An AI-informed model of human reward-based learning: Hybrid approach could aid studies of mood disorders

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...
VentureBeat

DeepMind open-sources Lab2D, a grid-based environment for reinforcement learning research

DeepMind this week open-sourced Lab2D, a software system designed to support the creation of 2D environments for AI and machine learning research. The Alphabet subsidiary says that Lab2D was built ...
EurekAlert!

Photonic chips advance real-time learning in spiking neural systems

New photonic chips could improve autonomous driving technologies and enable robotic systems that learn through real-world ...

The 12 Research Papers That Influenced AI Development Over The Last 6 Years

Over the past six years, artificial intelligence has been significantly influenced by 12 foundational research papers. One ...
Devdiscourse

From transformers to microgrids: AI expands across critical energy infrastructure

What was once experimental research is now becoming operational backbone across modern energy systems. In the editorial ...
New Electronics

Photonic chips break new ground in real‑time learning for spiking neural networks

Researchers have unveiled a new generation of photonic computing chips capable of performing real‑time learning and decision‑making using only light-based processes. Photonic chips deliver real‑time ...
The Next Web

Reinforcement learning makes for terrible AI teammates in co-op games

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Artificial intelligence has proven that complicated board and ...