The core of this research lies in the combination of Graph Neural Networks (GNN) and Reinforcement Learning to achieve coordinated control of up to eight robotic arms, enabling efficient and collision ...

This is the latest achievement published in the Science subjournal Science Robotics, proposed by research institutions ...

In operation and maintenance, which accounts for the majority of research, IoT sensors and Digital Twins enable real-time monitoring of building systems. When coupled with AI, these technologies drive ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

Robots that plan in seconds, adapt on the fly and work in sync. This AI could change how factories run. Read more!

An AI tool called RoboBallet could transform manufacturing by letting robotic arms plan movements together at scale, boosting ...

Instead of retraining the LLM, the agent consults a dynamic store of past outcomes to make smarter decisions for new tasks.

Scientists from University College London (UCL), Google DeepMind, and Intrinsic have developed an advanced artificial ...

For years, the race in artificial intelligence has been about scale. Bigger models, more GPUs, longer prompts. OpenAI, ...

Google sealed its acquisition of DeepMind in January 2014 for between $400 million and $500 million, securing a standout team ...