Creative inventions and ideas that show next-level thinking. Terror charge filed in Jan. 6 case I asked 3 restaurant pros to name the most annoying thing diners do ...

What's been your favourite new game this year? You can read all about our choices right here, with our full Game of the Year Awards 2025 list, but I've got one more for you. Importantly, this one ...

Artificial intelligence continues to reshape the digital landscape, and as we move into 2026, the pace of change is accelerating. Businesses across industries are leaning more heavily on AI software ...

SAN FRANCISCO, Dec 1 (Reuters) - Nvidia on Monday released new open-source software aimed at speeding up the development of self-driving cars using some of the newest "reasoning" techniques in ...

The youngest team in the NBA is the Brooklyn Nets, with an average player age of 24.9 years old. A common problem with rebuilding teams with an abundance of youth is allocating developmental minutes.

2025 has seen a significant shift in the use of AI in software engineering— a loose, vibes-based approach has given way to a systematic approach to managing how AI systems process context. Provided ...

SDLC guides teams to plan, build, test, and deliver software. Discover phases, KPIs, tools, and checklist with our quick start guide. Picture this: You and your team have spent a tremendous amount of ...

Pressure grows for software better aligned with business. Agile techniques have been stagnant for a decade. AI may speed up Agile team output. Agile has always had the best intentions: work side by ...

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 ...

The Waterfall framework and the Agile software development process are two competing software development approaches, and the two of them couldn't be more different. Here are the important highlights ...

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.