Unlike LLMs, we can’t scrape the internet for robot... data Announcing Project Go-Big: we’re building the world's largest humanoid pretraining dataset This is accelerated by our partnership with Brookfield, who owns over 100,000 residential unitsshow more

Figure is aiming to develop the world’s largest and... most diverse real-world humanoid pretraining dataset. For this purpose, they’re partnering with Brookfield, a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. The data collected from this collaboration will be used to train Figure’s Helix AI model, enabling humanoids to perform tasks autonomously in real-world environments designed for humans. In addition to data collection, the partnership will explore support for next-generation GPU data centers, real estate for robotic training environments, and commercial use cases across Brookfield’s global footprint.show more

What does a real humanoid robotics dataset actually look... like? Humanoid robots are expensive and complex, which makes their data unusually difficult to collect - and difficult for most people to get hands-on experience with. We previously shared a post on conversion code for the new Human in the Wild dataset by BitRobot 🦾, Hugging Face, and Unitree. Now we’re publishing the full HIW-500 data converted to RRD, so you can explore that data directly with Rerun. Watch the robot move. Inspect cameras and robot states together. Zoom in on a moment and query episodes through Rerun catalog! If you’re curious about a real-world humanoid dataset, HIW-500 is now a lot easier to explore. We share the conversion code along with our previous abc-130k dataset conversion example.show more

We’re thrilled to announce our largest payment partnership to... date with zerohash. Together, we are building the rails for money movement that will bring the world’s leading companies onto Plasma.show more

A Rerun Viewer for the DROID Dataset! DROID: A... Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by Alexander Khazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.show more

Honoured to welcome President Droupadi Murmu — the first... visit by an Indian head of state to Moldova. India, the world’s largest democracy, is a valued friend. We’re building a partnership that delivers real results for our people.show more

We’re excited to announce our integration with SKALE, a... high-performance, zero-gas blockchain purpose-built for speed, scale, and security. This partnership strengthens our infrastructure as we continue building transparent, trust-based systems for decentralized science. We’re excited about what this unlocks for researchers, contributors, and the future of data integrity in DeSci. 👀 Look out for more on how we’re using SKALE in the AxonDAO ecosystem.show more

It's been incredible to see neural networks working so... well on our humanoid robots Humanoids are crazy complex - an individual motor can rotate 360 degrees and you have 40+ joints. If you do the math, that means more possible robot states than atoms in the universe Figure has our own AI model called Helix that we've designed in-house. A single Helix neural network now outputs both manipulation and navigation, end-to-end from language and pixel input Every leap in machine learning has come from massive, diverse datasets. At Figure, we’re currently building the largest pretraining dataset for humanoids in history - excited to see what this unlocksshow more

Controlling a CM6 robot with a LEAP motion controller.... J2 of the robot is a bit underpowered but we mainly tested our algorithm here that we will implement on our other robots. Data is shared at 125Hz between robot and Leap over local network.show more

How can we more effectively leverage robot data from... different embodiments for skill transfer? Excited to share that our new work, RoVi-Aug, has been accepted to Conference on Robot Learning as an oral paper！ WIth RoVi-Aug, you can augment an existing robot dataset into a different robot and different viewpoints. A policy trained on the augmented dataset can zero-shot deploy on the unseen target robot with significantly different camera angles! 🧵👇 🔗 Check out our paper:show more

This is different. 上纬新材 w/ world's 1st transformational humanoid/dog robot.

World's first autonomous tennis-playing humanoid robot takes to the court

🥊 Chinese kid learns to control a boxing robot.... 🤖 Hangzhou is hosting the world's first humanoid fighting robot tournament right now! 🏆 Shenzhen is set to host the first full-sized humanoid fighting robot tournament in December.show more

JUST IN: 🇨🇳 China is building the world's largest... and most powerful astronomy base, investing over $550 million in massive telescopes and advanced facilities. It will become operational by 2030, the project will significantly expand humanity's ability to explore the universeshow more

OSINTdefender At Tianjin Winter Gala Festival in China, a... Unitree H1 humanoid robot malfunctioned and unexpectedly lunged toward a spectator who had extended their hand for a handshake. This is what our tech elite are racing toward: machines we can’t control, built by regimes we don’t trust.show more

Today we’re releasing SAIR, the Structurally Augmented IC50 Repository.... SAIR is the Largest Open-Sourced Binding Affinity Dataset with Cofolded 3D Structures. It includes more than 5 million protein-ligand structures, generated using our Large Quantitative Models and labeled with binding affinity data. By providing this unprecedented scale of structure-activity data, we aim to enable researchers to train and evaluate new AI models for drug discovery, bridging the historical gap between molecular structures and drug potency prediction. The SAIR dataset was created using the NVIDIA DGX Cloud and is now publicly available on the Google Cloud Platform. Access and build with SAIR today! 📰Read the Press Release: 📥Learn More and Download the Dataset at #DrugDiscovery #LQMs #SAIR #AIforScience #SandboxAQshow more

excited to announce that we’re open sourcing EGO-SNAKE the... largest dataset of egocentric snake pov footage to train the next generation of autonomous vipers comment for a data sampleshow more