The startup’s software-as-a-medical (SaMD) determines a predicted delivery date solely from standard ultrasound images.

Artificial intelligence (AI) systems are computational models that can learn to identify patterns in data, make accurate predictions or generate content (e.g., texts, images, videos or sound ...

Photonic crystal sensor shows over 91% accuracy for cervical cancer screening, maintaining performance across varied ...

WOMEN experience unique changes in grey matter volume, white matter tracts, and functional neural network organisation after ...

Know how Market Manipulation Detection in Web3 identifies coordinated trading behavior. Learn how AI analytics spot wash trading, MEV patterns, and liquidity exploitation.

A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

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

The open-source nature of RISC-V brings the benefits of a modular and royalty-free instruction set architecture (ISA) that eliminates licensing fees, can accelerate development, and fosters ...

Fae B. Kayarian, MD, provides a brief history of the innovations in retinal screenings that have brought us to the precipice ...

Field tests reveal that image resolution, computing power, and seasonal variability can limit drone weed detection.

Large Language Models (LLMs) are the industry’s closest friends. They are our best friends, even if they are seen as disruptors, making the scene volatile. They are a learner’s paradise. With the risk ...