One of the biggest promises of quantum computing is the ability to simulate molecules ...

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 ...

Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

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 ...

At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...

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

Patented IoT system shifts food safety from reactive detection to proactive prevention, using AI sensor fusion to ...

Pattern-recognition algorithms developed for biometric identification are now analysing internal engine components, allowing ...

Training standard AI models against a diverse pool of opponents — rather than building complex hardcoded coordination rules — ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

Using an advanced imitation learning algorithm and camera perceptions, researchers with the Arkansas Agricultural Experiment ...