Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Scientific American

The next AI revolution could start with world models

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

IITM Pravartak launches second cohort of Applied Artificial Intelligence & Deep Learning programme to accelerate industry adoption

Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...
IEEE

Uncertainty-Aware Model-Based Multi-Agent Deep Reinforcement Learning for Robust Active Voltage Control

Abstract: The large-scale injection of new energy systems into active distribution networks (ADNs) has caused voltage violations, challenging the stable operation of power grids. Recently, deep ...
IEEE

FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G

Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...

IIT Madras Pravartak Opens Admissions For Applied AI And Deep Learning Course

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...