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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By John K. Waters
Researchers at Cambridge Quantum Computing show that quantum computers can learn to reason, even under conditions of partial information and uncertainty.
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By John K. Waters
Duke University researchers have developed an AI tool that can be installed in a standard toilet to provide information gastroenterologists use to determine appropriate treatment for such chronic illnesses as inflammatory bowel disease and irritable bowel syndrome.
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Microsoft announced plans to integrate OpenAI's GPT-3 natural language model with its Power Apps product suite at its annual Build developer conference last week.
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By John K. Waters
Google's new AI platform allows data scientists and machine learning (ML) engineers "across all levels of expertise" to implement Machine Learning Operations (MLOps) to build and manage ML projects throughout the development lifecycle.
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