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 ...
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 ...
Frontiers

Hybrid Mechanistic–AI Modeling with Physics-Trained Neural Networks for Patient Digital Twins

Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.
Tech Xplore on MSN

Photonic chips advance real-time learning in spiking neural systems

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...
TMCnet

MicroCloud Hologram Inc. Achieves Breakthrough in Practically Deployable Quantum Recurrent Neural Network (QRNN) Technology Oriented Toward Sequential Learning

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...
Devdiscourse

From transformers to microgrids: AI expands across critical energy infrastructure

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...
Nanowerk

Photonic chips enable real time learning in spiking neural networks

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving ...