In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Household gadgets have a way of sounding scarier than they are once someone attaches a giant number to them. The claim that a toaster quietly sheds 1.73 trillion particles every minute, even when it ...

The Trump administration wants to revamp U.S. childhood vaccination recommendations to align with some other peer nations, including one tiny country in northern Europe.

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

Discover how quantum-resistant key management secures AI model deployments, protecting against quantum computing threats with advanced encryption and zero-trust strategies.

These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.

What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

In a CiOL interaction, Superteams.ai Founder Soum Paul breaks down enterprise AI adoption, fractional AI teams, governance ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Read how prompt injection attacks can put AI-powered browsers like ChatGPT Atlas at risk. And what OpenAI says about combatting them.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...