Invented for life: we want our products to spark enthusiasm, improve quality of life, and help conserve natural resources.

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Robert Bosch GmbH (/bɒʃ/; German: [bɔʃ] ), commonly known as Bosch (styled BOSCH), is a German multinational engineering and technology company headquartered in Gerlingen, Baden-Württemberg, Germany. The company was founded by Robert Bosch in Stuttgart in 1886.

Bosch (company) - Wikipedia

Moving stories and inspiring interviews. Experience the meaning of &quot;invented for life&quot; by Bosch completely new. Visit our international website.

Invented for life | Bosch Global

Engineered to meet the needs of workers. Bosch Tools take care of the job and you.

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Bosch is America&#x27;s Most Trusted® Kitchen Brand 2024. Every detail of our home appliances is designed for quality and with the consumer in mind.

Bosch Home Appliances | Own the Kitchen #LikeABosch

Bosch Ltd, the Indian arm of German automotive supplier Robert Bosch GmbH, is looking to boost manufacturing in India over the next two to four years, the company&#x27;s financial chief said on Tuesday. The technology supplier plans to increase the percentage of goods produced locally in India to ...

Bosch Limited (BOSCHLTD.NS) Stock Price, News, Quote & History - Yahoo Finance

Bosch | 1,364,636 followers on LinkedIn. The Bosch Group is a leading global supplier of technology and services. It employs roughly 428,000 associates worldwide (as of December 31, 2023). According to preliminary figures, the company generated sales of 91.6 billion euros in 2023.

Bosch | LinkedIn

Supporting our network during a changing industry landscape is essential to Bosch. That&#x27;s why we&#x27;re excited to invite you to join our independent repair shop network. Learn how the Bosch Module Program is quickly becoming an invaluable partnership for thousands of independent repair shops ...

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The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,000 associates worldwide (as of December 31, 2017). The

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For security and communications products, solutions and services, Bosch Security and Safety Systems is the preferred partner. Benefit from our worldwide expertise.

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How Tara Bosch went from recipe testing in a basement kitchen to selling SmartSweets for $360 million

Bosch Company Profile, Stock Price, News, Rankings | Fortune

For more than 100 years, Bosch has been a leader in quality and innovation in North America. Our passion for excellence stems from our founder, Robert Bosch, whose conviction and purpose are indelibly woven into the fabric of the company.

World of Bosch | Boschtools

Safe, efficient, intelligent and powerful solutions for factory automation, mobile applications, plant construction and engineering. Secure advantages now!

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Safe, efficient, intelligent and powerful solutions for factory automation, mobile applications, machinery applications and engineering. Benefit now!

Bosch Rexroth. WE MOVE. YOU WIN. | Bosch Rexroth

A technology company that makes products for connecting digitally using the Internet of Things. It was founded in 1886 and is located in Stuttgart, Germany.

Bosch (company) - Wiki | Golden

The Bosch Group is a leading global supplier of technology and services.

Company | Bosch Global

The Bosch Group is a leading global supplier of technology and services. It employs roughly 429,000 associates worldwide (as of December 31, 2023). The company generated sales of 91.6 billion euros in 2023. Its operations are divided into four business sectors: Mobility, Industrial Technology, ...

Bosch Group worldwide | Bosch in the USA

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In your car, at home, or at work — Bosch technology shapes many areas of life

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Dremel 3D45 based on familiar devices are gaining popularity. This allows you to remove intermediaries and reduce the cost of maintaining devices. And we are pleased to present our collaboration with and Bosch, which led to the creation of an interesting project — a self-sustaining 3D Printing Service. Self-sustaining systems Dremel Project description The essence of the project is to create a remote 3D printing service. In which user uploads 3D model, after what to him showing information about the approximate time and cost of 3D model printing. Then service offers two payment methods: Pay immediately and Pay Per time. The cost of printing is calculated by the time spent and the amount of material. Immediately payment is made according to the approximate time of printing with payment before printing. For the implementation of this method took the team from Bosch Connectory, as they have the experience what was gained by creating a with payment in Bosch Coins. coffee machine When user choose Pay Per Time method, payments will be made through payment channels every n-time of the printer work. This method has advantages over Immediately payment: the user pays upon use of the service and materials, and nothing more; both parties are protected and everyone can at any time get their money on the fact of performed work. This method was implemented by our team. The speed and cheapness of transactions in the Byteball network allow you open a payment channel in seconds and all transactions on it are free and unlimited in number. Paying only for the opening and closing of the channel, which is less than 0.0001 €. After selecting a payment method, the user is displayed QR-code. After scanning it, you will receive payment information in Bosch Coins. In the end, when user will confirm the payment, printer will start printing. During a week of work in the office of Bosch Connectory, we have implemented the main core of this project. This is not the end of our work and we will continue remotely. At this stage, we need to “polish” the implemented and expand the functionality. In the final Our team is very grateful for the opportunity to work on such an interesting project. An interesting project like no one inspires to work productively. Special thanks I would like to Express to the team from Bosch Connectory: Gress Antonius, Tran Rui Lun and Roth Hannes. Contact us Follow our for last news, and join our community on Send us your questions and suggestions on — Twitter Telegram . team@biot.ws . Our website — https://biot.ws/

Bosch-BIoT: Self-sustaining 3D Printing service

, BOSCH Venture Capital . Although “a bigger unveil (one of the IOTA partnerships)” at the CES , it was still interesting to watch BOSCH’s tweets from their press conference: This article tries to show why IOTA’s technology perfectly fits in the company’s plans. As we have seen already has bought a “significant amount of IOTA tokens” had been postponed Note: This has not been confirmed by the IOTA Foundation, it’s just my own thoughts so please consider it as such. The overall situation Bosch is one of the biggest and most advanced companies within the realm of vehicle parts suppliers and IoT: Bosch ranked first in eight of nine key reputation attributes, making it the most admired automotive supplier worldwide. ( ) link As the European Patent Organisation confirmed for 2016 (more recent numbers are not available at the time of writing), BOSCH has the most granted patents of all European patentees: Bosch’s own focus these days is on the three S: https://twitter.com/boschusa/status/950404229897883648 As one of the executives at the CES in Las Vegas: said Of our nearly 400,000 associates worldwide, more than 20,000 are software engineers, nearly 20% of whom are working exclusively in IoT. Interestingly enough, this seems a perfect match for IOTA’s capabilities (that’s why BOSCH invested in it, of course). Yet the question remains what BOSCH could do with? Smart cities Smart cities will be huge topic in the near future, BOSCH’s tweet says it all: alone has announced a plan to invest $500m over the next seven years smart city infrastructure. In Bay area a beacon project has been launched which is supposed simply by using 5000 smart street lights. Las Vegas to save over $8m across 15 years Bosch sensors are the eyes and ears of the connected city. In this case, its brain is our software.(Mike Mansuetti, Preseident of Bosch North America) Furthermore it was stated that by 2020 all electronic products . As you can imagine, this will result in a incredible amount of data that will be set free. IOTA’s scaling capabilities and speed enable it to be the base-layer of all these transactions of information. In the following, I shall give an overview of some usecases which could technically be done using IOTA infrastructure. will be web-enabled Climate monitoring The idea here is to analyze the air quality, humidity and pollen concentration in order to improve the overall quality by putting measures into place if necessary. The product to gather the information is already working and : The Climo. has received the CES 2018 Innovation Award Several of these Climo boxes were deployed in Las Vegas right before the CES in order to show the capabilities to the conference attendees. Of course, the collected data can be “faked”, for example by positioning the boxes in a very “green/healthy” part of the city. However, the idea is to collect data from so many points that the overall number of information sources will prevent biased results. Moreover, you could also only focus on a specific area of the city in order to compare the data to other parts of the city. IOTA’s network called “tangle” would be the link between all the sensors. IOTA’s tangle would be the layer on which all of these information pieces are exchanged. To make this clearer: Imagine hundreds of Climos in Las Vegas sending their data every second to the = real time information. A sophisticated blockchain might be able to handle this, agreed. And such a blockchain might come up with a marketplace, agreed. Right, that’s hundreds of Climos +hundreds of thousands homes sending their data every second over a public ledger! And this is why IOTA is needed because it offers the , the and it has ! IOTA market place But what if hundreds of thousands of residents buy the technology for their own roof because they want to make good money by selling the data to air-quality-improving-companies’ R&D branches? speed scalabilty no transaction fees Collecting data about air quality can be done easily by companies, municpalities as well as by individuals. The incentive is to sell that data on a marketplace which in turn can be used by corporates to build products which will improve air quality again. It’s a win-win situation. Community-based parking Have you ever been in a city trying desperately to find a parking spot? BOSCH thought about this problem and their solution is simply brilliant: Cars driving past a parking space recognize spaces via sensors, and connection hardware and drivers receive the parking space information in real-time. They are then quickly and easily navigated towards an empty space. ( ) link Watch this short video to get the idea: Again, this is a lot of data: Every car sensors possible parking spots, transmits the data in real-time and the exact same data needs to be transfered to all the cars looking for a parking spot. Of course, this could be perfectly combined with self-driving vehicles: You just hop off at the store where you want to go, the car finds itself a spot to wait (or is used for other purposes in the meantime) and comes back to you once you are done. This sounds rather futuristic and utopian, but BOSCH . 20 US cities (such as Miami, LA and Boston) will offer this amazing technology ! has already equipped 1.5m cars with their IoT software in 2018 Again, this is so much data be produced for one city alone — but if it is successful, the whole world will want this technology and that means an incredible amount of data which needs to be processed. Since IOTA was tailored exactly for IoT cases like that, all the data could be transfered in real-time without any fees! One could also imagine a usecase like this: Before starting your trip in the car you reserve a free parking spot for a certain amount and can be sure to get this one (e.g. right in front of your destination). The possibilities are endless! Other usecases I think you got the gist so far: It’s a lot of information which can be used (if processed in real-time) to help individuals have a better/smarter/… life. The following are just some ideas how the technology can help us and each of these usecases would perfectly be doable using IOTA’s tangle as a base-layer: XDK You might ask: Fine, nice tech — but BOSCH using IOTA would need a working product by now? You are right, and this product really exits: the XDK. It is a small developer kit which collects various data (for example from machines) for later analysis: Dominik Schiener, Co-founder of IOTA, introduced how IOTA’s technology works on this kit: So BOSCH is apparently really interested in IOTA’s capabilities. These ideas are being made real as you are reading this. Of course, BOSCH is not the only company doing this. And since there are many others trying to make money establishing this kind of technology in countless industries: Yet neither consumers nor the companies want a different solution for each industry (imagine different standards among TVs and each producer would have to follow different sets of rules for different standards; we had this problem once between BluRay and HD-DVD; there could only be one…). So the question remains: What will be the standard protocol in IoT/Industry 4.0 to transfer and process all this data? In my opinion, there is only one candidate which offers everything that is needed: speed for real-time transactions scalability to handle millions and billions of transactions no costs in order to make it as attractive as possible the necessary connections with in the industries (partnerships, cooperations etc.) And guess what? The only existing tech out there offering each of these is IOTA even if it only at a rather early stage of its development. The time of thousands of cryptocurrencies is ending(95% of which are just copycats of Bitcoin without real usecases) — 2018 will be the year of real-world adoption and nobody is better prepared for this than IOTA (for more information in this regard read (more than 60,000 views within a week!). my previous articles If you want to, I would be happy about a little donation ;-): IOTA: KGOZYHJRYVDBSXTUSECYJVEBLDVYFKCAKAWTPTCKXMBNOWNVRDRHRVSJNIVOQUFRODFPXWYSGROKRWKRZWJZTJOHSX

IOTA: possible BOSCH usecases

Welcome to another edition of Hack marketing diaries by team HackerNoon! This time, we wanna share our learnings and observations on surveillance capitalism and why we didn't make it our business model. There’s a reason we hate those invasive Ads on Facebook. Who would like their personal and critical information to be used to see those creepily relevant Ads? According to - Meta was also involved in a major about its access to the medical data of patients. The company’s pixel tracking tool was collecting their sensitive information from hospitals including the details about their health, appointments, and medical prescriptions. Pure evil. What's even more annoying? Abrupt Ads stoping you from consuming the content. Classic example - Ads on YouTube. the Markup “Major tax filing services such as H&R Block, TaxAct, and TaxSlayer have been quietly transmitting sensitive financial information to Facebook when Americans file their taxes online.” controversy last year Here’s how HackerNoon saw these issues when we used to become not only a publishing company but also a software company: equity crowdfunding “We don't want to advertise the shoes you've considered buying around the web, we do want to surface sponsors that are relevant to the subject matters being read, such as blockchain sponsors on blockchain content. We believe sponsorship is not evil, if done right. What's evil is surveillance. Our sponsors will be by subject matter. Our promotions are like billboards - relevant to the content and not the individual reader. Our sponsorship placements are minimalistic & non-intrusive. No sidebars, no popups, no video ads. We care about reading quality and will never take that experience away from the reader.” Presenting you HackerNoon’s Targeted Ads by content relevancy - where you target the audience interested in content relevant to your company, without invading their privacy or shoving annoying pop-ups down their throats. Our targeted marketing options allow you to avoid the noise and reach the right audience. It’s a win-win for all. Talking about wins - here's an easter egg for your company - use the code 'HackerFriend' during the meeting and avail 10% off on Targeted Ads! Book a call with us to see the demo Here’s how our targeted Ads by content relevancy work: HackerNoon has curated to date 50,000+ technology tags These tags are grouped into the relevant like , , , , , , and more! parent categories AI Web3 Programming Startups Cybersecurity Finance Every story organically gets at least eight relevant tech tags and a parent category Sponsors buy with all the tags and stories. multimodal placements on relevant categories These Ad placements include Banners, Logos, Newsletter ADs, and Audio ADs - what we call truly AIO (Activities, Interests, and Opinions) Optimized for: Brand Recall and Clickability (Get 3x clicks for the same impressions compared to elsewhere) Get quality leads at unbeatable prices, with CPM ~ $7 and CPC ~ $5. Find pricing and details in the attached deck. to learn how AWS, Bosch, Brave, DataStax, Bright Data, Twilio, SonarSource, Algolia, Algorand, Postman, IONOS, and thousands of other tech companies partner with HackerNoon to target their audiences. Book a meeting with us Until next time!

How to Advertise to Your Target Audience without Creeping Them Out

কীভাবে আপনার টার্গেট শ্রোতাদের কাছে বিজ্ঞাপন দেওয়া যায় তাদের আউট না করে

So werben Sie bei Ihrer Zielgruppe, ohne sie zu verschrecken

Cómo anunciarse ante su público objetivo sin asustarlos

Comment faire de la publicité auprès de votre public cible sans l'effrayer

अपने लक्षित दर्शकों को बिना परेशान किए उनके लिए विज्ञापन कैसे करें

ターゲット層を怖がらせずに広告を出す方法

타겟 고객을 소외시키지 않고 광고하는 방법

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Как рекламировать свою целевую аудиторию, не отпугивая ее

Hedef Kitlenizi Korkutmadan Nasıl Reklam Verebilirsiniz?

Cách quảng cáo tới đối tượng mục tiêu của bạn mà không khiến họ sợ hãi

如何向目标受众投放广告而不让他们感到害怕

and are two of the most transformative forces shaping the modern world. AI has the potential to revolutionize industries by automating processes, enhancing decision-making, and unlocking new insights from vast amounts of data. Artificial Intelligence (AI) blockchain technology Blockchain, on the other hand, offers a decentralized and secure framework for digital transactions, enabling trust and transparency in an increasingly interconnected world. The convergence of AI and blockchain has given rise to a new breed of cryptocurrencies known as AI crypto coins. These digital assets leverage the power of AI to enhance various aspects of the blockchain ecosystem, from improving the efficiency of decentralized networks to enabling more intelligent decision-making in financial markets. In this article, we will explore the concept of AI crypto coins, their underlying mechanisms, and their potential applications. I will try to explain this topic based on my experience of working  with crypto and AI projects. In this article, we will explore the benefits and risks associated with AI crypto coins, as well as how to buy them and what to consider before investing. This article should not be regarded as financial advice. Always remember to DYOR! Understanding AI Crypto Coins Unlike traditional cryptocurrencies, AI crypto coins use machine learning algorithms and natural language processing to analyze market patterns, make predictions, and execute automated trades. This allows them to adapt to changing market conditions in real-time, providing investors with a more agile and responsive investment option. , which are automated computer programs, are a key component of AI cryptocurrencies. They can be used for automated trading strategies, amplifying trading profits by applying these strategies to multiple cryptocurrencies on one or diverse platforms. Some of the most known AI trading bots include Defiquant, Pionex, GunBot, Kryll, Zignaly, Dash 2 Trade, ArbitrageScanner, and Cryptohopper. AI trading bots These bots collect big data on crypto information in real-time and analyze it to derive useful and actionable metrics, with the target of future crypto prices. They can pull information from various social sources, crypto markets, news sites, and other sources to provide valuable insights for investors. AI trading bots are beneficial for modern investors, as they can be configured to run automatically, which is particularly useful for copy trading and building a bot from scratch. They can also be used for social trading, paper trading, backtesting, and strategy design. Benefits of AI Tokens Improved Decision-Making One of the key benefits of AI crypto coins is their ability to improve decision-making. By analyzing large volumes of data, AI algorithms can spot patterns and trends that human analysts might miss, helping traders make more informed decisions. This can lead to better risk management and improved returns on investment. For example, AI algorithms can analyze market trends, social media sentiment, and news articles to predict price movements. This can help traders make more accurate predictions and reduce the risk of losses. Enhanced Network Security AI crypto coins can also enhance network security. For example, some AI cryptocurrencies use facial recognition technology to verify transactions and prevent fraud. This can provide an additional layer of security, making it more difficult for hackers to gain access to sensitive information. AI algorithms can also detect and prevent cyber attacks in real-time, providing an added level of protection for investors. Automation of Functions Another advantage of AI crypto coins is their ability to automate numerous functions in the cryptocurrency market. By using smart contracts, AI algorithms can execute trades automatically, speeding up transactions and saving time. This can also reduce the risk of human error, which can be a significant factor in the fast-paced world of cryptocurrency trading.For example, AI algorithms can automatically execute trades based on pre-defined criteria, such as price movements or market conditions. This can help traders take advantage of opportunities more quickly and efficiently. Notable AI Crypto Tokens 1. SingularityNET (AGI) SingularityNET is a decentralized AI marketplace that enables users to access a wide range of AI services through the use of AGI tokens. By leveraging a decentralized network of AI algorithms, SingularityNET aims to democratize access to AI technology and foster innovation within the crypto AI landscape. As of March 2023, SingularityNET has over 50 AI services available on its platform and has partnered with major organizations such as IBM and the United Nations. 2. Fetch.AI (FET) Fetch.AI is an AI-powered decentralized network that enables the creation of intelligent autonomous agents. These agents can perform various tasks, such as optimizing supply chain logistics, facilitating peer-to-peer trading, and providing personalized recommendations. FET tokens are used to access the Fetch.AI network and incentivize participation. Fetch.AI has raised over $15 million in funding and has partnerships with organizations such as Bosch and Datarella. 3. Ocean Protocol (OCEAN) Ocean Protocol is a decentralized data exchange platform that enables users to securely share and monetize data through the use of OCEAN tokens. By leveraging AI capabilities, Ocean Protocol aims to create a more equitable and transparent data economy, ultimately benefiting data providers, consumers, and developers alike. Ocean Protocol has raised over $20 million in funding and has partnerships with organizations such as Aviva and Roche. 4. Numerai (NMR) Numerai is a decentralized hedge fund that leverages AI algorithms to make investment decisions. Contributors to the Numerai platform can submit their AI models, which are then used to inform the fund's trading strategies. In exchange for their contributions, users are rewarded with NMR tokens. Numerai has over 40,000 data scientists contributing to its platform and has over $1 billion in assets under management. 5. Cortex (CTXC) Cortex is a decentralized AI platform that enables the creation of intelligent smart contracts. By leveraging AI capabilities, Cortex aims to improve the performance, scalability, and security of smart contracts, ultimately leading to the development of more sophisticated and intelligent dApps. CTXC tokens are used to access the Cortex network and incentivize participation. Cortex has raised over $10 million in funding and has partnerships with organizations such as Binance and Bitmain. Risks Associated with AI Crypto Coins However, there are also risks associated with AI cryptocurrencies. The lack of regulatory oversight in the market can create an environment where scams and fraud are more likely to occur. AI cryptocurrencies are also subject to high levels of volatility, which can result in significant losses for investors. Technical issues, such as errors in the smart contract code, can also lead to loss of funds or security breaches. Ethical concerns, such as the potential for bias in decision-making or the impact on employment in the financial industry, should also be considered. How to Buy AI Crypto Coins To buy AI crypto coins, investors need to find a cryptocurrency exchange that supports the specific AI crypto coin they want to purchase. After creating an account and funding it with a payment method such as bank transfer, credit card, or cryptocurrency transfer, investors can use the exchange to buy the AI crypto coin of their choice. Once purchased, it is recommended to transfer the coin to a secure cryptocurrency wallet to ensure the safety of the investment. Ultimately, AI crypto coins have the potential to become a valuable addition to any investment portfolio. One key area where AI crypto tokens could make a significant impact is in the realm of decentralized finance (DeFi). It could lead to the creation of new investment opportunities and the democratization of financial services, making them more accessible to a broader audience. If you’re interested in the most innovative AI projects and research, you’re welcome to subscribe to my newsletter ‘ ’. It’s free! AI Hunters P.S. Check out some of my previous articles at HackerNoon: Google Introduces Gemma: Revolutionary Access to Pre-Trained AI Models Sora's AI Innovation Set to Disrupt Video Content Creation Breaking Down the Next Big Thing in NFTs: ERC-404 Spotlight Gemini 1.5 Unleashes Unprecedented Context for AI Applications The AI Revolution in Journalism: A New Era of Enhanced Reporting DeFi Community Building: A Step-by-Step Guide for Crypto Startups

AI Crypto Coins: When the Power of AI Meets the Blockchain

https://hackernoon.com/startups/country/asia-bengaluru-ka-india Tell us how your startup is changing the world. Zeliot isn't just another tech product; we're transforming the connected mobility landscape. Our mission is to empower partners with world-class, secure mobility solutions delivered through a highly scalable, deep-tech platform deployable on their cloud infrastructure. We envision a future where connected mobility is simple, secure, and accessible for everyone, with data control firmly in the hands of its rightful owners. Our flagship products, Condense and Condense Edge, are making this vision a reality. is a revolutionary, verticalized mobility cloud platform that deploys in just a few clicks on clients' existing infrastructure. It acts as a central hub, ingesting all mobility data from various sources and simplifying data management with a low-code interface. Condense empowers users to build customized mobility solutions based on their specific needs, unlocking the power of real-time data and actionable insights. With Condense, innovation knows no bounds. Condense complements this power with modular, low-memory footprint embedded firmware designed for vehicles. It seamlessly collects and transfers rich datasets from vehicles, enabling over-the-air (OTA) updates for vehicle ECUs. This valuable data fuels crucial insights, optimizes vehicle performance, enhances safety with daily safeguards, and drives cost savings and uptime. Condense Edge Our impact is real and growing. Industry leaders like Royal Enfield, Ashok Leyland, Volvo Trucks, TVS Motors, Bosch, and Here Maps, among many others, have already chosen Zeliot's platform to power their solutions. In 2022, Bosch further validated our vision by acquiring a 14% stake in the company. This is just the beginning – we're excited to continue empowering the connected mobility future, one secure, scalable, and accessible solution at a time. What sets you apart from the competition? The current connected mobility landscape faces two major issues: data security and lack of data ownership. Data often resides in solution provider clouds, creating concerns about confidentiality and potential misuse. Clients encounter various technical and commercial challenges, including: Complex cloud infrastructure: Building and maintaining cloud infrastructure is costly and resource-intensive. Disparate tools and technologies: Integrating multiple tools leads to disjointed workflows and data silos. Dedicated DevOps team: Running these systems requires specialized expertise, adding operational overhead. Huge data volumes: Managing massive data streams from diverse sources can be overwhelming. Lack of ROI: Demonstrating the return on investment for connected mobility solutions can be difficult. Data security and privacy: Data breaches and unauthorized access are major concerns. Limited customization: Generic solutions often fall short of specific needs. High initial investment: Costly upfront investments hinder adoption. Zeliot's Winning Propositions: Data Ownership & Security: Zeliot stands out by deploying our platform on the client's cloud infrastructure. This ensures complete data ownership and control. Neither Zeliot nor any third party can access client data, addressing security concerns and fostering trust. Scalability & Ease of Use: Condense is a mobility vertical cloud platform that scales seamlessly with your needs. It manages all required services for real-time data ingestion, eliminating the need for dedicated DevOps teams. With pre-built connectors and a low-code interface, Condense simplifies data management and analytics for all users. Edge Computing & Secure Updates: Condense Edge enables secure data transfer and device uptime assurance. Remote troubleshooting and updates are facilitated through bidirectional communication, removing the need for manual intervention. Our OTA campaign management ensures smooth and secure updates for your vehicles. Zeliot empowers clients with complete data ownership, secure solutions, and flexible tools to navigate the connected mobility landscape effectively. We go beyond standard offerings, addressing key client challenges and delivering tangible business value. What do you love about your team, and why are you the ones to solve this problem? At , the team isn't just a collection of individuals; it's a powerhouse driven by passion and expertise. What I love most is the infectious enthusiasm everyone brings to every challenge. We share a common vision of transforming connected mobility into a secure, accessible space, fueling our relentless pursuit of innovation. Zeliot Here's what makes us uniquely qualified to tackle the data ownership and security issues in connected mobility: Diverse & Experiential: Our team boasts backgrounds in embedded systems, cloud computing, data security, and automotive engineering. This synergy of knowledge allows us to approach problems from multiple angles and create holistic solutions. Proven Track Record: Many of our team members have extensive experience leading projects for major OEMs and enterprises. This translates into a deep understanding of their specific needs and pain points, enabling us to develop solutions that resonate deeply. Passionate Problem Solvers: We're not just skilled; we're obsessed with finding solutions. We thrive on tackling complex challenges and don't shy away from venturing into unexplored territory. This relentless curiosity fuels our innovation engine. Client-Centric Approach: Every decision we make starts with the client's needs in mind. We actively engage with them, understand their unique challenges, and tailor our solutions accordingly. This collaborative approach fosters trust and long-term partnerships. We possess the talent, experience, and unwavering passion to navigate the complexities of the connected mobility landscape. Our team is not just solving a problem; we're building a revolution. At the moment, how do you measure success? What are your core metrics? Success is gauged through the widespread adoption and endorsement of Zeliot's Platform by such as Royal Enfield, Ashok Leyland, Volvo, Eicher, Tata Motors, TVS Motors, Ampere, Bosch, Here Maps, and numerous others. This robust endorsement signifies the resonance of our solutions within the market and underscores their efficacy in addressing contemporary mobility challenges. industry leaders Furthermore, the strategic alliance with Bosch, evidenced by their acquisition of a 14% stake in Zeliot in 2022, serves as a pivotal milestone in our journey. It not only validates the viability of our vision but also strengthens our position as a frontrunner in the mobility solutions space. In essence, the metric of success is manifested through the growing roster of industry partners and stakeholders who entrust Zeliot. What goals are you looking forward to accomplishing in 2024? In 2024, Zeliot is driven by ambitious goals to further revolutionize the connected mobility landscape. Here are our key highlights: Breakthrough Edge-Based Analytics: Launch a revolutionary edge-based fuel analytics solution. This eliminates the need for external sensors, drastically reducing costs and streamlining data collection. Capture fuel events with 100% accuracy and real-time analysis. This enables precise fuel tracking and optimization, saving valuable resources and reducing emissions. Deliver high-frequency event alerts. By proactively identifying anomalies, operators can minimize downtime and prevent costly repairs. Secure Data Marketplace for Monetization: Onboard more OEMs and create a secure data marketplace. This empowers them to monetize their valuable data by sharing it with authorized stakeholders under agreed-upon terms. Unlock new revenue streams for OEMs and Enterprises. This fosters collaborations and expands the connected mobility ecosystem. Prioritize data security and privacy. Our marketplace leverages advanced security measures to ensure trusted data exchange and transparency. Which trend(s) are you most excited about in 2024? Share your reasons. The above-mentioned goals resonate with the immense potential of the connected mobility market. Industry analysts expect significant growth, with estimates suggesting the market will reach USD 20.5 billion by 2026 and USD 34.5 billion by 2030. This explosive growth signifies the increasing demand for innovative solutions that address data ownership, security, and cost-effectiveness. Zeliot is uniquely positioned to capitalize on these opportunities. Our cutting-edge technology, passionate team, and client-centric approach enable us to deliver solutions that exceed expectations. We believe that in 2024, Zeliot will not only achieve these goals but also establish itself as a leading force in shaping the future of secure and sustainable connected mobility. 2023 had been another crazy year, especially in tech, with layoffs and the Generative AI takeover! Which trend are you most concerned about? Be as brief or as detailed as you like. One concerning trend in the tech industry is the increasing frequency of data breaches in the mobility sector. As transportation becomes more digitized and reliant on interconnected systems, the potential for cyberattacks and data breaches rises significantly. These breaches not only compromise user privacy but also endanger public safety and trust in mobility services. Furthermore, the trend of valuation bubbles poses a significant risk to the stability of the tech industry. With skyrocketing valuations fueled by speculation rather than fundamental value, there's a real danger of a market correction that could lead to widespread layoffs, investor losses, and economic instability. Share your biggest success so far and/or your biggest failure so far. Zeliot's journey has been anything but linear; it's a captivating narrative of pivoting and seizing opportunities. Our greatest success story doesn't derive from a single product launch or milestone; rather, it emerges from a strategic reevaluation of vision and approach. Initially focused on fleet management solutions (FMS) as a Software as a Service (SaaS) offering, we provided customers with real-time asset visibility. However, the landscape of the Indian automotive industry soon underwent a significant shift: manufacturers began integrating telematics directly into vehicles. While some may have viewed this development as a setback, we saw it as a transformative moment. Rather than persisting in the crowded FMS market, we made the strategic decision to pivot towards a dedicated platform for connected mobility. This platform wasn't merely about providing generic solutions; it was designed to empower clients to develop custom, industry-specific applications. This bold maneuver, characterized by strategic foresight and adaptability, ultimately defined our success. This pivot opened doors we hadn't previously imagined. Major Original Equipment Manufacturers (OEMs) and large enterprises seeking specialized solutions turned to Zeliot. Our platform's flexibility and security resonated with them, enabling the creation of tailored applications that addressed their unique needs and unlocked distinct value propositions. In my view, Zeliot's greatest achievement isn't simply becoming the preferred platform; it's about evolving into a trusted partner. By empowering our clients to innovate and flourish in the realm of connected mobility, we're not only making headlines in the industry but also leaving an indelible mark on the very essence of connected mobility itself. We would love your feedback on HackerNoon as a tech publication! How has your experience been with us? As a fellow entrepreneur and tech enthusiast, I've enjoyed reading and engaging with HackerNoon. I appreciate the platform's commitment to diverse voices, thought-provoking content, and fostering a strong community. However, I believe there's room for improvement in a few key areas: Visibility and Reach: While HackerNoon offers valuable content, reaching a wider audience would benefit both readers and contributors. Increased marketing efforts, leveraging cross-platform promotion, and strategic partnerships could significantly impact readership and engagement. Overall, I've had a positive experience with HackerNoon, and I look forward to seeing how the publication continues to evolve and grow in the future. Any words of wisdom you’d like to share with us? In navigating the complexities of the tech industry and entrepreneurship, I'd emphasize the importance of staying true to your vision while remaining adaptable to change. Embrace challenges as opportunities for growth, and prioritize integrity, innovation, and customer-centricity in all your endeavors. Remember, success is not just about achieving milestones; it's about making a meaningful impact and leaving a positive legacy in the world. Keep learning, stay resilient, and never underestimate the power of collaboration and community in driving progress and innovation. Wishing you all the best on your journey of transformation and growth!

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Aspects of Thermal QCD Phenomenology at Intermediate Gauge/'t Hooft Coupling: Bibliography

Older and Younger Adults Are Influenced Differently by Dark Pattern Designs: Conclusion & References

Authors: (1) Reza Ghaiumy Anaraky, New York University; (2) Byron Lowens; (3) Yao Li; (4) Kaileigh A. Byrne; (5) Marten Risius; (6) Xinru Page; (7) Pamela Wisniewski; (8) Masoumeh Soleimani; (9) Morteza Soltani; (10) Bart Knijnenburg. Table of Links Abstract & Introduction Background Research Framework Methods Results Discussion Limitations and Future Work Conclusion & References Appendix 2 Background In this section we first summarize the literature on older and younger adults’ privacy decisions. We then discuss dark pattern designs and common strategies to maximize users’ disclosure (namely framing, defaults, and justification messages). 2.1 Privacy Decisions of Older Adults vs. Younger Adults A large body of literature investigating age-related differences in digital privacy identifies older adults as individuals who experience more difficulties than younger adults in managing their digital privacy (e.g., [11, 14, 42, 64, 90]. Some argue that older adults are less likely to protect themselves against privacy-related risks [86, 98]. Lack of awareness of the privacy risks has been cited as a critical factor impacting older adults’ privacy decisions [46]. For example, age-related differences have been found in research investigating content sharing and sociability and how these components are associated with the need for privacy among Facebook users [14]. Researchers discovered that younger adults are more competent in their Facebook usage and are more informed about and able to make changes to their privacy settings. In contrast, older adults seemed to have difficulties understanding the privacy settings and be less aware of social privacy issues. Psychological literature corroborates how older and younger adults exhibit fundamental behavioral distinctions in their decision-making patterns, encompassing differences in risk preference and reliance on goal-driven approaches [96]. For example, Anaraky et. al. [3] showed that older and younger adults have different decision processes. While younger adults mostly rely on affect heuristics [44], older adults are more likely to be calculus-driven decision makers. However, to the best of our knowledge, no one has studied the differences between older and younger adults’ decisions in the scope of dark pattern designs that nudge users towards disclosure. In this study, we investigate how dark pattern design interventions influence older adults’ decisions differently than younger adults. Next, we turn to discussing the dark pattern design literature. 2.2 Dark Pattern Designs Dark patterns in design refer to instances where designers exploit human desires and behaviors and implement functionality that will mislead them and have negative implications [28]. The term was first proposed by UX designer Harry Brignull in 2010, who defined dark patterns as: “a user interface that has been carefully crafted to trick users into doing things they might not otherwise do. “Brignull also notes that “Dark patterns are not mistakes. They are carefully crafted with a solid understanding of human psychology, and they do not have the user’s interests in mind.” [28]. Bösch et. al developed a categorization of privacy dark patterns that designers implement within their systems to exploit the users’ privacy. These strategies include: maximize, publish, centralize, preserve, obscure, deny, violate, and fake [12]. In the context of this work, we focus on the maximize dark strategy by which designers aim to collect more data than is actually needed for the task [12]. Framing, defaults, and justification messages are means by which these designers maximize the amount of personal data collected [12, 33, 54]. We study these dark patterns in the context of a Facebook application—a context in which dark patterns are not uncommon. For example, in the infamous Cambridge Analytica case, the app designers used maximize dark pattern designs to maximize disclosure. The app used defaults to influence users’ decisions to share personal information with rather unfavorable consequences. In our study, we test the effect of dark patterns in the context of a phototagging application on the Facebook platform where users can choose to tag themselves or their friends in their photos. The app applied maximize dark pattern designs to influence the user’s decision in the form of choice framing, default settings, and justification messages. We explain each of these maximize dark patterns here. 2.2.1 Framing and Defaults Framing and defaults are quintessential examples of the “maximize” dark pattern, in that they tend to increase compliance to disclosure requests made by the information system [4]. The framing effect describes the phenomenon that people are more likely to give consent to a request if it is presented with a positive framing (“Do ...”) rather than a negative framing (“Do not ...”). Johnson et al. [30] and Lai and hui [43] independently studied the framing effect in the context of information privacy. At the end of an online health survey, Johnson et al. [30] asked their participants if they wanted to receive more health surveys. The wording of the choice option for participants in the positive framing condition was “Notify me about more health surveys”, whereas those in a negative framing condition saw the choice wording as “Do not notify me about more health surveys”. Lai and Hui [43] studied framing in a newsletter sign-up scenario. Similarly, the wording for their positive framing condition was “Please send me Vortrex Newsletters and information” whereas the wording for the negative framing condition was “Please do not send me Vortrex Newsletters and information”. Both Johnson and Lai and Hui found that participants are more likely to comply with the request if the request is presented with a positive framing rather than a negative framing. Similar to framing, defaults are a form of dark pattern design strategy that can influence individuals’ decisions [33, 69]. The default effect suggests that individuals are more likely to accept an option if that option is pre-selected by default [70]. This is evident in both Johnson et al. [30]’s health survey study and Lai and Hui [43]’s newsletter sign-up study, where sign-up ratio is highest if users are signed up by default (an opt-out default). Overall, both framing and defaults are referred to as tools of choice architecture [33] which can induce compliance to data disclosure requests made by the information system [4]. 2.2.2 Justification Messages To help users make a decision, system designers sometimes show them justification messages [1] providing additional information about the choice. These messages can inform users about the popularity of the product or service among other users [22] or its pros and cons [12, 24]. For example, Weinberger et al. [93] show that an unfavorable product rating adversely influences individuals’ intention to purchase the product. Overall, these studies suggest that providing justifications supporting a request would motivate the audiences to comply to the request. [1] The term “framing” is used in the literature to denote several conceptually distinct interventions, and some studies apply the term “framing” to the type of justifications we use in this study [10]. In order to avoid confusion, we use the term “framing” for negated choice statements (i.e., “Do” vs. “Do not”; [30, 43]), and use the term “justification” to refer to the additional text accompanying the choice statement. This paper is under CC BY-NC-SA 4.0 DEED license. available on arxiv

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BOSCH

bosch.com

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Since 1886

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BOSCH

EVERGREEN INDEX #594

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