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

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 ...

With increase in the applications of autonomous systems, in both civilian and military domains, it has become increasingly ...

Imagine being able to compose an email or steer a wheelchair directly with your thoughts. For millions of people living with neurological disorders such as ALS, this possibility could be life-changing ...