Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...

A Rensselaer Polytechnic Institute (RPI) engineering professor, Shaowu Pan, Ph.D. and his team of students have integrated ...

The term has left the industry divided, with definitions shaped as much by marketing as by technical consensus.

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and ...

xAI has an initiative (using Tesla AI4 hardware) to create AI that fully emulates human computer work. It will work like ...

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...

The latest in z.ai's ongoing and continually impressive GLM series, it retains an open source MIT License — perfect for enterprise deployment – and, in one of several notable achievements, achieves a ...

NINGBO, ZHEJIANG PROVINCE, CHINA, January 19, 2026 /EINPresswire.com/ -- In recent years, the global healthcare ...

In today’s automotive world, digital transformation is rapidly reshaping every corner of the industry—but one area has ...

Abstract: Input uncertainty in the simulation output is caused by the estimation error in the input models of the simulator due to finiteness of the data from which ...

Nuclear power has been proposed as a solution to meet the growing energy needs of artificial intelligence. But what if AI ...

Abstract: Input modeling is pivotal for generating realistic data that mirrors real-world variables for simulation, yet traditional parametric methods often fail to capture complex dependencies. This ...