Enabling AI to explain its predictions in plain language

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Machine-learning models can make mistakes and be difficult to use, so scientists have developed explanation methods to help users understand when and how they should trust a model’s predictions.These explanations…

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Uncommon Thinkers: Hanna Hajishirzi’s open approach to AI challenges the industry’s norms

Hanna Hajishirzi in her office at the Allen Institute for AI in Seattle. (GeekWire Photo / Todd Bishop) Editor’s note: This series profiles five of the Seattle region’s “Uncommon Thinkers”: inventors, scientists,…

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Goodbye, unreliable weather forecasts? Google DeepMind's AI model sets new benchmark for 15-day predictions

DeepMind has developed a new generative weather prediction modelIt's been trained on 39 years of global weather dataIt's more accurate than the current forecasting standard 97.2% of the time If…

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