Bosch has partnered with Cambridge-based AI blockchain startup Fetch.ai with the aim of transforming existing digital ecosystems using distributed ledger technologies (DLTs). The global engineering giant will test key features of Fetch.ai’s testnet until the end of this month and will deploy a node on the network. The strategic engineering project between Fetch.ai and Bosch…
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For those who have read my first piece which pertained to the Quant Network (QNT), I will openly apologize because I’m not really providing any new information within this piece. I am refining that article here, as the beginning of my collection, because I have not only researched the Quant Network extensively (just as much as Ripple’s XRP), but I also believe that it will be one of the most powerful and disruptive tech companies in the world within the next few years. It’s still early regarding the discovery of this upcoming technology.
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AI blockchain startup Fetch.ai is partnering with industry veteran FESTO to launch a decentralised marketplace for manufacturing. Fetch.ai is based in Cambridge, UK and has built an impressive team of talent with experience from DeepMind, Siemens, Sony, and a number of esteemed academic institutions. The company is working on decentralised autonomous “agents” which perform real-world…
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It is estimated that an average farm generates 500,000 data points per day, and this is expected to grow to four million data points by 2036, says Catherine Lian, managing director of IBM Malaysia. These data points cover things such as fertiliser and pesticide application rates, weather, soil nutrient content and harvesting dates.
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The highly secured Blockchain and the analytical predictive power of AI are two powerful technologies that are synonymous with modern digitization. Can Blockchain and AI be combined? What is the future of this convergence?
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When I was reviewing our new flagship SaaS TradersAlmanac.ai, I thought that the charts could use a little extra ‘oomph’ to make them do their conversion magic more powerfully. Indeed, in versions gone by of charts like these for other projects, Coindex CEO Ryan had asked for the very same thing: comparisons against S&P, NASDAQ and DJIA.
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This year has proved that in times of crisis, technology often progresses much more quickly than in times of peace. The spread of COVID-19 sparked the development of various innovative technologies, which have been an incredible support in many ways. Technology was already making some seriously impressive breakthroughs around the world, offering various new purposes.
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At the beginning of 2019, enterprise leaders from different top tech companies predicted Artificial Intelligence (AI), data science, and machine learning trends for future years. After two years, we reviewed their AI predictions to find out how accurately they predicted the developments in AI. Our team further studied and analyzed their predictions to give them a ranking.
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Our Innovation Quadrants are a framework to guide you in the startup research and scouting process. The Innovation Quadrant organizes emerging technology categories into four states of innovation.
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As work continues on Novi, Facebook’s digital wallet, a paper coauthored by scientists at Facebook’s Novi division proposes a transaction settlement system called FastPay. In experiments, the team managed to achieve “intra-continental” confirmation of less than 100 milliseconds and over 80,000 transactions per second with as many as 20 different payment authorities.
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According to Statista, the global startup economy generates nearly $3 trillion. Startups have always been the driving force behind the world market, bringing new ideas, and transforming familiar business systems. Unfortunately, the economic crisis associated with Covid-19 has not spared this area.
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What does it mean to be data-driven or data-dependent? To get one into perspective we take an example of all living things.
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2020 has been a crucial year for IoT and as we are approaching 2021, the technology is considering as a business imperative. IoT is everywhere today, making an impact on how we work, talk and engage with others. Reports show that there will be 35 billion IoT devices installed worldwide by 2021 and 75.44 billion by 2025.
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This will reverse the trend of a handful of giant technology companies swallowing most of profit from the machine learning boom.
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This allows the advantages of “big data” to be shared between organizations that are unable or unwilling to share data directly with each other.
Read MoreEverytime we find ourselves stuck in traffic, frustrated at a delayed train or waiting for a taxi to show up, we think, “Surely there must be a better way of doing things?”
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Artificial Intelligence has been seen as a blessing by the fintech players and payment providers that would help customers in online purchases during social distancing, and also facilitating people in not leaving their houses.
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The value and power of Artificial Intelligence is growing dramatically every year, and will soon dominate the internet – and the economy as a whole. However, AI tools today are fragmented by a closed development environment; most are developed by one company to perform one task, and there is no way to plug two tools together. See the full abstract and download the paper.
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