Machine learning with whole-cell patch-clamp and local field potential recordings reveals that synaptic responses from five mossy cells, despite their limited population, can significantly reconstruct ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Facebook's vice president of product, Jagjit Chawla, talks about how the platform treats AI-generated content and how you can ...

Imagine being able to compose an email or steer a wheelchair directly with your thoughts. For millions of people living with ...

Discover how Apple’s Secure Enclave and Apple Silicon power cryptography on MacBook Pro. Learn how hardware and software boost data security ...

Investments in modern grid technologies are driving decarbonization, protecting natural resources, and strengthening energy ...

The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

Traditional EDA tools rely on heuristics and static algorithms, which struggle to scale with modern design complexity. AI introduces a data-driven, adaptive approach, capable of learning from vast ...