As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...

AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

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

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

Executives do not buy models. They buy outcomes. Today, the enterprise outcomes that matter most are speed, privacy, control and unit economics. That is why a growing number of GenAI adopters put ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

Following CES Unveiled, FIRSTHABIT will officially unveil its next-generation learning platform CHALK 4.0 during the CES 2026 ...

With a self-hosted LLM, that loop happens locally. The model is downloaded to your machine, loaded into memory, and runs ...