Quantum computers could solve certain problems that would take traditional classical computers an impractically long time to solve. At the Japan Advanced Institute of Science and Technology (JAIST), ...

This approach can be viewed as a memory plug-in for large models, providing a fresh perspective and direction for solving the ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

Nokia is part of a growing list of optical vendors that have trumpeted higher-speed equipment for scale out and scale across ...

Advice around AI search is getting simplistic. The real edge comes from knowledge graphs, expert entities, and influence in trusted datasets.

Tolomatic’s John Fenske and Mason Cousins weigh in on how the industry is repositioning as electrification, systems ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

The Department of Energy has already cut mentions of the ALARA principle amid a larger push by the White House to change radiation regulations.

In most boardrooms, the final decision still comes down to a small circle of leaders weighing a narrow set of choices. Yet the problems they face now contain thousands, sometimes millions, of possible ...

Parminder Singh earned a 2026 Global Recognition Award for transforming infrastructure, strengthening enterprise security, and leading ...

AI scenario planning doesn’t attempt to be “right” in the traditional forecasting sense. Its real value lies in systematic ...