Vitalik Buterin argues adversarial governance mechanism design theory could directly apply to AI safety, drawing parallels ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

For decades, the instinct in the boardroom has been to treat an emerging risk the way institutions have always treated new ...

Researchers trained AI on how expert pathologists look for signs of cancer in patient samples, improving the algorithm's effectiveness.

Clinicians often use a medical test called a 12-lead electrocardiogram (ECG) to diagnose heart problems. It uses electrodes ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...