University of Toronto researchers demonstrate how open-weight local LLMs can be used to autonomously exploit flaws and ...

Open-source networking platform helps students move beyond simulator limitations with hands-on routing and cybersecurity training on a real network operating system.POWAY, Calif., June 11, 2026 (GLOBE ...

Open-source networking platform helps students move beyond simulator limitations with hands-on routing and cybersecurity training on a real network operating system.POWAY, Calif., June 11, 2026 (GLOBE ...

Pramaana will focus on highly sensitive verticals like law, drug discovery, and tax preparation — where errors can be costly ...

By Stephen Nellis SAN FRANCISCO, June 15 (Reuters) - Cornelis, an Intel spinout developing networking technology aimed at ...

Limitless Labs, operating as LimitlessCNC Ltd., today announced it has raised $20 million in early-stage funding to support ...

AI graduate programs at top schools like Carnegie Mellon and Stanford are feeding a field where salaries average over ...

John Shovic wrote the "Python All-In-One for Dummies" and is the director of the Center for Intelligent Industrial Robotics, ...

Cornelis, an Intel spinout developing networking chips, has said a U.S. supercomputer is using its chips for nuclear work.

The JDY botnet, a malware network previously associated with Chinese threat actors like Volt Typhoon, has significantly expanded its targeting scope and reconnaissance efforts.

It warned that rapid advances in technology could soon allow AI systems to improve themselves faster than human control.

Researchers at the University of Toronto showed how hackers could use artificial intelligence to create a program that could target any known flaw in the world's computers.