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.

Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

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

Educational Voice targets growing demand for animated training content as organisations shift toward video-based learning A well-produced training animation can reach thousands of employees ...

When preschool is accessible, more children start school with confidence. More parents can work or pursue education knowing ...

As AI makes execution cheap and abundant, the most valuable human skills lie upstream and downstream: defining problems, ...

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...

The software engineering field is not immune to the effects of AI either. Tools such as GitHub Copilot and OpenAI Codex are transforming how code is written and reviewed. These AI systems can generate ...

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

Professor Watson announces the opening of enrollment for the next session of Ethics in the Workplace, a specialized course ...