As AI shifts from training to inference, investors are increasingly focused on infrastructure, memory, optics and power, ...

"The infrastructure foundation on which AI has been constructed will not sustain the AI of tomorrow." ...

Our personal identity is composed of many dimensions, such as age, gender, ethnic background, or socioeconomic status. A ...

Food insecurity identification modeling for Medicare can establish a reliable method of prioritizing members at risk of food ...

The company refers to this shift as “deployment-state AI,” but the underlying direction reflects a broader industry movement.

Abstract: In this technical note, we propose a model predictive control (MPC) framework for switched piecewise-affine (PWA) systems under dwell-time constraints, with guaranteed recursive feasibility ...

In a region still chasing hyperscalers, the more immediate challenge, especially for cross-border enterprises, is how to ...

Understanding drug resistance is crucial. Quantum modeling offers insights into molecular interactions, enhancing drug ...

Most AI work in radiology today is centered on diagnostic models. The focus is on improving accuracy by training on more data and refining models. This approach treats radiology mainly as a visual ...

The rapid ascent of large-scale artificial intelligence has provided neuroscience with a new set of powerful tools for modeling complex cognitive functions.

Abstract: With the transformation of manufacturing towards intelligence and flexibility, the workshop scheduling problem, as a typical combinatorial optimization problem, is facing increasingly ...

On April 7, 2026, Anthropic did something unprecedented in the history of artificial intelligence: The company announced that ...