IEEE

Dual Loop Meta-Learning for Limited-Sample Modulation Recognition: A Collaborative Model-Agnostic Strategy

Abstract: Modulation recognition in electronic support measures systems is challenging due to the scarcity of labeled data. To address this, we propose a Dual-Loop Meta-Learning network for automatic ...
Barron's

Nvidia, Microsoft, and OpenAI: This Chart Captures AI’s ‘Circular Financing.’

Since Nvidia agreed last month to invest $100 billion in its customer OpenAI, investors and analysts who follow artificial intelligence have awakened to that industry’s circularity.
IEEE

A Geometric Deep Learning Approach to Traffic Flow Shockwave Prediction on Freeways Using Vehicle Trajectory Data and HD Map

Abstract: Accurately predicting the occurrence, amplitude, and propagation speed of traffic flow shockwaves are essential for dynamic traffic control to mitigate traffic congestion. However, ...
Edutopia

A Process for Successful Learning Labs

Learning labs are a structure where teachers can observe each other teaching and walk away with ideas to take back to their own classrooms. As an instructional coach, I’ve been lucky enough to work ...
marktechpost

Stanford Researchers Released AgentFlow: In-the-Flow Reinforcement Learning RL for Modular, Tool-Using AI Agents

Flow-GRPO (Flow-based Group Refined Policy Optimization) converts long-horizon, sparse-reward optimization into tractable single-turn updates: Benchmarks. The research team evaluates four task types: ...