Interesting Engineering on MSN

AI-trained quadruped robot walks rough, low-friction terrain without human input

This multi-objective setup encourages natural walking behavior rather than rigid or inefficient movement. A four-stage ...
AZoRobotics on MSN

Simulation-only training enables quadruped robots to master real-world terrain

A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...
Devdiscourse

AI can cut emissions and congestion in urban transport by nearly 50%

Traffic congestion, fuel consumption, and emissions also offer quantifiable performance indicators, making mobility uniquely ...
Science News

Reinforcement learning AI might bring humanoid robots to the real world

ChatGPT and other AI tools are upending our digital lives, but our AI interactions are about to get physical. Humanoid robots trained with a particular type of AI to sense and react to their world ...
VentureBeat

DeepSeek-R1’s bold bet on reinforcement learning: How it outpaced OpenAI at 3% of the cost

DeepSeek-R1's release last Monday has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. Matching OpenAI’s o1 at just 3%-5% ...
EurekAlert!

A new AI-based attack framework advances multi-agent reinforcement learning by amplifying vulnerability and bypassing defenses

Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...