One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

In a first, Australian scientists turned to quantum machine learning to model semiconductor design, outperforming classical ...

In this article, we focus on the scalable distributed data-driven state estimation problem using Gaussian processes (GPs). The framework includes two parts: 1) the data-driven training approach and 2) ...

Therefore, this study proposes a system-level calibration optimal path planning method based on an improved Dijkstra’s algorithm. First, the system-level calibration optimal path planning problem was ...

To make a truly realistic fake picture of a galaxy, you can model exactly how light particles travel through the atmosphere and telescope to reach its sensor.

In The Fourth Paradigm: Data-Intensive Scientific Discovery, the collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on ...

In a nutshell Most commercial fitness trackers provide inaccurate calorie burn estimates for people with obesity, due to differences in body shape, movement, and gait that these devices weren’t ...

Purdue Agriculture researchers are harnessing the power of artificial intelligence (AI) and machine learning (ML) to amplify ...