Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...
A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk.
Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...
GBH Morning Edition host Mark Herz spoke with MIT computer science professor Marzyeh Ghassemi about AI's use in medicine.
What if auditors could predict when errors are more likely to occur in financial reporting? Instead of simply improving ...
Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...
To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...
As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...
The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...
That line from 2014 movie Ex Machina keeps surfacing as I watch my students navigate a world increasingly shaped by ...
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