More than $40 million in Florida immigration grants will pay local law enforcement agencies for capturing and holding ...

As more enterprises shift to remote work and cloud-driven platforms, traditional perimeter-based defenses are no longer sufficient. Nowadays, malicious ...

From the depths of the ocean to the craters of the moon, Carnegie Mellon University has spent more than 40 years designing robots for the most extreme environments. On Feb. 27, the university will ...

Xiomara Quinonez ’24 graduated from Santa Clara University with a major in Computer Science and Engineering and a minor in Technical Innovation, Design, & Entrepreneurship. Quinonez was a 2023-24 ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

The new registration kits collect fingerprint biometrics, but also iris biometrics using the IriShield BK binocular scanner from IriTech.

The latest edition of NIST’s ongoing report series evaluating biometric face verification accuracy includes the debut of algorithms from Iris ID and Vietnam-based FPT Telecom JSC, along with new ...

Facial recognition and license plate reading tools that Immigration and Customs Enforcement and other Department of Homeland Security personnel are using in sweeps infringe five patents owned by a ...

United States Customs and Border Protection plans to spend $225,000 for a year of access to Clearview AI, a face recognition tool that compares photos against billions of images scraped from the ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.