AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems ...

Key insights about the next generation of software delivery from Harness’s event, including insights on software delivery ...

The future of process automation and control combines the reliability of traditional DCS with the agility of cloud/IT ...

Explore teamLab's immersive art experiences and Takashi Kudo's insights on creativity, technology, and the essence of ...

Toyota and Lexus have just launched one of the biggest recalls of the year. More than one million cars, trucks, and SUVs are ...

Knitting may seem like an ancient craft, but researchers at Cornell University and Carnegie Mellon University have reimagined ...

The core of the 36-meter extrusion line is a 19-meter salt bath. At the start of the production line, two mobile extruders ...

With software engineers adopting AI faster than other industries, some workers say they've experienced reduced everyday ...

The AI products that succeed are rarely "moonshots." Success comes from a systematic framework that pairs business metrics ...

In IT, frontline engineers care about time and toil. If AI reduces ticket ping-pong and weekend escalations, adoption is likely to follow. If it simply adds noise, it will most likely die. Keep your ...

The no-code movement lets anyone build software without coding. Learn how no-code tools in 2025 enable fast, cost-effective, ...

Artificial intelligence is supercharging cyberattacks with speed, precision, and deception but the biggest vulnerabilities ...