AI is transforming software development, but training developers on AI ethics, security, and liability is critical to ...

Every year, cyber-attacks cost businesses billions of dollars and over 80% of security breaches are linked to software vulnerabilities that could have been found with proper penetration testing tools.

From booking dinner to summarizing tabs, Copilot Mode in Edge shows promise—but it's far from perfect.

A review of the Apple Watch Ultra 3, the brand's 2025 update to its best smartwatch—including analysis of battery life, ...

Is high-stakes testing as a graduation requirement about to make a comeback in Massachusetts? In a preliminary draft from the co-chairs of a state panel charged with setting new graduation standards, ...

Posts from this topic will be added to your daily email digest and your homepage feed. After a big bend, the battery appears to overheat — but iFixit isn’t worried. After a big bend, the battery ...

Owners of some Jeep Wrangler 4xe hybrids have been left stranded after installing an over-the-air software update this weekend. The automaker pushed out a telematics update for the Uconnect ...

We may earn a commission from links on this page. Deal pricing and availability subject to change after time of publication. If you want to begin coding—either for a career shift, a hobby, or just to ...

The future of the Texas coast is about to get a whole lot brighter. Technicians and designers lit up the new Harbor Bridge in Corpus Christi this week for a dazzling test run of its new aesthetic ...

Sikorsky is moving rapidly to mature its new family of autonomous rotorcraft, to include testing a full-scale demonstrator. The vertical-lift manufacturer on 6 October revealed a new trade name for ...

A survey by Coleman Parkes for Harness has found that the use of artificial intelligence (AI) in software development is on the rise, but there are gaps, which implies that more AI and automation ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.