By PureAI Editors
The technique used in the research has potential broad application for identifying persons based on a wide range of behaviors.
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By John K. Waters
Startup artificial intelligence toolmaker Sway AI launches a no-code AI platform it claims will allow any user to build and maintain AI solutions without writing a single line of code.
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By PureAI Editors
"Slot machine and quantum annealing training techniques might be useful in scenarios where neural networks must be retrained frequently and in scenarios where training must occur on devices with limited processing power, such as mobile phones," says Microsoft AI scientist engineer.
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By John K. Waters
Meta announces the AI Research SuperCluster (RSC), a new supercomputer it claims will be the fastest in the world once it is fully built out in mid-2022.
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By John K. Waters
Alphabet, this week announced a new integration between Google's Vertex AI managed machine learning platform and AlphaFold, a protein structure prediction system developed by DeepMind.
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By PureAI Editors
The goal of the event was to bring together leading researchers and engineers who use the PyTorch deep neural network code library.
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By PureAI Editors
Quantum-inspired optimization starts with a standard algorithm, such as particle swarm optimization or simulated annealing, and modifies the algorithm by using one of many ideas adapted from physics quantum behavior.
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By John K. Waters
OpenAI's ground-breaking GPT-3 natural language machine learning models will soon be available through a new service provided on Microsoft's Azure cloud platform.
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By PureAI Editors
Differential privacy consists of a set of techniques designed to prevent the leakage of sensitive data.
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By PureAI Editors
An analysis suggests the shift to remote work at Microsoft resulted in fewer formal connections between groups, which resulted in groups becoming more isolated.
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A Microsoft data platform expert aims to lift some of the fog that surrounds Power BI's more advanced capabilities.
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By John K. Waters
IBM Research has released a new open source toolkit that focuses on what IBM believes will be the next big area of advancing trust in AI: communicating an AI's "uncertainty."
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By PureAI Editors
At first thought, Bayesian neural networks don't seem to make much sense. So what are they and why is there such great interest in them?
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By PureAI Editors
Differential evolution may allow the creation of neural prediction systems that are more powerful than the current generation of systems.
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By PureAI Editors
Researchers and engineers at Microsoft have developed a successful system that detects compromised enterprise network user accounts.
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By PureAI Editors
The goals are to save money (over $4 million for a single training run of a natural language model) and reduce CO2 emissions.
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