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.

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

Connect X9 (1.6 TB/s bandwidth), Bluefield 4 DPU (offloads storage/security), NVLink 6 switch (scales 72 GPUs as one), Spectrum X Ethernet Photonix (512 lanes, 200 Gbit optics for AI factories).

The generative AI in chatbots market is poised for rapid growth, driven by rising demand for personalized interactions, cloud ...

For a decade, the story of artificial intelligence has been told in ever larger numbers: more parameters, more GPUs, more ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

AI bots told to act as trading agents in simulated markets engaged in pervasive collusion, raising new questions about how financial regulators have previously addressed this tech.

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

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