China’s new coding AI beats GPT-5.1 and Claude 4.5, with 128,000-token context helping you solve tougher repos faster and cut ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

For the past few years, we have watched agentic AI systems generate impressive demonstrations. They write code that passes test cases. They search the web and answer complex questions. They navigate ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

There’s a lot of interest in and concern around the use of AI agents. For organizations grappling with whether and how to use agentic AI, I recommend considering the model from the perspective of ...

Generative AI has officially entered the infrastructure as code (IaC) trenches. What started as a bottom-up phenomenon — developers using ChatGPT and Copilot to avoid Googling Terraform syntax or ...

AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...

AI is having a huge impact on a diversity of businesses. To gain an insight, Digital Journal spoke with Experian’s Chief Scientist Shanji Xiong. Xiong is the Chief Scientist and co-founder of the ...