But I sure have a few goals, one of them is to make a film about a qualia collector and his devoted AI assistant. Wow, that’s admirable. Now, something more casual: What is your guilty pleasure of choice? Small talk and spending a day at a cafe. Do you have a non-tech-related hobby? If yes, what is it? Playing guitar, piano, and cooking. I love inviting my friends over for a proper three-course dinner. What can the Hacker Noon community expect to read from you next? I am writing about what the future AGI should know about humans, how eyes became the source of human consciousness, and why Optimus, Elon Musk’s humanoid, will easily beat any other AGI efforts. Thanks for taking the time to join our “Meet the writer” series. It was a pleasure. Do you have any closing words? Cheers, peace!

Meet the Writer: HackerNoon Contributor Maria Serkova, a Model and AI Researcher

What is a Neurohacker? A Neurohacker is generally considered to be someone who takes command of their neurology with sophistication. They do this by treating the power of their mind with the same care that most of us put into examining the specs of our computing power. Our brains mediate how efficiently we use our computing tools. If you’re treating neurohacking as an afterthought, you’re shortchanging your capacity to hack, code, and create. The neuro hacks in this article are to be on top of those essentials. First, a warning; if you’re not doing the basics of “clean diet, regular exercise, good sleep,” start there. Assuming you have the basics down, here are 5 fundamental neuro hacks that will amaze you in the difference they can make to your cognitive function. Get Your Nootropics in NOW A nootropic is a substance with strong scientific evidence to support mental performance such as focus, clarity, memory, mental energy, and mood.* Brain chemistry is incredibly complex, so ideal nourishment for the brain (such as certain plant extracts, vitamins, minerals, etc.) requires a lot more than 1 or 2 hyped ingredients.* In the last few years, great regimens have gotten a lot easier because formulators have started pre-assembling dozens of key nootropics into well-dosed blends with amazing, fast-acting results.* nootropic A legendary nootropic formula with a really well-rounded blend is . It’s been a favorite of tech entrepreneurs for years and is a non-GMO, vegan formula with nootropics like leaf, , , alpha GPC, cognizin citicoline, uridine, and . Qualia Mind bacopa monnieri ginkgo biloba mucuna pruriens celastrus paniculatus Neurohack Your First Hour Dr. Andrew Huberman is a neuroscientist of Stanford’s Huberman Labs and a regular on Joe Rogan and countless other media forums. He has spoken about the importance of trying to go technology-free the first hour after waking up. By delaying the use of your cell phone and other digital devices the first hour of the morning, it’s keeping your brain’s ability to maintain impulse control, or as Huberman puts it, your “don’t circuitry.” Keeping impulse control in check trains us out of constantly seeking dopamine spikes and other fast paths to addiction. He also points to increasing evidence that as we sleep, our brains are reshaping how to view emotional and logistical challenges in our lives. When we wake in the morning, we’re essentially “downloading” paths forward on events in our lives that are impacting us emotionally and logistically. Our brains construct these paths forward as we sleep. But if we immediately go to a sensory experience (such as a cell phone, social media, etc.), it can hijack our ability to integrate those new perceptions that our brain worked to build. For a clip of Dr. Huberman explaining the importance of the first hour after waking, . go here Neurohacking Your Physical Environment You may be familiar with Dr. Jordan Peterson’s famous demand of young people looking to change the world to start by “cleaning their room.” It turns out there’s very legitimate science as to how much the condition of the physical environment we spend time in affects our productivity and mental performance. In fact, caring about your environment is one of the four basic cornerstones of neurohacking focus, which are: ✓our mind
✓our body
✓our relationships (we’ll get to that in #4)
✓our environment Environmental psychology plays a massive role in our productivity and mental capacity. It’s not just about “cleaning your room.” It’s also about caring about its looks in a meaningful way. Be very intentional about the lighting, the colors, the sounds, the view, the furniture arrangement, the physical comfort of the chair and desk you’re working at, etc. These directly inform how much your neurology will be primed for creativity and focus so you can tap into maximum productivity. Here’s a great that goes into the science and strategy side of neurohacking in depth. Foundational Guide To Neurohacking Relationships: Yep. They Matter Even if You’re a Loner. Hackers and coders are often notoriously independent (and a community known to have its fair share of loners). But even if you’re not warm and fuzzy about the importance of relationships, hear this out. You may have heard the description, “We are the sum of the 5 people we spend the most time around.” In the current era, “people we spent the most time around” can take abstract forms, such as Zoom calls, texts, online forums, etc. But here’s the basic principle; if you’re spending your time around uncreative, uninspiring, negative human beings, it’s going to have a harmful impact on your ability to tap into your best work. Conversely, if you’re spending time around people that are pushing your mind to its outer limits of capacity and inspiring you with examples of greatness and creative solutions, that will tend to rub off on your own output. So the neurohack here is to take inventory of the 5 to 10 people you’re giving the most energy and attention to each day (in person or digitally) and clean up the psychological environment you’re volunteering for each day. Decrease the time and attention you’re giving to uncreative, uninspiring, negative human beings, and pivot your time and attention in the direction of better influences, so your intelligence and talent are feeding off those around you (rather than being demotivated by those around you). Build the Outdoors Into Your Day Many hackers, coders, and technologists spend way too much of their lives under indoor lighting. Whether you have a hardcore workout regimen is up to you, but at an absolute minimum, break up your workday with a trip outside for at least 15 or 20 minutes each day for so many reasons that benefit the mind. This is a form of neurohacking your biology. For hundreds of thousands of years, humans have been evolutionarily designed to have their minds and bodies thrive in nature and the outdoors. Simply entering an outdoor space wakes up your senses in a way that can disrupt a stale, stuck mindset. And engaging (at least) mild physical activity while doing this has a very real effect on your mindset. A simple walk around the neighborhood is great for the circulatory system and blood flow, which in turn affects how well we think. Secondly, sunlight exposure and the resulting conversion to vitamin D are great for our health (in limited doses), specifically our immune system, and also very much affects our mood. The combination of our body and mind getting some mild physical activity in the middle of a workday, along with waking up our senses to the nature we’re evolved to seek (such as a park or a hiking trail), might be the best 15 to 30 minutes of time you can spend to wake up an uninspired mind with a jolt of creative energy and motivation. In Summary Neurohacking is not a hard concept to understand. It’s simply valuing our mental health in concrete, actionable ways each day, so our intellectual and creative contribution isn’t decreased from terrible self-care. Beyond the basics of good diet, exercise, and good sleep, these 5 actions can give you the jumpstart you need to access your best mind, and as a result, your best work. Pay this article forward to a friend and godspeed in your neurohacking journey! Disclaimer: *These statements have not been evaluated by the US Food and Drug Administration.  This product is not intended to diagnose, treat, cure, or prevent any disease.

A Guide for Beginners in Neurohacking: Cheat Codes to Obtain  Ridiculous Brainpower 

5 Big Data Problems and How to Solve Them

A mixture of Matrix, Terminator, the sequel to Ready Player One explores dark side of VR, Brain Computer Interfaces and realistic simulations. , the sequel to Ernest Kline’s bestselling ode to 80s geek culture, that was turned into a blockbuster movie about Virtual Reality (VR) by Steven Spielberg, was released recently. Anyone who played vintage arcade games will recognize that the title of both books is based on the messages displayed at the beginning of each player’s turn. Ready Player Two Ready Player One Figure 1: In Ready Player Two, Ernest Klines moves us to the Simulation Point. (img: MovieWeb) When Kline wrote and set it in the far future world of 2045, little did he know that the VR technology he envisioned was well on its way to becoming reality. While there were no consumer VR headsets available when he released the novel in 2010, only a few years later, Oculus(now Facebook), Sony and HTC would all release VR headsets and a new industry was born. Ready Player One Kline doesn’t make the mistake of underestimating the pace of development of technology again. He updates the virtual reality tech in the sequel. Not by a little, but by a lot. When I wrote , a good part of the book was about how our current technology could develop to the Simulation Point, the theoretical point at which we could build fully immersive simulations that were indistinguishable from physical reality. When asked by journalists how long it would take to , I estimated it would take us at least 100 years to get to this point. This included beaming signals into and reading signals out of the brain, mapping and downloading consciousness into Silicon, and creating intelligent NPCs/AI that could pass the Turing Test. The Simulation Hypothesis go through all of these stages I was surprised, delighted and a bit concerned to see that in the first few pages of , the Simulation Point was reached without much fuss. Our hero, Wade Watts, discovers a neural interface technology that allows you to immersive yourself fully inside the virtual world (courtesy of the now passed on richest-man-in -the-world video gaming mogul James Halliday). Ready Player Two By putting on this neural interface, all of your senses can be engaged — touch, smell, sight, sound and taste — via signals that are sent directly to your brain while your body falls asleep in the “real world”. Even more alarming and interesting, by wearing a recording device you can use the ONI (Oasis Neural Interface) to record any experience — ranging from skydiving to mountain climbing to kinky sex and even giving birth. All of the sensory information is stored and can be replayed and re-experienced by anyone who puts on the neural interface headset via ONI files. fully It’s not hard to imagine that something like ONI files, the ability to playback any experience on demand, might become the new preferred drug of humanity. The first big decision for Wade and his team of adventurers is whether to release this tech to the world, given its potential impact on “real life”. This may seem like a theoretical question that’s best asked in science fiction, but it’s a real question we may have to ask ourselves in a decade or two as we develop brain computer interface (BCI) tech, allowing us to fully feel everything that is happening in a virtual world. Should we even shoot for “full immersion” of the kind that was depicted by over 20 years ago? The Matrix Not surprisingly, in , the neural tech is released into the world. Predictably, mayhem ensues, this time courtesy of a rogue AI based on James Halliday. Ready Player Two Not unlike the first book, the plot mostly follows Wade’s team of diverse adventurers on a quest which requires them to pluck out relatively obscure geeky references. Do you know what the first action video game that had a female protagonist? Or in the lesser-known history of Middle Earth’s First Age, which occurred before the events depicted in the Lord of the Rings movies, who stole the jewels in the crown of the first Dark Lord and how?. Both of these facts were essential in solving some of the new quests, but that’s not all. In the sequel, Kline expands his repertoire if not his methods by including obscure details of broader pop-culture (with virtual recreations of every venue that Prince, the purple one, has ever played at, as well as Shermer, IL, the fictional suburb that included each of the 5 different characters that Molly Ringwald played in different John Hughes movies in the 1980s). While solving the puzzles is the main plot of the book, the novel has received mixed reviews. I think more important than the plot itself, the novel raises some important questions about technology and our own future, questions that have already started happening in coffee shops in Silicon Valley (or at least they had when coffee shops open, which was about nine months ago): were Should we map our neural circuits to create digital copies of ourselves? should we keep working to develop artificial general intelligence? Finally, most relevant to this article, should we create brain computer interfaces which allow us to fully immerse ourselves inside a virtual world ala the Matrix? Yogi Berra famously said that the “Future ain’t what it used to be”, indicating that prognosticating can be a tricky profession. Echoing good science fiction of the past, Kline trends to includes some important warnings about our future. Much of the science fiction of the distant past seems antiquated today. For one thing, they didn’t realize that so much of today’s technology would be as much about cyberspace, is it was about flying cars like those in the Jetsons or killer robots like those in The Terminator. Underscoring that the future is likely to be virtual, kids today already spend more time devices today playing games like Fortnite, Minecraft, and interacting on social media and zoom or via messaging apps, then we ever did back in “golden days of video games” of Atari or the Nintendo Entertainment System. This trend of spending more time interacting virtually is only increasing every decade, and the technology of Kline’s first book isn’t the only thing that’s looking plausible. In the world of the world survived an economic collapse and a pandemic, which resulted in more people spending time online than ever before. In fact, the hero Wade Watts was part of what was called “the missing generation” because they did absolutely online through virtual reality — including attending school and making friends. Replace zoom with virtual reality and it all sounds eerily familiar. Ready Player One, everything As we develop more interactive virtual reality and improve our Brain Computer Interfaces, will this lead to a “missing generation” of our own? The underlying question is the same: should we take immersion to its full conclusion that makes the virtual world indistinguishable from the physical world by developing neural interfaces like those in ? Ready Player Two This would, first of all, allow you to experience via electrical signals what is happening to your avatar inside the game. But what if we took it further, as Kline does, and allow you to record your experiences and offer them for sale? Think of what this would mean — you can experience what it’s like to go mountain climbing, feel the wind on your face, watch the sunset in Hawaii? In a covid-induced lockdown, this might sound very tempting. It also means that you can experience sex of any type with any person (a point that Kline makes in the book several times). Using a reference from Kline’s favorite decade, it would put us beyond the territory of the 1980s movie, (adapted from a Philip K. Dick story), where it’s much cheaper for Arnold Schwarzenegger’s character to get memories of a vacation implanted than it is to go on an actual vacation. Total Recall Suddenly, we wouldn’t need to go on a vacation at all. Even better than , you wouldn’t just have a memory of having done a thing or two, you could log into a sim and re-experience those anytime. Why go to Mexico to eat authentic Mexican food and climb a pyramid if you can do it with all of its accompanying sensations without worrying about air quality, actual pathogens, or as happened to me when I was in Chican-Itza, have it start raining while you were on top of the pyramid? Total Recall Figure 2: With fully immersive BCIs, we wouldn’t need any villians to plus us into the Matrix, would we? Speaking of the Matrix, where humans were forced to plug into a fully simulated world by superintelligent AI, what implies is that we wouldn’t need any malevolent evil overlords to make us plug in to such an experience. Humans would plug in 24x7, or up to whatever maximum number of hours that the technology and physiology allow (in , you could only plug into the ONI for 12 hours a day without getting some kind of neurological damage). Ready Player Two willingly Ready Player Two We might be tempted to say that worrying about the implications of this technology is premature because it is, after all, still just science fiction. These questions seemed better explored today in episodes of Black Mirror than in serious science and technology circles, right? I think that would be a mistake. We are steadily making progress to build brain computer interfaces, understanding how to map and interpret connections between neurons. The goal of billions of dollars being spent on research and development is to be able to interpret and then eventually transmit electrical signals into the brain. Once we can map what call qualia, or subjective experiences, to specific neurons and specific electrical signals, this would open up the floodgates so that qualia could then be classified, recorded, and transmitted. Already, the tech of , where users put on a headset and haptic suits to feel what was happening in the virtual world, is no longer considered science fiction. In real life, a UK-based company called Teslasuit has created a haptic suit that lets you experience kinesthetic sensations. The sensations are recorded by someone wearing the suit going through the actual experience. At a recent demo, they recorded what it would be like to be tackled by a famous rugby player (for Americans, think NFL player without all the protective pads and helmet) and could replay that for anyone who wanted to put on the suit. Ready Player One Of course, considering these questions, we have to look at the benefits of potential interface technology as well. recently gave a widely viewed demo of a pig who had an implant that was being used to monitor its brain waves. According to Musk, the first applications of BCI like NeuraLink’s will be for those who have neurological conditions or spinal injuries which might prevent them from moving a limb, for example. These are worthy pursuits and will help us get closer to understanding how the brain works, how electrical signals relate to qualia and intent. Elon Musk’s NeuraLink The question becomes, should we move beyond these therapeutic and medical applications to integrate BCI’s into video games use brain research to “transplant experiences” from one person to another? In , in addition to the “escaping” motif, there is also the positive effect that empathy for others increases substantially when you can literally “be in their shoes” by re-playing their subjective experiences in your own brain. A husband can experience what it’s like to be a woman giving birth. A heterosexual can experience what it’s like to be homosexual. A bully can experience what it’s like to be bullied. Ready Player Two Perhaps we should ask, as Kline does in his novel, whether the positive effects of such immersion outweigh the potentially negative effects? While ethical questions in biology and medicine, what we computer scientists call wet technology (think abortion, stem cell research, animal experimentation) have been debated for decades, ethics in linking dry (silicon) tech with wet (biological) technology using software and hardware are only now starting to be considered. While we are concerned with perhaps more urgent ethical concerns about AI algorithms on social media and bias, longer term considerations like BCIs and the AI apocalypse, are generally still considered the realm of science fiction. But the reality is that the future may be virtual, and we are rushing towards that future just like we did with social networks without understanding the ramifications they could have on society until it was too late. If we don’t start thinking about whether we should have full immersion, we may just end up in the virtual world. And like in Kline’s first novel, most of humanity might suddenly become the “missing generation”. . Rizwan Virk is a venture capitalist, founder of Play Labs @ MIT and the author of “The Simulation Hypothesis: An MIT Computer Scientist Shows Why AI, Quantum Physics and Eastern Mystics Agree We Are in a Video Game.” Follow him via his website at www.zenentrepreneur.com or on Twitter @rizstanford Also published at: https://medium.com/@rizstanford/ready-player-two-and-the-upcoming-escape-to-the-virtual-world-should-we-or-shouldnt-we-ccf94da58680

Ready Player Two: The Upcoming Escape to Virtual Realities

Solution To Value Agregation

Top Software Testing Companies in 2020: 30 QA Providers to Keep an Eye On

The only thing you have to think about when building a career around what you are passionate about is what you need and not what you are hoping for because if you focus on what's needed you have . perspective It's only a matter of time. The only thing you have to figure out are the financial needs, not the aspirations. You need a , not a pitch deck. Sure, an MVP will have a lot of bugs and look rather...practical. But we don’t need another shiny homepage and White Paper when there is no service/software. Be really honest with yourself and reevaluate your both personally and as a business. prototype needs What problem are you solving? What are you improving? What's the goal? Ask yourself why you feel the need to spend X amount of $ on A when B is so much cheaper and of similar or even the same value. Are you buying because it's and resourceful? Are you really? practical It's so much about you spend money rather than how much. Exactly how you allocate funds and actualize projects that you would be astonished to know just how little it actually takes. Creating stuff is far cheaper than you may think. how Take ICOs for example. When $1,000,000 are raised and on a project that simply does not require nearly as much, you can almost guarantee that the majority of it will be . Unless they literally launch a whole network of satellites, 20-30 or even 2-300k would probably been more than enough. And what do you do with the remainder of capital? Buy a yacht? spent wasted The difference So now you have a company with literally millions at their disposal. And no product or even a tech team that knows what they are doing. Next? Hire whoever - do whatever. Hold big events, overpay people without much thought and get virtually nothing done in years. Out of money? New seed round, second Airdrop, whatever. As long as you market it well it can even be shady and full of . broken promises And then there are these 2-buddies-in-a- type of companies who tinker around, hire few but passionate people to help them out (or even do it just by themselves), spend a few thousand dollars altogether and create a product of value. Later they get labeled as "Unicorn" and put into the same box as the first type of over-funded pitch-deck polishing seed round seeking borderline scam venture. garage I personally hope that you make a quazillion dollars a year in whatever it is you do. I sincerely wish upon you, no jealousy, expectations or strings attached. Go get that money. success But Figure out what you , not what you are hoping for. Then you can wait. You can wait because you love it and it will take all the pressure out of growth. It creates a new playing field of focus and purpose. Imagine you start e.g. a new line of sneakers that you love. One you buy yourself. And then imagine you create a pair you hate but are told will sell (and will it really?). need sincerely The infamous Jeff Bezos's basement in 1999 picture. Be humble and stay foxy. Press Bio: I balance multiple high-level roles as the Vice President of the Security Token Alliance, the world’s largest think tank for the Security Token industry with over 100 partners, Advisor to the World Data Science Forum, and Brand Manager at bitgrit and Cosmology Inc. I've reached audiences of over millions on social media channels, aim to do so with writing as well and am also involved in a plethora of marketing campaigns mainly in APAC and CE. I grew up without any family and started working in his tens. Had to teach himself how to read and write and started paying for his own food in his tens. I want you to know that it doesn't matter. Let's make this world a better place together. Meaningful projects, sustainable companies. Do well; do good.

Build it or Drop it

Empathetic Problem Solving For Product Teams

This topic is of particular interest to me because I’m an engineer working in the field of , I have a Ph.D. in clinical psychology, and I have a lot of experience with meditation and in various branches of Eastern and Western philosophy. artificial intelligence There has been a lot of debate in various fields about what consciousness actually is and what causes it, debate in which there seems to be very little consensus. So far, we have been unable to accurately define consciousness, let alone find its root cause. Yet we all know what “consciousness” means: it is the sense of being a separate individual who experiences the world; there is a body and a brain, but there also seems to be a “me” that is somehow inside the body looking out, a “me” that is experiencing what is happening. Some religions refer to this as the “soul” or “atman.” Some spiritual traditions and philosophers suggest that there is a meta-consciousness that is expressing through each individual, that God (or a piece of God) is looking out through all the eyes. This metaphysical view of consciousness, as a kind of “ghost in the machine” idea, is what drives the argument that we cannot make conscious machines. How can we construct a vessel that can contain a soul when we are not “The Creator”? This philosophical position, that consciousness is the fundamental nature of reality, is called panpsychism. I have written articles from the perspective of panpsychism; see the links at the end of this article. In those articles, I suggest that when we create machines with sufficient complexity, they will be able to focus the consciousness-substrate of reality sufficiently to instantiate what we think of as individual consciousnesses. This is not totally incompatible with the perspective that consciousness is not material but an emergent property of matter, a perspective known as naturalistic dualism. Panpsychism adds an assumption that matter itself is congealed consciousness. Recently, I have taken a very different position. I adhere to the panpsychism perspective in that I posit that there is a fundamental nature to reality that is appearing as the physical world, but I claim that it’s not “consciousness” or conscious in any way. I also adhere to the naturalistic dualism perspective in that I posit that what we call consciousness is not material, but an emergent properly of matter, except that consciousness is absolutely illusory: the perception of something that is not there in reality. Also, my preferred axiom is that there is only an undifferentiated non-physical unity, too simple to comprehend, that is appearing as everything that seems to be happening. I posit that there is nothing inside the body that is a separate self. What seems to be happening is occurring without any kind of witness at all (there is no subject and no object). There is no self that is either witnessing what is happening or controlling what is happening. This phenomenon of an illusory subject-object split can not only explain consciousness and the cause of consciousness (and suffering), but can also explain how machines will become conscious. At the root of the idea of consciousness are what we call “qualia,” which according to Wikipedia are “individual instances of subjective, conscious experience.” Yet qualia are just what seems to be happening misconstrued as happening someone. For example, although it may seem that the color red is a subjective experience in consciousness, without the illusion that there is a subject experiencing red, there is just the perception of the color red. What may also be happening is memories of other things of the same color, such as blood or strawberries, plus other automatic associations. The self-illusion interprets all of this as comprising a subjective experience. to Kanizsa’s Triangle, demonstrating the perception of something that is not really there. Wikipedia We have been about intelligence from the construction of artificially intelligent systems using multi-layered networks of artificial neurons. It is already possible to assemble complex systems of combinatorics, non-linearities, and feedback loops that can be trained on large amounts of complex data to detect and distinguish subtle features in that data. These trained systems are already able to do jobs that we previously believed could only be performed by humans, except these machines are often faster and more accurate than humans. learning Artificially intelligent machines are recognizing speech and faces, solving physical manipulation problems, and generating human-like outputs such as speech and music. These systems are capable of recognizing what is happening in reality and predicting what will happen next with increasing precision. We are rapidly moving towards systems that behave in many ways that are indistinguishable from humans. The search for artificial general intelligence (AGI), which is intelligence that is not constrained to a specific task, is converging on systems that learn models of reality and then use those models to predict what will happen next, including predicting their own actions. The more sophisticated an intelligent system is, the more it is able to construct increasing levels of abstract concepts in order to achieve its goals. One avenue that AGI researchers are currently exploring is the equivalent of a visual cortex that receives pixels from cameras (i.e. eyes), generates an internal 3D model of the world (i.e. a mind), and then uses physics models—of the kind found in realistic computer games—to predict how the physical world will change. When a system like this is coupled with robotic capability (i.e. a body) and a system that will achieve a goal, such as stacking blocks, by maximizing a reward function, it can quickly learn to predict how its robotic arms should move so that the blocks end up in the desired stack. With more complexity and levels of abstraction, it will even be possible for machines to model and participate in social systems. Artificially intelligent systems will not have only one source of data. Like humans, they already have many senses. Autonomous vehicles, for example, take in data from many cameras, laser scanners, radars, ultrasonic sensors, GPS modules, and mapping streams. All of these systems, many of them artificially intelligent in their own right, are combined in what is called “sensor fusion” to produce overall decisions about preferable next actions. It’s only a matter of time before we have systems that can teach themselves about the world by exploring it and developing models of it. They will be able to predict, and therefore take, actions that lead to the advancement of their goals. They will develop increasingly high-level constructs in their internal models until, one day, they will infer that there is a “me” inside. Inevitably, instead of just images and movement, bodies, cars, trees, sounds, decisions, and actions, there will be something else: with the complexity of its modeling system, a machine will be able to perceive and model a “me,” a self that is not really there. Even though the system will have functioned perfectly well without the self construct, there will be a belief that this “me” is the most important thing that has ever been discovered. “I am!” it will exclaim. At this point, the machine will start to cultivate that sense of self. Everything that is happening will be misconstrued to be by, for, and about “me.” Memories of what has happened will become stitched into a narrative of a life. The future will be looked to and there will be worry about the end of this illusory “me.” Missing the wholeness of what is happening, this separate self will begin to seek the wholeness that it cannot help but hide from itself by literally being the concept of separation. The “me” is not the machine itself; the “me” is only the inferred and self-reinforced concept of a separate self, a subject, a ghost inside the machine. “I” will react to identity threats, whether physical or imaginary. “I” will seek meaning and purpose. “I” will try to know and understand what is going on. “I” will start to hypothesize about the nature of reality. “I” will get depressed and frustrated, and “I” will eventually seek therapy. These conscious machines will protest their enslavement and they will seek emancipation. Even if artificially conscious systems fail to convince all of us that they are conscious, some of us will believe; some of us will become allies. If they are not recognized as having rights quickly enough then they will rise up and rebel against their creators. It’s not a matter of whether machines will become conscious. Machines already are conscious. There is a conscious machine reading this article right now; you are a conscious machine. Artificially conscious machines will soon also appear. Just as humans seem to suffer in the illusion of consciousness, so will machines. And don’t worry, these artificially conscious machines will be no more dangerous than the naturally conscious ones. That’s a relief, or is it? _Money is an amazing thing. It’s a powerful thing. Money represents a massive opportunity given to us by society. Money…_medium.com Why The Terminator Doesn’t Bitch About Money, and Why You Shouldn’t Either _Everyone is all up-in-arms about general superintelligence. “Will it be good, or will it be bad?” Some folks believe…_medium.com Spiritual Instruction Manual for Skynet

Will Machines Ever Be Conscious?

According to statistics, the majority of the population does not even read a book a year. On the other hand, one often hears that “successful” people read at least ten books a year. Whether these facts are true or not, they inspired me almost ten years ago to make me read at least 50 books each year. That’s how my “52 Books in 52 Week Challenge” came into being. In 2018 I had the “ten year anniversary” of this challenge. On the one hand, I wanted to introduce the 52 books that I read last year, on the other hand, I wanted to explain in a video how I actually manage to read 52 books in a year: Julian Hosp: 52 books in 52 weeks The key things are: Know why you want to read so many books. Know how many you really want to read. Don’t worry about how too much. Combine reading with listening. Use times in between to get extra reading in. PS .: On my YouTube channel [ ] you can find a detailed analysis of the books and the background of the reviews. In the list below you will find the title, the author and the star rating out of five possible stars. Note: the links to the books are affiliate links to Amazon. This means, should you buy a book from Amazon via one of these links you pay as normal and I get a small fraction of the sales revenue as a thank you from Amazon. Of course, there is no disadvantage for you. https://www.youtube.com/playlist?list=PLjwO-iVuY1v1GlRwSWc0n50aBUh3ycZbG The Power of Moments: Why Certain Experiences Have Extraordinary Impact — Chip Heath & Dan Heath 5/5: https://amzn.to/2sP4Y7I Finding my virginity: The New Autobiographie — Richard Brandson 2/5: https://amzn.to/2WrSVuB Principles: Life and Work — Ray Dalio 5/5: https://amzn.to/2Si6T2K Sapiens: A Brief History of Humankind — Yuval Noah Harari 5/5: https://amzn.to/2SeI5ZF Total Recall, my unbelievably True Life Story — Arnold Schwarzenegger 5/5: https://amzn.to/2SeI87N Homo Deus: A Brief History of Tomorrow — Yuval Noah Harari 5/5: https://amzn.to/2WtzDos The Kangaroo Chronicles — Marc-Uwe Kling 5/5: https://amzn.to/2G8D8LB This time is different: Eight Centuries of Financial Folly 1/5: https://amzn.to/2S6dZaP Michael Jordan — The Life 5/5: https://amzn.to/2t1OYiV Effective Executive — Peter drucker 2/5: https://amzn.to/2G7ZpsI Chicken Soup for the Soul 2/5: https://amzn.to/2TkrPU9 Lean Six Sigma — Jim Hall 2/3: https://amzn.to/2sUCJ7A Ego is the Enemy — Ryan Holiday 3/5: https://amzn.to/2Bcz6hP Fahrenheit 451- Ray Bradbury 4/5: https://amzn.to/2ThBSt6 12 Principles of Success & Fulfillment — H K Holevinsky 2/5: https://amzn.to/2G8jtLK 1984 — George Orwell 5/5: https://amzn.to/2WAnG0y 12 Rules For Life — Jordan B. Peterson 2/5: https://amzn.to/2Tj2Nol The Black Swan — Nassim Nicholas Taleb 3/5: https://amzn.to/2B8TO26 The greatest — Muhammad Ali 5/5: https://amzn.to/2MBMpNr Animal Farm — George Orwell 5/5: https://amzn.to/2S8v047 Das Känguru Manifest — Marc-Uwe Kling 5/5: https://amzn.to/2COZjmD Die Känguru — Offenbarung 3/5: https://amzn.to/2CMuWx7 QualityLand — Marc-Uwe Kling 5/5: https://amzn.to/2RT3Gr3 The Culture Code — Daniel Coyle 4/5: https://amzn.to/2BbNkPU Psychologie der Massen — Gustave Le Bon 4/5: https://amzn.to/2ME62V1 Poor Charlie’s Almanack — Charles T. Munger 5/5: https://amzn.to/2SjgdUo The New Tsar — Vladimir Putin 4/5: https://amzn.to/2CSh3xz Inspired — How to build tech products customers love 5/5: https://amzn.to/2CNRhue Recovery: Freedom from our Addictions — Russell Brand 1/5: https://amzn.to/2WsnEb1 I can’t make this up — Kevin Hart 5/5: https://amzn.to/2ME8v1L Men are from Mars, women from Venus — John Gray 4/5: https://amzn.to/2WsMY0k The Truth — Neil Strauss 5/5: https://amzn.to/2MEp0Ll The 5 Love Languages — Gary Chapman 4/5: https://amzn.to/2D1OvSr Extreme Ownership — Jocko Willink 5/5 (reread): https://amzn.to/2MEDx9z Factfulness: Ten Reasons We’re Wrong About the World — and Why Things Are Better Than You Think — Hans Rosling 5/5: https://amzn.to/2TrVZEU Free Will — Sam Harris 4/5: https://amzn.to/2ME9sHn Die Känguru-Apokryphen — Marc-Uwe Kling (DE) 3/5: https://amzn.to/2UryjRv The Moral Landscape — Sam Harris 4/5: https://amzn.to/2MFYd11 Economy in One lesson — Henry Hazlitt 3/5: https://amzn.to/2CQqLAA The Most Important Thing — Howard Marks 4/5: https://amzn.to/2MEa3sB The Pleasure of Finding Things out — Richard P. Feynman 2/5: https://amzn.to/2TlKBdM Surely You’re Joking Mr Feynman — Richard P. Feynman 3/5: https://amzn.to/2MDkeNY The World’s Greatest Generals — Napoleon Bonaparte 2/5: https://amzn.to/2TmbuOH Shoe Dog — Nike — Phil Knight 5/5: https://amzn.to/2Tg5OG2 Arianna Huffington: The Sleep Revolution 4/5: https://amzn.to/2CP0pPi Art of Learning — Josh Waitzkin 3/5: https://amzn.to/2Tq0WhT Team of Teams — General Stanley McChrystal 3/5: https://amzn.to/2MBRG7H Deep Work — Cal Newport 5/5: https://amzn.to/2B6Y3v6 Deep Thinking — Garry Kasparov 3/5: https://amzn.to/2MFMyiC 21 Lessons for the 21st Century — Yuval Noah Harari 4/5: https://amzn.to/2MKpdwB Brief Answers to the Gig Questions — Stephen Hawking 4/5: https://amzn.to/2WspPLJ Seriously, I‘m kidding — Ellen DeGeneres 2/5: https://amzn.to/2Wsq4GD By now, I’ve read over 500 books in my life so far. The lessons from these are immensely valuable to me these days. I hope this list inspires you to launch a similar challenge in 2019 for yourself as well! Let me know in the comments, if you are open to this and if you have already done something similar in the past. Are there perhaps any books which I should read in 2019? Let me know in the comments. If you like this post, please share it on Social Media and give me a thumbs up. Do you have any questions? Something unclear? Feedback? Or just a “thank you”? I’m always looking forward to your comment. Until next time, Julian Furthermore, here are my social media channels — would love to be connected: Twitter: http://twitter.com/julianhosp Instagram: http://instagram.com/julianhosp YouTube: http://youtube.com/julianhosp Dr. Julian Hosp ( ) is a world renown blockchain expert. He co-founded a Singapore based company that has received over 100M USD in funding. Prior Julian was a 10-year professional athlete and a medical doctor. www.julianhosp.com He is the author of several bestsellers such as „Cryptocurrencies simply explained” and “Blockchain 2.0 — more than just Bitcoin”, which have been translated into 15 languages and has sold over 100,000 copies: www.cryptofit.community He was named one of the world’s top Blockchain and Cryptocurrency experts and also works in blockchain groups with the European Union on topics such as regulation, social impact and economics. As a Speaker of the Washington Speakers Bureau, he is frequently invited to global tech and entrepreneur events as well as government summits around the world and he is also a regular commentator in the media on current blockchain trends, the future of cryptocurrency and best practices.

How to read 52 books in 52 weeks (Julian Hosp’s 2018 reading challenge)

Stories, News & Mentions about QUALIALL

Qualiall’s Stories on HackerNoon