Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing power you need on board. You can’t rely on the cloud when you’re 400 feet ...

Artificial intelligence is becoming an integral part of mechanical engineering practice. Here, the author discusses how AI is ...

Researchers built a flexible graphene aerogel pressure sensor with extreme sensitivity, 20,000-cycle durability and uses in wearables and soft robotics. (Nanowerk News) A research team has developed a ...

The Fraunhofer Institute for Surface Engineering and Thin Films IST makes exactly these hidden conditions visible: with integrated thin-film sensor technology that measures directly on the component ...

Although a lot of headlines in the automotive domain have been around LLMs (large language models), a significant part of automotive design relies on traditional machine learning (ML) workflows in ...

BrainChip Inc. (ASX: BRN, OTCQX: BRCHF), a leading provider of ultra-low power, high-performance, neuromorphic AI IP, today announced a significant expansion of its software partner ecosystem. Leading ...

A new evaluation platform streamlines inertial sensor design with AI-driven analytics, real-time visualisation, and automated ...

Laser-based metal manufacturing, including powder bed fusion (PBF) 3D printing, requires precise parameter settings that can change even between batches of identical material. Empa researchers Giulio ...

Researchers at Empa have developed machine learning algorithms that reduce preliminary testing in laser-based metal additive manufacturing by about two-thirds without compromising quality. Using ...

Researchers have built a force sensor the size of a grain of rice that lets robots feel pressure and twisting forces using light, and it's already finding hidden tumors in tissue during early ...