eLife

A unifying account of replay as context-driven memory reactivation

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing ...
The Robot Report

4 physical AI predictions for 2026 — and beyond, from UR

Trends such as industry-specific AI and a new data economy will affect physical AI in 2026, says a Universal Robots executive ...
IEEE

Reinforcement Learning Based Dynamic Adaptive Frequency Scaling for O-RAN Energy Saving

Abstract: As the demand for flexibility in radio access networks (RAN) grows, O-RAN architectures are increasingly adopted. To mitigate carbon emissions, energy-saving techniques for cloud base ...
IEEE

Reinforcement Learning-Based Dynamic Portfolio Optimization Under Adversarial Market Conditions

Abstract: Reinforcement learning (RL) allows real-time asset allocation in response to market volatility, making it promising for portfolio optimization. The financial performance of RL-based agents ...