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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 ...
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...
Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...
The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of ...
The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
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