Remove categories appliances
article thumbnail

Robots Get a ‘Gripping’ Upgrade: AO-Grasp Teaches Bots the Art of Not Dropping Your Stuff!

Marktechpost

AO-Grasp has been shown to improve success rates over existing methods in both synthetic and real-world scenarios, enabling robots to interact with cabinets and appliances effectively. The proposed method tackles the challenge of interacting with articulated objects like cabinets and appliances, which have movable parts.

Robotics 127
article thumbnail

Designing Societally Beneficial Reinforcement Learning Systems

BAIR

To continue the thermostat example, as a ‘smart thermostat’ continues to adapt its behavior over time, the behavior of other adjacent systems in a household might change in response - for instance other appliances might consume more electricity due to increased heat levels, which could impact electricity costs.

Robotics 147
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Foundational models at the edge

IBM Journey to AI blog

These can broadly be described in two categories: Time/cost to deploy: Each deployment consists of several layers of hardware and software that need to be installed, configured and tested prior to deployment.

article thumbnail

Inside Microsoft’s Phi-3 Mini: A Lightweight AI Model Punching Above Its Weight

Unite.AI

To further enhance its safety profile, Phi-3 Mini has been subjected to extensive red-teaming and automated testing across dozens of RAI harm categories. This process covers chat format data, reasoning tasks, and responsible AI (RAI) efforts, ensuring that Phi-3 Mini adheres to Microsoft's principles of ethical and trustworthy AI.