The VA’s emerging tech initiatives have ranged from introducing an AI chatbot designed to help agency employees with ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Data centers and cloud computing need multi-core and multi-socket scalability. And while the basic building blocks can be ...

Berkeley Lab’s new Doudna supercomputer, built by Dell, will fuse scientific simulations with cutting-edge AI performance.

Reversible programs run backward as easily as they run forward, saving energy in theory. After decades of research, they may ...

Quantum computing has the potential to transform the aerospace sector by tackling complex challenges that classical systems cannot address. This white paper exp ...

Computer Interfaces (BCIs), Deep Brain Stimulation (DBS), Neuroadaptive Algorithms de Lima Dias, R. (2025) The Hybrid Mind in ...

Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical ...

This paper introduces a data-oriented, machine learning-enhanced approach to achieve massively parallel EMT simulation on CPU-GPU ... via artificial neural networks and integrates these models using a ...

We use CMake because the autohecbench.py was giving us trouble ... We encourage writing the results of the execution to a log file for later error/execution analysis. Once all the roofline ...

Speed and agility are key when building a competitive advantage, and many organizations are using AI to get there ... back-end APIs, machine learning algorithms or data pipelines.