Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

Fitness may peak at 35, but physical activity remains a crucial factor in ageing well. Four high-performing Australians over 50 show us how it’s done.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

VIENNA, March 10, 2026 /PRNewswire/ -- United Imaging, a global innovator in AI-powered advanced medical imaging technologies and intelligent healthcare solutions, showcased its comprehensive ...

Permafrost regions contain a globally significant mercury (Hg) reservoir. An estimated 1,656 ± 962 Gg total Hg in Northern Hemisphere permafrost-region soils, with 793 ± 461 Gg frozen in ...

Gradient's Renton, Wash., office space is home to 10 million sports and gaming cards, where a team of card geeks and ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...