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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
According to Daniel Acton, chief technology officer at Accelera Digital Group, the sophisticated use cases promised by AI require a robust foundation of high-quality data.
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...
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