Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...

Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...

Are Businesses Ready to Trust AI with Their Most Sensitive Data? The discussion around trusting AI with sensitive data is both inevitable and essential. With AI systems increasingly integrated into ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...

How Can Organizations Effectively Manage Non-Human Identities? Have you ever considered how the digital backbone of your organization is secured when it comes to managing the vast array of Non-Human ...

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

New research suggests that the way brain networks reorganize moment-to-moment predicts autism severity. Children who spent ...

Experts repeatedly point to privacy and security as key advantages of on-device AI. In a cloud situation, data is flying every which way and faces more moments of vulnerability. If it remains on an ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

AI could accelerate the energy transition, but widespread adoption is stalled by unresolved trust, risk and governance concerns across sectors.

As algorithms feed affirmation instead of information, Mike McVay argues radio must clearly define news, commentary, and service to maintain credibility.