Montes of the Western District of Louisiana discusses proposed Federal Rule of Evidence 707, which would reclassify certain ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

Abhinav Agarwal comes on Asking for a Trend to explain how the company is using AI models in its hormone monitoring device ...

Researchers led by Universitätsmedizin Frankfurt and Goethe University Frankfurt have identified how particularly aggressive forms of lymphoma can be recognized.

AI distillation attack records were shattered when Anthropic told the U.S. Senate that Alibaba’s Qwen lab ran 28.8 million ...

ITU AI for Good Global Summit 2026 opens Day Zero on July 7 at Palexpo Geneva, featuring agentic AI security workshops and ...

The programme aims to equip professionals build production-grade AI capabilities across machine learning, deep learning, ...

Abstract: Achieving food security has become a major challenge for society. Crop yield estimation is essential for crop monitoring to ensure food security. Manual crop yield estimation is cumbersome ...

Abstract: Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive ...

Lopez, K., Li, H., Paek, H., Williams, B., Nath, B., Melnick, E.R., et al. (2024) Predicting Physician Departure with Machine Learning on EHR Use Patterns A Longitudinal Cohort from a Large ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.