Quantum algorithm iQCC, run on a standard AMD CPU server without quantum hardware, outperforms every classical chemistry ...

Drug-target interaction prediction can help researchers explain mechanisms of action, identify candidate targets, reposition existing medicines and prioritize compounds before costly laboratory work.

For some theories of consciousness, such as displaying complex cognitive abilities, LLM s score a lot higher than the ...

A new review maps the fast-moving landscape of artificial intelligence (AI)-driven drug-target interaction (DTI) prediction, showing how the field has progressed from hand-crafted molecular features ...

To address these growing challenges, next-generation (next-gen) computing is emerging as a transformative evolution in ...

Bill 33, formally known as the Supporting Children and Students Act, was passed in November 2025 and introduces significant ...

Noitom Robotics released HiPHI, a 617.5-hour studio-precision motion capture dataset, at the World Robot Conference 2026. It ...

If AI can rapidly design novel medicines, could it eventually create performance-enhancing substances that anti-doping ...

Banks are reporting real AI gains in coding, service, compliance and knowledge work. The harder question is when capacity ...

Vita Power, a leading enterprise in China’s robotics sector, has officially entered the humanoid robot track after its ...