The pharmaceutical and medical device industries stand at an inflection point. After decades of reliance on traditional ...

Reactive planning and control capacity for collaborative robots is essential when the tasks change online in an unstructured environment. This is more difficult for collaborative mobile manipulators ...

The integration of artificial intelligence (AI), particularly computer vision, into energy systems is revolutionizing power optimization, enabling efficient ...

London-based Quantum Motion Technologies Ltd. announced today it has delivered the industry’s first quantum computer built using traditional semiconductor chipmaking processes, the same technology ...

Although computers are overwhelmingly digital today, there’s a good point to be made that analog computers are the more efficient approach for specific applications. The authors behind a recent paper ...

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by researchers at Microsoft Research, Barclays and University of Cambridge.

Israeli computer chip health monitoring startup ProteanTecs Ltd. said today it has closed on a $51 million late-stage round of funding that brings its total amount raised to north of $250 million.

Microsoft researchers developed a prototype analog optical computer (AOC) that can perform some tasks that an AI might be used for, as well as optimization problems. The new computing system could one ...

1 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

Abstract: Conventional network routing is based on strict rules that are inflexible, preventing dynamic adaptation to traffic movement. Our groundbreaking research introduces Q-learning, a machine ...