Quantum Machines and Academia Sinica showed that a two-qubit gate normally taking about 15 minutes to bring up manually can ...

This research introduces a novel Reinforcement Learning (RL) algorithm designed to address longstanding limitations in ...

A platform for training and comparing machine learning models to actively reduce drag, improve lift, cut noise and manage ...

IBM has released Granite 4.2, its first family of dense, decoder-only reasoning language models, in three sizes: 3B, 8B, and ...

On twenty-qubit Clifford+T circuits, a new method removes double the number of computational steps compared with existing ...

Real-world robotic manipulation in homes and factories demands reliability, efficiency, and robustness that approach or surpass skilled human operators. We present a real-world reinforcement learning ...

Artificial intelligence is rewriting the world and simultaneously inventing a whole new language to describe how it’s doing it. Sit in on any product meeting, pitch, or panel these days, and you’ll ...

Abstract: Robotic arms are widely used in various aspects of human–robot collaboration. The primary goal of this study is to explore the usability of robotic arms for delivering objects to humans in ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...