A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

The implication is not that machines have cracked markets. Rather, they appear to have learned much of the industry’s common playbook.

An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...

BAILA 3.0 gives advisors an AI investment strategist, freeing them to focus on client relationships and growing their practice ...

A blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical ...

2026年2月20日、東京科学大学情報理工学院の岡崎研究室と横田研究室、国立研究開発法人産業技術総合研究所(産総研：AIST)の研究チームが、OpenAI GPT-OSSの日本語能力と思考力を強化した推論型大規模言語モデルの「GPT-OSS ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

A team of EPFL researchers has developed an AI algorithm capable of modelling complex dynamical processes while adhering to ...

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

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD) ...