A Microsoft Research study suggests glass blocks etched with lasers could provide enduring data archives ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
AI optimists envision a future where artificial general intelligence (AGI) surpasses human intelligence, but the path remains riddled with scientific and logistical hurdles.
To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...
Historian Philip Decker, mathematician Victor Geadah, computer scientist Sayash Kapoor, and literary scholar Eliana Rozinov are this year’s Porter Ogden Jacobus Fellows.
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