Quantum computing could be a $200 billion market by 2040. These AI leaders will likely play a significant role in it.

We speak to Cern principal scientist Archana Sharma about pattern recognition, machine learning and quantum technology.

Forging a close bond as two-thirds of international superstars, Foster the People, Sean Cimino and Isom Innis have embarked ...

Edge AI represents the convergence of AI and edge computing, enabling AI algorithms to run directly on local devices rather ...

HAMBURG, Germany, June 12, 2025 – As the ISC 2025 main program comes to a close today, the conference organization announced that Rosa M. Badia, a prominent European scientist specializing in parallel ...

As a computer-integrated manufacturing system, cluster tools are widely used for semiconductor manufacturing. To tackle their scheduling problems with parallel processing chambers, existing studies ...

Python is powerful, versatile, and programmer-friendly, but it isn’t the fastest programming language around. Some of Python’s speed limitations are due to its default implementation, CPython ...

Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...

Computer chips are being adapted to do more parallel computation, faster, for AI applications. Credit: Google This March, an eager crowd of 12,000 people filled a stadium in San Jose, California.