Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

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

Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

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

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 ...

Our current approach to mental health labelling and diagnosis has brought benefits. But as a practising doctor, I am concerned that it may be doing more harm than good ...

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.

“It was the first proof point,” said Pomeraniec. “We could actually take information from the real world, translate it into a ...

As an innovative subtype of invasive brain-computer interfaces (BCIs), the Endovascular Brain-Computer Interface (EBCI) enables electrode delivery to target brain regions via endovascular intervention ...

Science and business often exist in parallel realities. Scientific achievements fail to find practical application, and business fails to fully utilize the potential of science. In this situation, ...