

Physical Intelligence
Overview :
Physical Intelligence (π) is a team of engineers, scientists, roboticists, and company builders dedicated to developing foundational models and learning algorithms to drive today's robotics and future physically driven devices. The team aims to apply general AI technologies to the physical world, fostering the development and innovation of robotics.
Target Users :
The target audience comprises engineers, scientists, entrepreneurs, and investors interested in artificial intelligence, robotics, automation, and future technologies. This product or technology is suited for them as it provides a platform to collaboratively explore and develop solutions for applying AI technologies to the physical world, advancing relevant technologies and commercialization.
Use Cases
Engineers utilize algorithms developed by Physical Intelligence (π) to optimize motion control for robots.
Scientists employ models from the platform to simulate and predict scenarios in the physical world.
Entrepreneurs drive the development of new automated devices through the technologies of Physical Intelligence (π).
Features
Develop foundational models and learning algorithms: Providing intelligent support for robotics and physically driven devices.
Advance robotics technology: Enhancing the performance and intelligence of robots through advanced algorithms and models.
Interdisciplinary collaboration: Bringing together experts from various fields such as engineering, science, and robotics for joint research and development.
Development of future devices: Focusing on the future by creating devices capable of performing physical actions.
Sharing information and knowledge: Planning to make more information public to promote academic exchanges and technology sharing.
Team expansion: Continuously recruiting talent interested in Physical Intelligence to join the team.
How to Use
1. Visit the official website of Physical Intelligence (π).
2. Browse the information available on the team, technologies, and development plans.
3. If interested in joining the team, reach out via the links provided on the website.
4. Follow Physical Intelligence (π) on Twitter to stay updated.
5. Read blog posts to learn about the team's latest research achievements and technological advancements.
6. If you are interested in collaboration, you can get in touch with the team through the contact information provided on the website.
Featured AI Tools

Tensorpool
TensorPool is a cloud GPU platform dedicated to simplifying machine learning model training. It provides an intuitive command-line interface (CLI) enabling users to easily describe tasks and automate GPU orchestration and execution. Core TensorPool technology includes intelligent Spot instance recovery, instantly resuming jobs interrupted by preemptible instance termination, combining the cost advantages of Spot instances with the reliability of on-demand instances. Furthermore, TensorPool utilizes real-time multi-cloud analysis to select the cheapest GPU options, ensuring users only pay for actual execution time, eliminating costs associated with idle machines. TensorPool aims to accelerate machine learning engineering by eliminating the extensive cloud provider configuration overhead. It offers personal and enterprise plans; personal plans include a $5 weekly credit, while enterprise plans provide enhanced support and features.
Model Training and Deployment
307.5K
English Picks

Ollama
Ollama is a local large language model tool that allows users to quickly run Llama 2, Code Llama, and other models. Users can customize and create their own models. Ollama currently supports macOS and Linux, with a Windows version coming soon. The product aims to provide users with a localized large language model runtime environment to meet their personalized needs.
Model Training and Deployment
272.1K