Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

Few people have invented an algorithm with the potential to spark a worldwide crisis, so why is quantum computing pioneer ...

Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...

An internationally recognized research leader in computational intelligence, machine learning, data fusion and signal ...

Understanding how firms build their capabilities, such as managerial skills, technology adoption and innovation capacity, is ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Many students appear to be completing assignments faster while learning less from them. This conclusion comes from one of the largest studies of how generative AI is changing student behavior and ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

On Wednesday, Jelani Nelson, a professor of theoretical computer science and chair of UC Berkeley's electrical engineering and computer science division, announced he was taking a leave of absence to ...

If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else's issue ...

Microchip Technologies' Brette Mullenaux delves into post-quantum cryptography and how it is reshaping the approach to ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?