Integrating AI with advanced robotics to create self-driving labs (SDL) is a promising approach to tackling molecular discovery. A new SDL system, called LUMI-lab, combines large-scale molecular ...

We're relaunching PerfAgents with a renewed focus on performance test orchestration-bringing load testing, real user ...

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment ...

A technology has been developed that uses robots rather than humans to evaluate the performance of newly developed catalysts. By operating 45 times faster than manual work while also improving ...

Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder's research team built a new secrets detection method and scanned 5 ...

Google has shipped Android 17 beta 1 to developers and introduced a continuous "always-on" Canary release channel for updates.

The result is Humanity’s Last Exam (HLE). The dramatically titled test is 2,500 questions, crowdsourced from more than 1,000 professors, experts, researchers and graduate students at nearly 500 ...

After watching this talk, you’ll be able to write smarter and more comprehensive tests in Java using Property-based Testing - and catch bugs you didn’t even know existed at a fraction of the effort ...

In 2026, the gap between market leaders and laggards is defined by a single metric: the ability to ship high-quality code at the speed of thought. As applications evolve into complex webs of ...

Advertisers can now compare two sets of assets while keeping “common assets” consistent across both versions. Tests can be set up from the Experiments page under the Assets sub-menu, allowing ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...