By employing multimodal data fusion, merging traffic volumes, weather patterns, and vehicle telemetry, the system boosts the ...

The ability to learn socially from one another is a defining feature of the human species. Social learning enables humans to ...

Explore the hidden trade-offs of reinforcement learning in AI and why base models might hold the key to true intelligence.

Read more about Deep reinforcement learning could redefine insulin delivery for diabetes patients on Devdiscourse ...

Reinforcement Learning (RL) and Computer Vision (CV) are no longer emerging technologies on the horizon—they’re already ...

RAGEN stands out not just as a technical contribution but as a conceptual step toward more autonomous, reasoning-capable AI agents.

There has been much talk about how AI could recursively self-improve in the coming years, but it appears that Google ...

This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

Hariprasad Sivaraman, a freelance researcher and pioneer in CI/CD pipelines and ML-based deployment orchestration, has always ...

This project provides a function to compute the optimal value function for a grid-based environment where a robot navigates to maximize rewards while avoiding penalties. A simple experimental project ...

In “Water, Nutrients, and Substrates,” a four-part series, Root Alliance will present its latest research findings on water treatment design, ozone and cold plasma systems, recirculating hydroponic ...

State Key Laboratory of Photonics and Communications, Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China State Key Laboratory of Photonics and Communications, ...