Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic ...

Biochar, a carbon-rich material made from organic waste, is gaining attention for its ability to improve soils, clean water, and capture carbon. A new review in Biochar X highlights how machine ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

AI cheats not because it’s broken, but because it has learned our own bad habit—rewarding what feels good over what is true.

At the advanced level, deep learning and reinforcement learning are applied for real-time personalization, dynamic pricing, and multimodal coordination. These models enable transport systems to adapt ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Zapier reports that AI automation enhances traditional automation by combining intelligent technologies, improving efficiency ...

The machine learning field is moving fast, and the yardsticks used measure progress in it are having to race to keep up. A case in point, MLPerf, the bi-annual machine learning competition sometimes ...

The Defense Logistics Agency has published a white paper by David Bella pushing for machine learning to modernize logistics ...

Abstract: The prediction and modeling of ionospheric total electron content (TEC) have consistently been a focal point for researchers, as it holds significant implications for satellite positioning, ...