I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

The Window of Opportunity Has Arrived - Eight Trends in L3 Layout of OEMs and Tier 1 Suppliers. Through in-depth research on 15 OEMs (including 8 Chinese and 7 foreig ...

AI is rapidly entering clinical care, but malpractice law has not kept pace. As adoption accelerates, clinicians are being ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

Omni NDE cobots, X-ray end effectors and Voxray’s reconstruction approach enables 5-micron inspection of aerospace parts without size constraints.

A sharp critique of the outrage industrial complex and how algorithms profit from moral anger and constant digital conflict.

I think we really have to think politically and really think about our values and what we need to protect there," Michael Livermore said.

CNC machining has long been the foundation of precision manufacturing, but the pace of change heading into 2026 is unlike anything seen before.