Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks ...

Jon covers artificial intelligence. He previously led CNET's home energy and utilities category, with a focus on energy-saving advice, thermostats, and heating and cooling. Jon has more than a decade ...

Jan 30 (Reuters) - Shares of videogame companies fell sharply in afternoon trading on Friday after Alphabet's Google (GOOGL.O), opens new tab rolled out its artificial intelligence model capable of ...

Adaptive has announced it is developing Aeron Sequencer, a new software infrastructure platform designed to address some of the toughest challenges in building modern institutional trading systems, ...

Anthropic CEO Dario Amodei believes software engineers may soon be an extinct species. In an interview with The Economist at the World Economic Forum in Davos, Amodei said AI models could do “most, ...

"It feels like the system is coding with me." This was the comment one of my senior engineers made while we were shipping a critical module for one of our Fortune 500 clients. This comment, although ...

SINGAPORE--(BUSINESS WIRE)--Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and ...

If software development were music, the past decade has been a jam session: developers riffing on code, improvising solutions … and occasionally hitting a sour note. But with AI increasingly stepping ...

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 ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...