Aerospace and Mechanical Insider on MSN

NVIDIA’s Doorman achieves zero-shot humanoid door opening

How could such a humanoid robot, trained fully in simulation, far outperform human operators on a real-world door-opening ...
Nature

Reinforcement learning for end-to-end UAV slung-load navigation and obstacle avoidance

This study introduces an end-to-end Reinforcement Learning (RL) approach for controlling Unmanned Aerial Vehicles (UAVs) with slung loads, addressing both navigation and obstacle avoidance in ...
TechCrunch

Deep reinforcement learning will transform manufacturing as we know it

If you walk down the street shouting out the names of every object you see — garbage truck! bicyclist! sycamore tree! — most people would not conclude you are smart. But if you go through an obstacle ...
Geeky Gadgets

Figure AI Uses Reinforcement Learning to Teach Robots to Walk Naturally

Figure AI has developed a new humanoid robotic natural walking capability for its humanoid robots, leveraging reinforcement learning (RL) and simulation-based training. This approach enables the ...
Nature

Self-correcting quantum many-body control using reinforcement learning with tensor networks

Quantum many-body control is an essential prerequisite for the reliable operation of modern quantum technologies that are based on harnessing quantum correlations. For example, quantum computing often ...
The Conversation

What is reinforcement learning? An AI researcher explains a key method of teaching machines – and how it relates to training your dog

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...
News-Medical.Net

Researchers find flaw in AI models for sepsis treatment

AI is already boosting positive outcomes in healthcare and holds promise for delivering many more. It is important, however, ...