The rapid development of artificial intelligence and autonomous systems makes it crucial to achieve high-precision, highly robust, and accurate real-time 3D perception, understanding, and intelligent ...

The US DOE has set AI-driven challenges under the Genesis Mission to advance nuclear energy, fusion, cleanup, and national ...

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

Leading enterprises in China have achieved a series of new breakthroughs in shipping, energy, space exploration and other sectors, as showcased by key projects and innovations during the nine-day ...

Abstract: X-ray spectrum plays a very important role in dual energy computed tomography (DECT) reconstruction. Because it is difficult to measure x-ray spectrum directly in practice, efforts have been ...

Abstract: Limited-angle computed tomography (CT) remains a topic of active research due to its potential to address practical challenges such as scanning constraints and low dose demands. This ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Inspired by the Japanese art of kirigami, an MIT team has designed a technique that could transform flat panels into medical devices, habitats, and other objects without the use of tools.

AI project stalled? Blame your outdated, fragmented workflow - and redesign it now ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...