The open source GPU-accelerated library supports TypeScript and JavaScript, allowing you to train neural networks or run pre-trained models
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A big challenge in neuroscience is understanding how the brain encodes information. Neural networks are turning out to be great code crackers.
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In a recent article, I discussed some of the significant progress being made in machine learning–enabled artificial intelligence and some of its potential
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In 2016, Google gave businesses the ability to build machine learning models using its cloud platform. TechRepublic's comprehensive guide explains how it works and why it matters.
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A big challenge in neuroscience is understanding how the brain encodes information. Neural networks are turning out to be great code crackers.
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Who is the better experimentalist, a human or a robot? When it comes to exploring synthetic and crystallization conditions for inorganic gigantic molecules, actively learning machines are clearly ahead, as demonstrated b
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Cybersecurity professionals see potential in machine learning, but they need education and guidance.
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With the machine learning providers now offering their products on a subscription basis, well, it’s not hard to imagine where things are likely headed.
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Man Group Plc is expanding the use of algorithms that evaluate risk, pricing and timing in financial markets and learn from their mistakes, according to a person with knowledge of the matter.
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