Stanford's AI system guides robots autonomously on the ISS, enabling faster, safer navigation and task execution in space.

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ISS, laying the groundwork for more autonomous space missions.

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...

Stanford researchers have successfully demonstrated a machine-learning-based control system aboard the International Space ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Cloud ex Machina automates cloud optimization with AI to perform context discovery and generate code-ready fixes as pull requests, enabling engineering teams to eliminate cloud waste in minutes ...