Revolutionary autonomous testing agent catches 847 bugs monthly while reducing QA cycle time from weeks to daysQA flow, ...

In numerous scientific fields, high-throughput experimentation methods combined with artificial intelligence (AI) show great promise to accelerate innovation and scientific discovery.

Microsoft alone runs approximately 100,000 A/B tests each year to continuously optimize products. A famous Gmail experiment, ...

Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated distributed agent platform. They explain the transition to a ...

GFP Real Estate’s office building at 505 Eighth Avenue has signed three new tenants that will occupy space totaling 18,103 square feet at the 25-story tower formerly known as the Hoover Building, the ...

Product demos get all the attention, but software development more often involves things like debugging, quality assurance, and testing. It’s the dull but critical work that keeps software running the ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

SpaceX has confirmed that its third-gen Super Heavy Booster, the first stage of the two-stage Starship system, suffered an explosive gas failure of sorts during testing on Thursday morning. In a post ...

The model that recently went viral is improved with Gemini 3 Pro. The model that recently went viral is improved with Gemini 3 Pro. is a deputy editor and Verge co-founder with a passion for ...

WEST PALM BEACH, Fla. (AP) — New tests of the U.S. nuclear weapons system ordered up by President Donald Trump will not include nuclear explosions, Energy Secretary Chris Wright said Sunday. It was ...

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 ...

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.