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Cloud Computing: How “Huang’s Law”, gains in AI chip performance even faster than Moore’s Law, moves data processing from the cloud to the edge and may explain Nvidia’s Arm deal (Christopher Mims/Wall Street Journal)

Cloud Computing: How “Huang’s Law”, gains in AI chip performance even faster than Moore’s Law, moves data processing from the cloud to the edge and may explain Nvidia’s Arm deal (Christopher Mims/Wall Street Journal)

Top News More: New York Times, TechCrunch, TikTok, Wall Street Journal, CNBC, CNN, The Information, Walmart Inc., Variety, Gizmodo, CNET, New York Times, Financial Times, U.S. Department …, Fortune, PR Newswire, iPhone Hacks, TechSpot, PYMNTS.com, AppleInsider, 9to5Mac, MacRumors, Reuters, Associated Press, Deadline, Reuters, Mashable, Dailystar.co.uk, New.blicio.us, Protocol, ZDNet, Social Media Today, dot.LA, Fortune, PCWorld, Digital…

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Blockchain: Will Chainlink’s Integration With E&Y And Microsoft Backed Baseline Make Ethereum Enterprise Ready?

Blockchain: Will Chainlink’s Integration With E&Y And Microsoft Backed Baseline Make Ethereum Enterprise Ready?

Today, the team behind the Baseline Protocol - an enterprise focused blockchain projects pioneered by EY, Microsoft, ConsenSys, AMD and others that uses the public Ethereum blockchain announced support for integration with decentralized oracle provider Chainlink. Baseline Credit: Baseline The announcement represents an important milestone for both the baseline protocol as well as Chainlink as they both attempt to make…

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Blockchain: The Real Value In Asset Tokenization Platforms Has Arrived

Blockchain: The Real Value In Asset Tokenization Platforms Has Arrived

getty Asset tokenization, through the use of blockchain technology, has long promised to open new ways for investors to access assets and transform their attributes.  While the promise of liquidity, automation, and transparency are improvements over the current system, real financial engineering was not explored — until now.   Most tokenizations are digitizing pre-existing private and…

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