Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...

Dono.AI Inc. announced today that it has raised $6.5 million in new funding to accelerate its expansion of its property ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Researchers have developed a fully real-valued, end-to-end optical neural network chip that overcomes the physical limitation ...

A food-safe gelatin microneedle sensor pierces sealed packaging and changes color as food spoils, offering consumers a ...

A flexible electronic skin stacks carbon nanotube layers to sense touch position and pressure simultaneously, performing classification through its physical structure rather than external processors.

This bioinspired ammonia sensor uses engineered water droplets for fast, stable gas detection, overcoming limitations of ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Everyday wireless signals can be used to spot common respiratory diseases quickly, safely and with high diagnostic accuracy, ...