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 ...

The global edge security market is experiencing rapid growth due to rise in adoption of secure access service edge (SASE) and ...

One of the key steps in developing new materials is “property identification,” which has long relied on massive amounts of ...

A hybrid fuzzy neural network model enhances prediction accuracy of hardness properties in high-performance concrete, ...

Tests of large language models reveal that they can behave in deceptive and potentially harmful ways. What does this mean for ...

For an AI scientist to claim its own discovery, the research would need to be performed “fully or highly autonomously”, ...

Researchers from the Institute of Cosmos Sciences of the University of Barcelona (ICCUB) have developed a new framework based on machine learning ...

Traditional silicon-based architectures face challenges from rising AI demands, leading to a shift towards specialized computing solutions. Neuromorphic computing reduces power usage while enhancing ...

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

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

Chest pain is among the most common reasons for presentation to the emergency department, yet identifying patients at the ...

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...