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 ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Overview: Keras remains one of the most intuitive and developer-friendly frameworks for building deep learning models, making ...

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

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

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 ...

As AI models produce increasingly lifelike images, these simple checks can help you distinguish between reality and digital ...

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

What if creating high-quality 3D models no longer required expensive software, specialized hardware, or years of expertise? Enter Meta’s SAM 3D, an open source AI tool that promises to provide ...

Women have almost no protection in the US—but there is hope on the horizon. Glamour takes you inside the fight against ...