CLEVELAND, Ohio — The numbers don’t lie – but they might not tell the whole truth either. That’s the central tension as the ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...

AI is rapidly entering clinical care, but malpractice law has not kept pace. As adoption accelerates, clinicians are being ...

A century after the Flexner Report, medical education faces its next revolution. Discover how AI agents are moving clinical ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

Energy is no longer a background input but a defining constraint and increasingly, a performance metric, shaping how AI ...

Tech giants race to eliminate AI slop from the internet. Model collapse threatens billions in investments, driving platforms ...

Instead of letting Citigroup’s employees fend for themselves, the $205 billion bank has provided workers with an AI training ...

The structure of X's "For You" algorithm can now be traced on GitHub. However, how exactly the algorithm evaluates which content remains unclear.