A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, optimized data.

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

The progress in AI over the past decade is beginning to suggest answers to some of our deepest questions about human intelligence. Below, Tom Griffiths shares five key insights from his new book, The ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...

Explore how AI learning parallels physics laws, revealing insights into neural networks and their performance mechanisms.

Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI In many of the articles where I describe presentations by ...

SHANNON, CLARE, IRELAND, February 5, 2026 /EINPresswire.com/ -- A new publication from Opto-Electronic Technology; DOI ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

Sudoku games have evolved a lot since they first appeared in newspapers. Now, puzzle apps use artificial intelligence to ...