Загрузка видео...

Не удалось загрузить видео

На главную

FleetLab 1.0 is LIVE. Join us for the first-ever Saronic hackathon — where your code will run real autonomous boats. We are building autonomous surface vessels from the ground up — designing hardware, software, and autonomy systems in-house and deploying them at scale. FleetLab 1.0 puts you in the...

263,008 просмотров • 8 месяцев назад •via X (Twitter)

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

The Jetsons was the preview… the Sovereign Stack is the deployment... Flying cars… robot assistants… automated homes… intelligent transportation moving through the air, across the land and over the water… The technology looked like fantasy because the supporting architecture had not been revealed yet... AI, sensors, robotics, satellite communications, autonomous navigation, distributed energy and advanced manufacturing are now converging at once... Saronic’s $3.2 billion Port Alpha shipyard in South Texas brings the maritime layer into full view… large autonomous warships built from the keel up as intelligent, software defined platforms, coordinated through one command layer and produced at industrial scale... This connects everything I have been mapping… Palantir and xAI provide the intelligence… Starlink and the orbital layer provide the nervous system… Anduril controls the autonomous edge… Saronic extends that edge across the oceans… Golden Dome watches from above… autonomous factories, energy systems and logistics keep the entire network moving... One expensive ship becomes a distributed fleet of intelligent vessels capable of sensing, surveillance, defense, resupply and coordinated action across thousands of miles… fewer lives placed in danger, faster production, lower cost and overwhelming scale... Autonomy is becoming the operating system of transportation, defense and civilization itself… The Jetsons seeded the imagination… Port Alpha is pouring the concrete... the future is now... BQQM...

Observing Consciousness

14,820 просмотров • 3 месяцев назад

We’re partnering with Paul Jankura to launch the biggest Protein Design Competition in the world, challenging people around the world to use AI to design new potential drug candidates for diseases that affect millions of lives. The competition will feature five challenges, each focused on a specific disease or biological mechanism. Compared to previous competitions, it will be a big step-up in complexity and scale to push the boundaries of AI-driven protein design. Together with Anthropic, we’re sponsoring over $1 million in experimental validation, making it possible to test more than 5,000 protein designs in our automated lab at no cost to participants. Anthropic is providing an additional $1 million in Claude credits. All experimental results will be published openly on Proteinbase, including designs that didn’t work, so anyone can access the data and build on what we learn. The competition is open to everyone and free to enter. It will feature 3 tracks: - Track 1 is aimed at expert protein designers, with up to 20 teams to be selected. - Track 2 is targeting life science academics and industry researchers. - Track 3 is open to everyone from tech enthusiasts to high-school students. By combining Anthropic’s models with access to our automated lab, we want to make it possible for anyone with a laptop and an internet connection to join the global effort to advance human health with AI. A big thanks to Modal for contributing compute for protein design and to Twist Bioscience for contributing the DNA for the experimental validation! Sign up link below -

Adaptyv Bio

209,638 просмотров • 1 месяц назад

Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

Robora

23,540 просмотров • 1 год назад