A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

A research team led by Dr. Jinung An of the Division of Intelligent Robotics at DGIST has developed a new AI foundation model ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across industries.Different modeling types solve differe ...

What if AI could tell you when your diabetes might get worse—before it happens? From blood sugar trends to retinal scans, ...

A key challenge arises from agricultural data itself. Crop environments are highly variable, influenced by local climate, ...

Xinjiang long-staple cotton is widely used in the production of high-end textiles due to its excellent quality. However, ...

For most people, the image that comes to mind at the mention of archaeology is ancient tombs or dinosaur fossils, not cutting ...

Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...