The UAW agreement with the Big Three builds a base of good jobs in EVs, and could help the entire transition. But interest rates are a huge impediment right now.

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TORONTO, ON / ACCESSWIRE / November 1, 2023 / Lahontan Gold Corp (TSXV:LG)(OTCQB:LGCXF) (the "Company" or "Lahontan"), a fully financed mine development and mineral exploration company, is pleased to

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Choosing the best microwave oven can make a significant difference in your kitchen. From quick reheating to gourmet cooking, we'll explore top options to simplify your decision-making process.

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Electric Vehicles Labor Uphill

When technological advancements and market fluctuations run in parallel, challenges are present, but so are opportunities. The global energy storage markets exemplify this.

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Opalesque Industry Update - GCM Grosvenor, a leading global alternative asset management solutions provider ... "We believe our comprehensive global sourcing strategy and flexibility of investment implementation approaches will continue to drive future ...

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Q3Connect, a provider of a web-based immersive training and collaboration platform, today announced a seed round of funding through the NOVA Prime Fund, a venture capital fund created by global innovator LG Electronics.

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Nowadays, numerous services are available for end-users through software applications. It allows for targeting a wide audience of users and customers. However, your audience can be wider, how can it be achieved? One of the most efficient ways to do that is developing a cross-platform application that will address customers that use different operating systems. And here comes Qt framework for help. Qt is a mature toolset that allows developers to create sleek and look-and-feel user interfaces, mobile, and web applications as well as software for embedded systems. Qt earned trust among developers and customers due to its all-in-one and open-source nature. Along with that, Qt is used by a large number of popular applications and famous organizations. Let’s explore 10 successful cases of using Qt. 1. Adobe Photoshop Elements Adobe Photoshop Elements is a program - a graphics editor - that allows for importing, organizing, and editing digital images. It is based on Qt and can run on Windows OS and macOS. 2. EAGLE CAD IDE EAGLE CAD IDE is a software application that is used for automating the design process of schematic capture, printed circuit board layout, and circuit diagrams. This software is also built with the help of Qt. 3. Google Earth Google Earth is computer software that shows a 3D model of the Earth by the usage of satellite images. This program can help you virtually visit every corner of our planet from various angles. This program is developed with the use of the Qt framework. 4. TeamViewer TeamViewer is a computer software created for controlling and accessing computers and other hardware and maintaining them remotely. It is compatible with Windows, Linux, macOS, Android, iOS, iPadOS. So, it’s cross-platform and is developed with Qt. 5. Telegram Telegram is a service that provides end-to-end encrypted voice calls, video calls, and chats. It is cross-platform and cloud-based and its components are open-source. Telegram service is developed with Qt framework and is available on iOS, iPadOS, watchOS, Android, Windows, macOS, and Linux platforms. 6. European Space Agency (ESA) The European Space Agency (ESA) cooperated with Qt company for building a 3D rendering software module that is integrated into ESA MAPPS planning tool that is based on Qt as well. 7. DreamWorks Pictures DreamWorks Pictures is Amblin Partners’ film distribution label. Their NxG Lighting tool is developed with Qt and DreamWorks team uses Qt framework to make the films. 8. LG Group LG Group is a large corporation with a number of subsidiaries such as LG Electronics, LG Display, LG Uplus, LG Chem, LG Solar Energy, and LG Household and Health Care. LG Group developed webOS - a definitive operating system for smart devices. webOS is compatible not only with LG devices and products but also with other OEMs’ products all over the world. LG created its webOS with the use of Qt framework. 9. HP Inc. HP Inc. is an IT company and a manufacturer of personal computers, laptops, and printers together with the accompanying software. And their software is built with the use of Qt framework as well. 10. Walt Disney Animation Studios Walt Disney Animation Studios is a famous animation studio that makes fascinating and unforgettable cartoons and movies for all of us. To create all their colourful and beautiful characters and other animation things, they use Autodesk Maya which is also based on Qt. Why is Qt so popular? The matter is that Qt framework has a set of great advantages and various sub-tools, and here are the most remarkable of them: - Qt is highly improved and completed. Qt framework was released in 1995 and has been improved and tested by experienced engineers since that time. - Qt framework is open-source, and it can help you reduce the development expenses and create a cost-efficient product. - Qt is based on the C++ programming language. C++ is notable for its encapsulation, inheritance, polymorphism, and classes. - The Qt framework contains bindings to other languages: JavaScript, Python, Ruby, and so on. So, it’s not limited to using only C++. - Qt framework ecloses special tools for building intuitive UI/UX designs. These tools are QML, QtGui, Qt Widgets, QtUiTools. Conclusion In a nutshell, building a cross-platform application for your business can help you write your own success story. Additionally, using Qt for your application development can extremely optimize this process, save your budget, and reduce time to market.

Using Qt: 10 Famous and Successful Cases

What Is Happening? With a $4 million war chest, , a DeFi accelerator nested in the Klaytn ecosystem, is debuting its accelerator program to develop, incubate, and promote DeFi products on the EVM-compatible Klaytn blockchain. This week, the first initiative to join the Krew accelerator, KLAP - Klaytn Lending Application, stepped out of the shadows and quickly found an audience among tens of thousands of people with its launched product for the DeFi industry. Krew Experienced entrepreneurs and analysts from top venture capital companies have teamed together to start Krew, including Adam Cader, Hugo Campanella, Mark Shim, and Seth Jeong from ROK Capital and DeSpread. Projects built on Klaytn benefit from Krew's liquidity, marketing help, advice on tokenomics and other crucial parts of successful launch operations goal are to expand the network's user base outside asia. Kakao Corp, the company behind Korea's most popular messaging app, KakaoTalk, is a major investor in Klaytn, which helps the blockchain ecosystem to receive thoughtful advice and expertise. : Vested Interest Disclosure The author is an independent contributor publishing via our . Be it through direct compensation, media partnerships, or networking, the author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the story for quality, but the claims hereon belong to the author. #DYOR brand-as-author program What is Krew? Krew is the Klaytn DeFi accelerator, utilising its capabilities to help the Klaytn ecosystem by providing liquidity and knowledge. The company Krew, founded by veterans of Web2, TradFi, and Web3, argues that the crypto network arms race will ultimately choose the victors. Klaytn has a significant advantage because of Kakao's support. How Is South Korea is Taking the Blockchain Market by Storm and Why We Should Care Samsung, LG, Klaytn, and Kia Motors, Hyundai are just a South Korean technological titans that have developed and captured the international markets in recent years. As part of South Korea's for the Fourth Industrial Revolution, blockchain usage in business and public life has been steadily increasing across the country. From 2020 through 2024, the Seoul Government to devote over $187 million to promoting blockchain-based enterprises in their early stages. Blockchain initiatives will get approximately $40 million in 2020/2021 from the South Korean government. few plans plans Increasing support and adoption of a metaverse in South Korea has been a priority for the Klaytn Foundation, an entity created to support the worldwide acceptance and ecosystem maturity of Klaytn and blockchain technology. For example, Klaytn use of layer one blockchain technology in South Korea and worldwide markets is getting popular with more than two million active accounts. Further, using its knowledge to draw a DeFi audience to the blockchain network and tap the America, APAC and Europe region, Krew seeks further to accelerate Klaytn's development in South Korea and abroad with the development of web3 applications that provide services in DeFi, IoT, Big Data and Public Sector industries with practical and commerically viable business. Krew has received nearly $4M in a pre-seed round, headed by Quantstamp and Ascentive Assets, to advance the Klaytn DeFi ecosystem in South Korea and in international markets. The financing also included participation from prominent investors ROK Capital, Manifold, Krust, and Novis, who want to promote the development of web3 applications in the international and South Korean markets. South Korea is Placing its Fortunes on the Metaverse Although it is yet unclear what format the metaverse will take in the next 50 years, South Korea is placing its bets on the budding sector as the next big phenomenon. The Ministry of Science and Information and Communication Technologies intends to jumpstart the metaverse sector in South Korea by supporting businesses and generating employment as part of its Digital Innovative Deal, a programme for investing in new technologies in the nation's economy. The initiative, which Lim Hyesook, minister of science and information technology, called "an unexplored digital continent with boundless potential," has received 223.7 billion won from the government. Seoul's metropolitan government is building a 3.9 billion won metaverse platform to allow citizens to access government services online. The terminology "metaverse," which has been more popular recently, refers to new technologies like virtual reality and the idea that people would interact with and live in such worlds. Since Facebook changed its name to Meta and promised to create a future centred on the metaverse, it has been heralded as the emerging leader in technical services. The government intends to generate almost 2 million new employment by investing $8.7 billion in a range of ventures, including artificial intelligence, 6G, blockchain, big data and the metaverse. Final Thoughts on Krew Accelerator Impact on DeFi and South Korea Accelerators assist startups and the economy by disrupting the traditional markets and increasing employment in society. Founders get a lot of help and support from Accelerators that assist the startups in developing commercially viable solutions. In my opinion, the South Korean government is working hard to develop the technology and market for the metaverse, while other governments are taking a few dips into the ocean. The South Korean government's stance is to make South Korea the hub of blockchain in the Asian markets. Don’t forget to like and share the story! Image credits: , , and . Bundo Kim Louie Nicolo Nimor Alexander Popov

How the Krew Accelerator Program Will Support Blockchain Startups in Web3

CES 2019 Show Guide

EdenChain is creating a third generation smart-contract blockchain which they will utilize to implement a Programmable Economy. With the EdenChain platform, users can capitalize tangible / intangible values, and trade them over the blockchain. EdenChain also aims to provide a pervasive blockchain and token platform for applications across the board, including IoT, Energy, AdTech, P2P finance, Healthcare etc. Problem In regards to technology: With the growth of innovation in regards to a programmable economy, the two factors that currently hold these platforms back are security and performance. The original platforms created were extremely secure, but process transactions at an extremely low rate, making the possibilities of mainstream adoption impossible. Current existing platforms offer solutions which improves performance but at the trade-off of security. In regards to the global market: These tangible assets such as real estate, furniture, valuable arts, automobile, etc. are sold in a market managed by intermediaries. Both parties involved in the transaction require these services due to; lack of experience in these transactions, the process in which to finalize the sale, the necessity for oversight, and many more. These fees could range anywhere up to 20% or possibly more. Tangible Assets: The lack of platforms that provide a means to broker deals for intangible assets (time, social influence, services, networking, fame, etc.) causes the few current existing platforms to monopolize and charge extremely high fees to connect these deals. Intangible Assets: Solution EdenChain attempts to create the best possible solution to solve these global and technical issues that are present with modern day global market economy. Their approach to solve efficiency issues without sacrificing the user’s security could turn their platform into one of the most appealing up and coming projects out there. The EdenChain platforms allow any user to create a marketplace, attach their assets and trade via cryptocurrency, all without the necessity of a third-party. The platform offers a high level of security in regards to interoperability by implementing a consensus algorithm to ensure data integrity between on-chain and off-chain. EdenChain combines Namespace with Merkle Tree, isolates transactions by Namespace, and secures performance and scalability by constructing an Execution System capable of parallel processing by Namespace without processing one transaction at a time. Main Features & Tech Overview Architecture EdenChain’s blockchain architecture is comprised of 3 layers: a distributed ledger layer, a validation layer, and a bridge layer. Based on Linux Foundation’s open source project, Hyperledger Sawtooth, this distributive ledger layer provides the decentralized database functionality to EdenChain. The layer in which data used in the blockchain is distributed and stored, and only data of transactions agreed to in the validation layer are processed. Distributed ledger data can be added through transactions. Distributed Ledger Layer: PoET (Proof of Elapsed Time) is a consensus algorithm that uses a CPU command in the Software Guard Extension (SGX) to select a leader randomly without utilizing large amounts of energy to solve a hash problem. SGX allows applications to run trusted code in a protected environment. The layer where a transaction is executed and verified, and includes an Ethereum Virtual Machine (EVM) to run a smart contract. Transactions are executed and verified in this layer, which includes the EVM. With a Transaction Execution Scheduler, it forwards transactions to corresponding nodes based on namespaces. The router can be automated, allowing resource management across transactions and nodes. Validation Layer: One can also operate the blockchain with optimal resources and computing power through real-time monitoring of the workload allocated to the Trusted Execution Environment. By grouping related transactions into batches, the validation layer ensures efficient execution as well as eliminates any data dependency issues. The validation layer’s transaction scheduling function has a significant impact on the performance and scalability of EdenChain. This layer consists of an e-bridge that connects EdenChain with external data sources through secured interoperability, enabling the on-chain smart contract connects with the off-chain modules. This layer is used to securely import data needed by an on-chain smart contract within the blockchain in cooperation with an off-chain. Bridge Layer: In the bridge layer, nodes naturally exist on-chain and off-chain, and an E-Protocol using ECC-TC, which is an encryption technique, is used for reliable communication between these nodes. Advantages of a Permissioned Blockchain : Smart Contracts ran in a permissioned blockchain are faster and more efficient. Efficiency EdenChain achieves this by using a certain number of nodes based on a namespace, and ensures 100 percent processing of all transactions. : EdenChain utilizes cloud services to ensure high availability and operates an EdenChain system with a multi-datacenter pattern using a global DNS and a load balancer. High Availability A multi-datacenter pattern is a pattern provided by the cloud service provider Amazon. It is used by many Internet companies such as the Apache Foundation, Netflix, CloudFoundry, and Atlassian, furthermore, recommended by MS Azure. HelloEden: The All-in-One ICO Solution The HelloEden platform is an all-encompassing tokenization ecosystem developed in conjunction with an ICO implementation process for a distributed infrastructure. Through the various partnerships secured by EdenChain for their HelloEden platform, existing businesses can perform a, “reverse ICO” or new businesses can launch an ICO on HelloEden’s one stop solution for all of their needs. These various partnerships would ease the process for any businesses interested in adopting blockchain technology. These initiatives could make EdenChain one of the widely adopted platforms due to simplicity of on-boarding. One of the major platforms initially released, HelloEden, will have a variety of partnership services such as: In Summary: ICO Marketing Legal Services KYC Wallet Services Coin Issuance ICO Ratings These services will function to help assist any business that are existing or new, avoid the stress of adopting blockchain technology into their business. Roadmap The Private Sale Series Round A has concluded. The Private Sale Series Round B will begin in May. The whitelisting has closed for the crowdsale. The crowdsale will begin in May. The MVP / First Alpha is scheduled to be released before the ICO (April). Token Economics EDN Ticker: EDN will be ERC-20 post crowdsale, and swapped into EdenChain’s wallet format when the mainnet launches in Q1 of 2019. Token type: 1 EDN = 0.0600 USD ICO Token Price: $24,000,000 USD Hard Cap: 1,000,000,000 Total Tokens: Potential Considerations EdenChain’s project is ambitious. They are attempting to tackle various issues and markets all at once, which could end up being overwhelming. extremely Team + Advisors — Founder James Ahn Amassed over 20 years of experience in the field of IT Worked as CTO of CyberRenassance Inc. He served as a consultant to the NIA Platform, a technical advisor to the National Computing & Information Service, and an advisor to Cloud for the Korean Agency for Technology and Standards. Developed a big data platform for the National Assembly Library While working with the government, James managed to improve efficiency in performance, energy consumption, analytical processing, and handling of large volumes of data. — Co-Founder Jenny Ryo Over 10 years of experience in the field of IT Wrote an award-winning bachelor’s and master’s theses at Korea University and Dongguk University Developed big data analysis service for the activation of knowledge service of national academic information integration data based on the clouds of National Information Society Agency / National Assembly Library Worked at various sectors of government research projects such as: Korea National IT Industry Promotion Agency (NIPA) Development of Real-Time Big Data Analytics Platform (2014) Software Development Support Project, NIPA). Korea Institute of Energy Technology Evaluation and Planning (KETEP) Development of Server Power Saving System based on software technology. — Blockchain Developer Hokyun Kim Over 18 years in the field of IT He was the first in the world to develop Saw & PinckandPlace. He developed SK Telecom’s WAP Mail Gateway which provides standardized APIs on 7 portals, reeling in 200,000 paid subscribers within a month of service launch. Other enterprise products developed by Hokyun includes signal detection and decoding systems, and signal processing algorithms. — Blockchain Developer Brian Park Over 15 years in the field of IT Worked at SK Telecom where he built a business-dedicated virtual workspace based on the Sandbox virtualization technology Participated in the development of software-based power saving technology applicable to a cloud environment for the Korea Institute of Energy Technology Evaluation and Planning. Developed a system of sharing outside data for Samsung Display. Developed Direct Push technology for mobile outlook connection based on SK Telecom’s Window Mobile. — Chief Strategic Officer Kangho Kim Partner at Byzantine Partners Member of the Society of Blockchain Developers in Korea Has been in financial market for 10 years as a derivatives trader, an analyst and a portfolio manager at reputable global investment firms. At Franklin Templeton, he has performed a role of portfolio manager over 6 years, managing more than US $1.6 billion funds for fixed income, derivatives and alternative assets. Founded a successful social network mobile application as a CEO and applied Blockchain technology to his service. — Chief of Business Development, Asia HJ Moon Research Analyst for top global investment firms such as Goldman Sachs and Barclays. As a co-founder of a tech start-up, HJ launched a social network mobile application and applied blockchain technology to his service. Depth of knowledge and analysis was well regarded amongst institutional clients during his research analyst tenure as he received multiple votes from institutions and hedge funds. — Business Development, USA and Europe Richard Jahnke Silicon Valley-based Venture Capitalist and brings with him more than 16 years of professional investment management, research and deal experience across the broad Technology sector An Investor with Columbus Nova Technology Partners (CNTP), a global, multi-stage, technology investment firm operating out of Silicon Valley and New York City. A Venture Partner with Flatiron Investors, a New York-based early-stage venture capital firm. Was a Sr. Investment Analyst focused on Technology-related investments with The Olayan Group. — Marketing Kathy Roe Graduated University of Portland with a Marketing Degree. Has experiences in various corporations and is currently in charge of Marketing and PR of the new leading blockchain firm EdenChain. — Marketing Jessica Park Graduated Dongguk University with a Master’s degree and started the first career with EdenChain. Has an experience as an editor of press, and had an interest in IT which lead to joining EdenChain. Currently in charge of Marketing and PR. — Financial Advisor (Singapore) Aaron Tay Started his career with the MAS, Singapore’s Central Bank and financial regulatory authority after graduating from Singapore Management University. Joined Tikehau Capital, a listed European asset manager with US$16bn in AUM Based in Singapore, he was responsible for the sourcing and execution of Asian private equity and venture opportunities across multiple sectors. — Technical Advisor Kwangho Lee Graduated from Korea University and built his career in LG group with numerous key projects in group companies. Led the IT consulting and system establishment projects in Data warehouse and Business Intelligence area (LG Electronics, LG Card, Korea Railroad Corporation etc.) In charge of reviewing ideas and prototyping of new business items in “LG Innovator” project Conducted new business development and staff training in ICBM (IoT, Cloud, Big Data, Mobile) division. Mina Jeong One of their advisors, , is the CEO and managing director of M&K PR, one of the leading PR firm in Korea. EdenChain is making a push to building a big community in Korea and has already generated a huge following in their Blockchain community. Mina Jeong The Advisor team is extremely solid, having vast experienced backgrounds ranging from Samsung, Nokia, Oracle, American Airlines, Visa, Deloitte, Ernst & Young, Intel, Ford etc. with influence in Korea and Silicon Valley. Partners and Investors 3 Major Users are already signed up to board their first alpha: — HelloEden will be the first to implement EdenChain in Q2 2018 and is mainly targeted at the Korean Market. EdenChain will provide ICO coin release, marketing, and investment, a total service on the basis of a platform. HelloEden — Cleandeal is a B2B open-market platform, run by YT Corp and will be launched in Q4 2018. The platform provides coin and Blockchain technology that is needed for B2B service for Cleandeal. CleanDeal — MyCreditChain is using Edenchain Platform to provide coins and Blockchain Technology to provide P2P service. This will be launched in early 2019. MyCreditChain Additional Resources: Github — edenchain Reuters.com Article SmartIcoInvestor.com Article Edenchain_Cathy Medium Article Coinstelegram’s Analysis This article was originally featured on our website! You can find it . here For the best in news, reviews, and information for the blockchain and cryptocurrency visit or check us out on: | | | coincrunch.io Youtube Twitter Facebook Reddit

EdenChain ICO Review — A Programmable Economy Platform

Hacking Android phone. How deep the rabbit hole goes.

Written together with Tiffine Wang of Singtel Innov8, Ryan Morgan of DFJ Growth, and Frederick Dopfel of Samsung Ventures. The short version of this post was featured in VentureBeat Many have dreamed of robots taking over monotonous functions of our daily lives, freeing us humans to work on highly-skilled or creative tasks. Today, robots are increasingly making their way into our homes, offices, and public spaces, but this integration is not occurring in the way that most futurists and popular science fiction writers have anticipated. Here’s our top picks for tasks that were surprisingly easy to automate, and tasks that remain surprisingly hard. Tasks Surprisingly Easy to Automate: Art Prevailing wisdom claimed that computer systems would be incapable of creating art or music, because they lack the natural creativity of humans. However, automated systems have been surprisingly successful at generating works of art. Since the early 2000s, the University of London’s The Painting Fool program has been generating artwork, much of which has been featured in prominent galleries alongside human-created art. Google’s DeepDream software uses a recursive convolutional neural network to iteratively adjust images to morph them into objects in its database (usually dogs, buildings, and eyeballs). Other neural networks such as DeepStyle or Prisma use convolutional neural networks to stylize photos after the work of a specific artist. Google is now experimenting with automated curation of art exhibits through machine understanding of the style and topic of artists’ work. Logo generation systems like Withoomph, Tailor Brands, and Logojoy, use partially- or fully-automated systems to generate logos for a business based on keywords. Researchers have also demonstrated systems that can generate music: Stephen Wolfram has made an automated music generator available to the public since 2005, the University of Malaga has created Melomics, a system that autonomously composes and plays music to match your lifestyle and activities, and IBM has partnered with artists to help compose music with Watson by combining massive musical datasets and their lyrics with sentiment analysis. Although these automated art and music systems are arguably derivative on the work of others, they are undeniably interesting and beautiful in their own right. Many scholars may argue that, like artificial art, all human art is derivative, although that is a discussion best left to philosophers. It appears that natural human creativity is not, in fact, necessary to create beauty. Science/Research Historically, scientific research has been conducted by highly educated researchers and lab assistants, and as such was not an obvious place for a blossoming of applications. However, a core basis of science is reproducibility, and many aspects of science and research are extremely repetitive, requiring neither continuous thought nor the high level of education attained by the individuals who perform those tasks today. robotics Companies such as OpenTrons are working to save scientists both time and money by helping them automate pipetting, a precise but monotonous and labor intensive task used in many biological and chemical laboratories. Startups Arcturus and BioRealize enable scientists to remotely run many genetic engineering experiments in parallel, greatly reducing mistakes and lab time. Other startups, such as Emerald Therapeutics and Transcriptic, are hoping to move research to the cloud, using remote robotic systems to perform the experiment itself. In addition to vastly increased lab efficiency, these systems could greatly improve reproducibility, as researchers need only share their experiment’s source code. Not content with automating manual lab work, machines are now automating scientific discovery and understanding. Scientists at Cornell’s AI lab created a program called Eureqa, that uses an evolutionary approach to model creation and is able to create models on data without being given any prior assumptions. The team has since commercialized the technology through a spinout, Nutonian. Researchers at Cambridge and Aberystwyth have created a similar autonomous science algorithm called Adam, which they claim was the first machine to independently discover new scientific knowledge. That same team moved on to the University of Manchester, where they created Eve, which is a robot designed to make the drug discovery process faster and cheaper. As the pace of scientific research increases, scientists may rely more and more on automated systems. Legal The practice of law requires many years of studying and understanding laws, cases, and other legal precedence. Law firms often employ large teams of paralegals and interns to perform the majority of initial research; current AI technologies can augment and eventually automate the bulk of that research, leaving the more difficult aspects of practicing law such as synthesizing the information and advising to trained legal professionals. To date, case law, contract law, and advocacy law have seen the most automation. Startup DoNotPay helps users appeal traffic tickets; the bot started in the UK and has expanded to cover several US cities. Over a quarter million tickets have been successfully challenged, and several cities have banned the bot. ROSS Intelligence augments legal research by using AI to surface relevant legal passages and cases to increase the efficiency and quality of legal research. eBrevia uses AI to extract data from contracts to accelerate diligence, contract analysis, and other related applications. Legalist automates the qualification process for litigation financing and backs cases they identify as having a high success rate. There is a ceiling, imposed by liability concerns, to how much law can be automated; a startup might expose itself if it advised a client on legal matters, so most companies likely can only research and synthesize information. Because much of the legal industry charges by the hour, it will be interesting to see to what degree lawyers will accept automation and other tools to increase the efficiency of their practice. Policing and Security Unlike warfighting robots, which have clearance to hurt or even kill humans, robots that work as a police force or physical premises security, particularly in areas far from any war zone, are expected to more closely follow Asimov’s three laws of robotics: avoiding injury to humans while still keeping an area secure. For this reason, many would expect criminals to ignore robotic security guards, knowing full well that the robots could not harm them. However, the primary function of human physical security teams is to observe and report security incidents; due to the risk of liability to their employers, many human guards are not allowed to interfere, making their work surprisingly easy to automate. Security automation to date has focused on augmenting existing security forces, inexpensively amplifying the eyes and ears of security guards without increasing their numbers. Traditionally, fixed camera systems could perform this task, but constantly monitoring a large campus by camera is difficult. Knightscope and Gamma 2 Robotics build ground-based security robots that act as “force multipliers” to provide deterrence through physical presence; these robots are being deployed at an increasing number of corporate campuses and shopping malls. Another startup, Nightingale Security, is using flying drone robots to help their customers carry out continuous surveillance. In time, robots may replace substantial portions of police and security forces, requiring humans only for resolving violent incidents. security Tasks Shockingly Hard to Automate Cleaning Cleaning is perhaps one of the most obvious and logical applications for robots, yet with the exception of the occasional household Roomba, robotic cleaning is not widespread. Not only is cleaning an extremely repetitive task that requires very little technical skill, but it is also a task that almost everyone has to do in their personal lives and despises. What makes the dearth of cleaning robots more perplexing is that the cleaning robot Roomba was one of the first commercially available robots to everyday consumers in 2002. Almost fifteen years later, there has not been any real innovation in terms of cleaning robots that has seen commercial success. While Roomba, which is made by iRobot is the best known of these robots, competing products are made by a healthy list of competitors, including Dyson and LG. On the commercial side of the market, work on an automated janitor / cleaner has gone back at least as far as the 1980s, when Electrolux’s subsidiary, The Kent Company was working on a solution. Yet somehow, to this day, cleaning on a commercial scale is still done by hand. Several employees of Kent went on to create a company called Intellibot that creates a large scale automated floor cleaner called TASKI. Another large scale floor cleaner, the RS26, comes from a collaboration of Brain Corp and International Cleaning Equipment. With that said, there are some very interesting applications on the horizon outside of floor cleaning robots. The startup Ecoppia is using robots to clean solar panels, and Kurion has a division that makes robots that are used to clean up nuclear facilities, including Fukushima. Clothing and Textiles It is surprising that textile manufacturing, one of the first industries to flourish in the industrial revolution through automation remains an incredibly hard to automate completely. Robots work best when manipulating solid objects. Textiles, however, shear, stretch, and compress, making them difficult for robots to manipulate, even though such manipulation comes naturally to humans. Machines today can dye and cut fabrics into the right shape for assembly and embroider intricate designs in an instant, but nimble human fingers are still required for assembling that fabric, sewing on buttons, pockets, and adding on delicate finishing touches such as lace and pleats. Even today, few companies have made any headway in sewing. Softwear Automation is one such company, which uses high speed cameras to instantaneously map the position and orientation of a textile as it flexes and bends, allowing the robot to make micro-adjustments as it sews pieces of fabric together. Nike is using automation to circumvent the traditional shoe assembly process altogether with its FLYKNIT line of shoes, which uses robotics to custom-knit the top portion of a shoe out of one continuous thread, doing away with the need to assemble the shoe from multiple separate pieces of material. Alternative textile and clothing manufacturing techniques such as 3D printing are been heralded as poised to revolutionize the fashion industry, but the items created by these processes and new materials remain niche outside of the athletic wear market. Automation has struggled with clothing care almost as much as it has with sewing. Although machines can wash and dry clothing (sometimes in the same machine), the process of loading, unloading, and folding remains repetitive and laborious with few reasonable automated alternatives. Startups Laundroid and Foldimate have developed laundry folding robots, although their solutions are large desktop or closet-sized machines with limited capacity. Robotic clothes care systems similar to those imagined in science fiction are likely many years away. Farming Automating the harvesting of crops that are today picked by hand has so far been hard because many of these crops can be damaged easily and computers have had trouble with visual recognition of the fruit or produce they are trying to pick. Despite these challenges, there are many companies working towards fully automating a variety of agricultural tasks. Harvest Automation has created a robot called the HV-100 that can do a series of tasks in nurseries and greenhouses. According to one of their customers at McCorkle Nurseries, “We have many plants in the field that have been growing for as many as 24-months; they’ve been spaced, collected and spaced again and they haven’t been touched by a person since the day they were potted.” In the fruit picking space, companies such as FFRobotics, Abundant Robotics, and Vision Robotics have worked on solutions for fruit picking. While none of their products are widespread yet, their efforts are helping pave the way towards a more automated world. Abundant Robotics, for instance, is avoiding many of the difficulties of robotic grippers and instead using a suction device to pick fruit. There are also a series of startups working on weeding and thinning robots. Among these are Naio Technologies, which has created a robot called Oz for small scale weeding. It is also working on a robot called Dino for larger scale weeding, and a robot named Ted for vineyard weeding. It should also be noted that many of the the traditional agricultural players are also working towards automating the farm. John Deere has offered some form of kit for autonomy for years, the current version being AutoTrac. While not in farming, Deere also offers a robot called the Tango E5, which is essentially a Roomba for mowing a lawn. Other competitors in the autonomous tractor space include AGCO and Kinze. AGCO, through its subsidiary Kendt, is working on a project they call MARS, or Mobile Agricultural Robot Swarms. These swarms of small farming robots will be dragged into fields in logistics units (which also hold seed supply as well as batteries for the robots), and then split up to do their work. Looking ahead Several themes emerge from this overview that enable us to predict what’s next for the robotics industry. Today, robotics have made significant headway into automating repetitive tasks requiring little finesse and tolerant of blunt solutions, like washing laundry and dishes or creating large quantities of textiles. Tasks that require processing large amounts of data and information can also be augmented by automation. On the other hand, tasks that require complicated manipulation of materials are still difficult to automate and need more skilled assistance, as does the deeper decision making and synthesis of information that robotics help us surface. As much as robotics have transformed many major industries, the need for humans to complete the last finishing steps, as diminishing as they may be, makes it abundantly clear that total robotic world domination remains out of reach.

Top Unexpectedly Easy and Surprisingly Difficult Use Cases for Automation

Pro Tip: If you are at CES today and want to connect, I’ll be hanging out at Eureka Park from 11am this morning (Friday) when I’m on a panel about diversity until I leave the premises at 2:30. My dad and I left the yesterday at 8:30am to head over to the Las Vegas Convention Center. When I arrived back at the room at 10pm, I was done / baked / toasted / wiped. Venetian For a number of years (somewhere between 5 and 9, according to the little badge they gave me), my dad and I went to together every year. In 2013, when I got depressed, I decided not to travel for a year. I punted CES that year and for the next few years, so this is the first time in four years we’ve done the drill. CES We had a blast together yesterday. I think my dad was delirious by about 9pm when he left our party and went up to the room. And hour later when I checked in on him before going to sleep, he was flat on his back in bed pretending to be awake but was clearly out for the count. We started at the LVCC. I saw a tweet from Dan Primack saying the North Hall was basically indistinguishable from the Detroit Auto Show. He nailed it — it was basically a takeover by the worldwide auto industry with a few startups sprinkled here and there. It felt like six months ago every CEO of a major auto company sent an email to the CMO that said “We are going to be at CES. We need to show up three things: (1) Our EV prototype, (2) A completely new in-car electronics package that looks better than Tesla’s, and (3) something about autonomous driving. Your budget is $10 million. Don’t fuck it up.” If any of this shit comes together, we are going to have completely different cars by 2020. If you are a VC and you haven’t placed your bets on this sector yet, good luck. And if you have, make sure you are spending lots of time with big auto corp dev / M&A people. If you’ve been following any news about CES, you know that it’s been a huge Alexa takeover. Amazon’s move in the home is brilliant. I love Alexa and I’m amazed at how far ahead Amazon suddenly is. When I think of all the money, time, and energy Microsoft, Apple, Google, Nintendo, Sony, Samsung, and LG have spent in the home, I have one word for them. “Wasted.” As far as I can tell, I’ll be talking to Alexa in the future a lot more than I’ll be saying “Ok Google”, especially when I’m talking to a Samsung TV. Several times an hour I bump into someone that I like. That’s one of the fun parts of CES — you are surrounded by 180,000 of your fellow nerds and you bump into Dick Costolo on the way to dinner. I ended up in a fifteen minute conversation with . I could list another 20 serendipitous connections in random places but you get the idea. Josh Ellman After wandering through the Sphero secret rooms in their booth, I told my dad I thought it was the best booth experience I’ve ever had. Way more awesome than yet another random shag carpet open space with marketing displays. Interviewing James Park at Eureka Park about the Fitbit story was fun. My experience with James, his partner Eric, and Fitbit continues to be one of the most rewarding and enjoyable — at all levels — professional experience I’ve ever had. And then dad and I wandered around the Sands. It completely blew away the LVCC and was so much more interesting to me that I’m just going to spend the day at the Sands, wandering around startups, smaller companies, 3D printers, robots, and all kinds of stuff I like. There are zillions of CE startups in Sands. While 90% of them will fail, it’s pretty awesome to see what entrepreneurs are working on. The only thing more baffling to me than the auto stuff were home robots. I think the 2017 crop of home robots at CES will be like the 2013 crop of 3D TVs. Kind of cool, but not commercially viable. We’ll get there, but it’s not this. And — well — lots of chocolate ice cream. That’s one of the best things about Las Vegas. Chocolate ice cream is less than 0.25 miles away, no matter where you are. Originally published at Feld Thoughts . is how hackers start their afternoons. We’re a part of the family. We are now and happy to opportunities. Hacker Noon @AMI accepting submissions discuss advertising &sponsorship To learn more, , , or simply, read our about page like/message us on Facebook tweet/DM @HackerNoon. If you enjoyed this story, we recommend reading our and . Until next time, don’t take the realities of the world for granted! latest tech stories trending tech stories

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Are we on the brink of debunking Moravec’s Paradox? In the 1980s, AI and robotics researcher Hans Moravec highlighted a counterintuitive aspect of AI: tasks requiring high-level reasoning — like chess or Go — are easier for to master than basic sensory and motor skills — such as walking or identifying your mom’s face — which humans find instinctive. Adding complexity, these “simpler” skills actually demand much more computational power. This insight sheds light on the complexity of replicating human-like perception and dexterity, outcomes of millions of years of evolution, as opposed to logical reasoning, a more recent development. In today’s AI and ML landscape, this paradox underscores the challenges in creating robots and AI systems capable of seamlessly navigating and interacting with the physical world. AI However, last week, Bernt Bornich, CEO and founder of 1x, a humanoid robotics company, , “ .” I suspect that this has something to do with the advancements in foundation models. Originally known for their ability to perform a wide range of tasks based on a single type of data (like text for language models), these models become “multimodal” when integrating and interpreting information across different sensory inputs, closely mirroring human-like understanding. wrote New progress update on the droids dropping in 4 weeks, looks like Moravec’s paradox might be debunked, and we just didn’t have the data Could the embodiment of AI, with all its sensory inputs, plus reasoning-imitation algorithms like LLMs, be the pool of data that disproves Moravec’s paradox? Another intriguing development caught my attention. Huang Jensen, Nvidia’s CEO, to a question from Wired about what current development could change everything. Jensen replied, “ ” responded There are a couple of things. One doesn’t really have a name, but it’s part of the work we’re doing in foundational robotics. If you can generate text and images, can you also generate motion? The answer is probably yes. And if you can generate motion, you can understand the intent and generate a generalized version of articulation. Therefore, humanoid robotics should be right around the corner. Something to observe in the coming weeks! In related news from the robotics universe, Figure AI, a humanoid robotics startup, made headlines by raising approximately in funding. What’s more impressive is the list of backers: Amazon, NVIDIA, Microsoft, OpenAI, Intel, LG, and Samsung. This indicates a strong belief in the potential of humanoid robotics to disrupt various sectors. $675 million Yet, there are skeptical voices. Rodney Brooks, who coined Nouvelle AI*, last week: “ ” posted Tele-op robots presented as autonomous, like the Tesla Optimus humanoid folding a shirt, and 1X humanoid robots, are misrepresentations of what robots are actually doing, which can also be called LIES. Note that the Stanford robot cooking and cleaning videos are also tele-operated. If 2023 was the year of LLMs, are we ready to evolve to an embodied AI and make 2024 the year of robots? 🎁 Bonus: The freshest research papers from the week of Feb 19 — Feb 25 Enhancing Large Language Models (LLMs) : Expands the processing capability of LLMs to handle over 2 million tokens, pushing the boundaries of context window sizes for more comprehensive understanding and generation tasks. LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Read the paper. : Demonstrates the versatility of LLMs in performing numerical regression tasks, suggesting their potential as universal tools for predictive modeling across a variety of domains. . OmniPred: Language Models as Universal Regressors Read the paper : Investigates efficient strategies for distilling large models into smaller, more manageable ones, particularly for reasoning tasks, emphasizing the importance of decomposition over problem-solving. . Divide-or-Conquer? Which Part Should You Distill Your LLM? Read the paper : Proposes a method to enhance the efficiency of self-attention mechanisms in LLMs, crucial for improving performance and reducing resource consumption. . ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition Read the paper : Introduces a framework for personalizing LLM interactions using user embeddings, enhancing the model’s responsiveness to individual user preferences and histories. USER-LLM: Efficient LLM Contextualization with User Embeddings Multimodal and Multi-Agent Systems : Explores integrating video and language for advanced AI understanding and interaction, leveraging a novel RingAttention mechanism for efficient multimodal learning. . World Model on Million-Length Video and Language with RingAttention Read the paper : Develops a multi-agent platform that enhances cooperation and flexibility among agents, addressing the complexity of multi-agent systems and their practical applications. . AgentScope: A Flexible yet Robust Multi-Agent Platform Read the paper : Focuses on the design and analysis of small-scale multimodal models, proving that with strategic optimizations, smaller models can achieve or surpass the performance of larger counterparts. . TinyLLaVA: A Framework of Small-scale Large Multimodal Models Read the paper : Introduces a versatile multimodal language model that processes speech, text, images, and music, demonstrating the power of discrete representations in unifying various data modalities within a single framework. This approach simplifies the integration of new modalities without needing to modify the underlying architecture or training methodologies. AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling read the paper : Presents a novel dataset that enhances multimodal understanding by incorporating touch with vision and language, aiming to advance touch-vision-language alignment and understanding through a tactile encoder and text generation model. A Touch, Vision, and Language Dataset for Multimodal Alignment read the paper Advancements in Specific Domains : Introduces a novel object detection model that leverages programmable gradient information for enhanced accuracy and efficiency in learning. . YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information Read the paper : Demonstrates the application of Transformers in complex planning tasks, offering a method that surpasses traditional search algorithms in efficiency and effectiveness. . : Better Planning with Transformers via Search Dynamics Bootstrapping* Beyond A Read the paper Developer Tools and APIs : Presents a vast dataset designed for training LLMs to interact with APIs, addressing the challenge of creating effective models for API usage and integration. . API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs Read the paper : Develops an open-source system for code generation, execution, and refinement, facilitated by a dataset of multi-turn interactions, aiming to bridge the gap between code generation models and practical coding tasks. . OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement Read the paper Security and Adversarial Research : Explores the susceptibility of LLMs to a wide range of adversarial attacks, highlighting the need for comprehensive security measures to protect against unintended behaviors and data extraction. . Coercing LLMs to do and reveal (almost) anything Read the paper Model Efficiency and Quantization : Discusses a novel framework for quantizing LLM weight matrices to 1-bit to drastically reduce storage and computational demands while maintaining performance, enabling efficient deployment of LLMs on resource-constrained devices. OneBit: Towards Extremely Low-bit Large Language Models read the paper Instruction Tuning and Data Quality : Introduces REALIGN, a method for refining instruction data quality for LLMs to better align with human values, emphasizing the importance of instruction data quality in model alignment and suggesting areas for further exploration in LLM science. Reformatted Alignment read the paper : Proposes a novel method for instruction tuning that generates synthetic instruction data across all disciplines, showcasing a scalable and customizable approach to instruction tuning without relying on specific training data. Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models read the paper : Proposes a pre-instruction-tuning method to enhance LLMs’ knowledge updating capabilities, demonstrating significant improvements in factual knowledge absorption and cross-domain generalization. Instruction-tuned Language Models are Better Knowledge Learners read the paper *Also published . * here

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