Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of Mercury 2, the fastest reasoning LLM and first reasoning dLLM. Mercury 2 ...

Pretraining a modern large language model (LLM), often with ~100B parameters or more, typically involves thousands of ...

In doing so, the researchers have shown that the assumption of online identities being protected through pseudonymity is no longer particularly robust, as the AI tools can quickly ...

AI’s brilliance comes at a hidden cost. Frontier labs are spending billions to serve their most demanding users, even as cheaper rivals race to commoditize their breakthroughs. The result may be a ...

Always manage your AI agents as carefully as you do your human staff, says the tech leader of the “private AI” company.

The combined market capitalisation of the top five Indian IT companies namely, TCS, Infosys, HCL Tech, Wipro and Tech ...

The race to deploy AI agents has outpaced the infrastructure required to make them trustworthy. Everpure’s Matthew Oostveen ...

If there is anything that the last few years of digital transformation have taught us, it is that resilience is the currency of today’s modern economy. Recent high-profile infrastructure outages have ...

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.

Agentic AI means autonomous agents working together, sharing data, and taking action – across different systems and platforms ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

An analysis of LLM referral traffic shows low volume, rapid growth, shifting citations, and an 18% conversion rate.