OpenAI, Google, and Alibaba unveil faster, cheaper AI models built for real-time apps and local devices, signaling a shift from AI power to speed and efficiency.

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

Experts and public-sector technologists say the AI-powered software development technique may one day offer government the ability to fast-track ideas, improve procurement and more.

Perplexity Computer launches with 19 specialized AI models working in parallel to build apps, dashboards, research, and more from a single prompt.

After several weeks of testing, Apple today released Xcode 26.3, an update that allows developers to use tools like Anthropic ...

IBM’s ( IBM) Software and Chief Commercial Officer, Rob Thomas, wrote in a Monday blog post that translating COBOL code isn’t equivalent to modernizing enterprise systems, emphasizing that platform ...

Because of the nation’s diversity, the chipmaker has devised a new strategy for growth that doesn’t rely only on GPUs.

AI isn’t killing tech jobs — it’s changing them, favoring pros who pair data and cloud savvy with curiosity, empathy and business sense.

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.