Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

With the increasing reliance on software in modern automobiles, traditional diagnostic tools that only read and clear fault codes are no longer enough. Today’s technicians and experienced car owners ...

It’s well-known by now that the Union have a big reputation for player development, perhaps the best of any American soccer club at the moment. So it shouldn’t be too surprising that a lot of people ...

The Jan. 21, 2026, edition of the SBJ Tech newsletter is a deep dive on checkout-free stores from firms such as Amazon and ...

Q4 2025 Earnings Call January 30, 2026 8:30 AM ESTCompany ParticipantsJohn Faucher - Chief Investor Relations Officer ...

Many political watchers are keeping an eye on whether US President Donald Trump will authorise strikes on Iran. The US has ...

As bots like Clawdbot enter Polymarket, near-perfect win rates raise questions about risk and market integrity.

China has set a new benchmark in extreme magnet science after researchers built the ...

Weighing under six pounds, alongside being less than an inch thick when closed, the Alienware 16X features an Intel Core ...

Hands twitch and glitch, obscuring the face. A digital dollhouse unfolds room by room, revealing delightful surprises. NKU’s ...

Microsoft develops a lightweight scanner that detects backdoors in open-weight LLMs using three behavioral signals, improving ...