From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements ...

China’s EUV effort reached 13.5 nm light generation, with chips not yet produced, helping you gauge AI supply risk and timing ...

List making is ultimately a forward, affirmative act — the wish to impose order on a chaotic world. In that spirit, we ...

This innovative approach combines climate data, archaeological evidence, and population dynamics to simulate how Neanderthals moved across the landscape. The model reveals that by the time ...

The unique properties of high-entropy alloys make them ideal for hydrogen storage, offering advantages in stability and ...