Claude Sonnet 4, and Gemini 2.5 Pro dynamically — no hardcoded pipelines, fewer tokens than competing frameworks.

Stanford research finds single-agent AI matches or outperforms multi-agent systems under equal compute budgets — with lower latency, cost, and complexity for most enterprise reasoning tasks.

Legacy systems cause chaos for AI agents. A universal context layer provides the secure framework needed to govern data and ...

Wondering what’s happening at home when you’re away? These smart cameras help you stay connected, check live footage, and get alerts instantly anytime anywhere.| Technology News ...

Artificial intelligence is a deep and convoluted world. The scientists who work in this field often rely on jargon and lingo to explain what they’re working on. As a result, we frequently have to use ...

Honda Australia CEO Jay Joseph is a company man through and through. Paul Gover sat down with the 25-year brand veteran to ...

ABG asked this year's winners about how industry trends, tips for navigating those trends, and how they've transformed ...

Now, new research suggests that large language models can sometimes show a similar tendency when specifically trained to ...

A new study finds that large language models (LLMs), used with straightforward prompting, perform poorly on routine ...

Choosing between building up technical debt and missing delivery deadlines is a false dichotomy, Daniel Terhorst-North argued ...

As LLMs hit the limits of scale and cost, specialized SLMs are emerging as the faster, cheaper, and more private workhorse ...

Want AI on your phone without cloud limits? Models like Llama 3.2, Qwen3, Gemma 3, and SmolLM2 run locally for private chats, coding, reasoning, and image tasks. Llama 3.2 is the best all-rounder, ...