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Tech Xplore on MSNNew algorithms enable efficient machine learning with symmetric dataMIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...
Professor Toshiaki Taniike’s lab – Laboratory of Materials Informatics, is pioneering a new era of materials discovery by ...
By 2030, it’s expected that the market for streaming data will eclipse $73 billion, growing nearly 20% each year until then. More impressively, the machine learning market—which brought in $15 ...
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