The F-35's AI-enhanced identification capability is blending sensor fusion with machine learning to classify unknown contacts ...

Produced using biocompatible materials and manufacturing processes, the MIS2DU12 has a 20nA power-down and sub-1µA active mode to extend the operating envelope of implantables such as cardiac monitors ...

A research team affiliated with UNIST has unveiled an innovative, cost-effective biosensor capable of being washed and reused ...

The current focus of Fraunhofer CAP team is on creating a more compact, cheaper, hand-held device which can scan smaller ...

Trinamix partners with Aumovio to bring fingertip alcohol detection sensors to cars by 2029 using near-infrared spectroscopy ...

Epirus and DFT integrate Leonidas high-power microwave and Seraphim software into a unified counter-UAS kill chain.

Rapid advances in sensing technologies and artificial intelligence are transforming how we observe, understand, and manage soils. Many of soil properties ...

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

Researchers have proposed a multimodal sensor fusion approach to AI-based fault detection in 3D printing, aiming to push AM monitoring closer to reliable, Industry 4.0 operation.

Scientists at the Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE) in Germany have ...