The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
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 other than what they were trained on, raising questions about the need to ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
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 ...
Hosted on MSN
MIT Researchers Use Machine Learning to Identify Sustainable Alternatives to Cement Production
MIT researchers have developed a machine learning framework that can identify sustainable natural and industrial materials to partially replace cement, offering a scalable path to significantly reduce ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results