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.
DUBLIN--(BUSINESS WIRE)--The "Adaptive AI Market - Forecasts from 2024 to 2029" report has been added to ResearchAndMarkets.com's offering. The Adaptive AI market is estimated to grow at a CAGR of ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...
DeepSeek-R1's release last Monday has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. Matching OpenAI’s o1 at just 3%-5% ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
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