Tech Xplore on MSN
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 ...
Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
Tech Xplore on MSN
New method helps AI reason like humans without extra training data
A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...
Instead, physical AI needs to orchestrate a blend of on-device processing for speed and cloud computation for long-term ...
Two University of Iowa engineers have won funding from the National Science Foundation to develop a theory that would improve ...
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
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