Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Gen-3 Alpha exhibits several simulation capabilities, including the ability to generate dynamic camera motions, complex fluid motion, and interactions between objects. We expect further simulation capabilities to emerge as we continue to scale our models. To learn more about our long-term research efforts to build General World Models, visit:... show more

Runway

280,132 subscribers

154,107 Aufrufe • vor 1 Jahr •via X (Twitter)

Kunst Wissenschaft & Technologie Bildung

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

New Generation Model! 🚨 We're introducing the o3m model to our expanding lineup of generation models. While still in its beta phase, we're actively refining its output to push its capabilities even further. So far, we've observed a significant leap in physics calculations, AI-driven mechanics, and the overall fluidity of app and game interactions. As we continue to tweak and optimize, expect even greater advancements in precision, automation, and creative execution.

New Generation Model! 🚨 We're introducing the o3m model to our expanding lineup of generation models. While still in its beta phase, we're actively refining its output to push its capabilities even further. So far, we've observed a significant leap in physics calculations, AI-driven mechanics, and the overall fluidity of app and game interactions. As we continue to tweak and optimize, expect even greater advancements in precision, automation, and creative execution.

ALCHEMIST AI 🔮

17,314 Aufrufe • vor 1 Jahr

Today we're excited to share updates to Gen-3 Alpha Turbo that bring more control and the ability to generate vertical videos. Learn more below. (1/4)

Today we're excited to share updates to Gen-3 Alpha Turbo that bring more control and the ability to generate vertical videos. Learn more below. (1/4)

Runway

140,775 Aufrufe • vor 1 Jahr

Having seen a few comments, I’d like to clarify something. We haven’t used generative AI in the design team. We have the human capabilities to create what we want, and when our capabilities are limited, we learn and strive to achieve our goals

Having seen a few comments, I’d like to clarify something. We haven’t used generative AI in the design team. We have the human capabilities to create what we want, and when our capabilities are limited, we learn and strive to achieve our goals

Adrián San Gil | G2 Enelthion

222,262 Aufrufe • vor 3 Monaten

Sorry but this isn't even close to a realistic simulation. This Three.js water simulation took weeks of effort, hundreds of prompts, and I needed to pull on my CS and physics background to understand where the AI was failing (which happens often). Maybe some day agents will be able to generate complex simulations in a single prompt but for now they can only generate toy prototypes.

Sorry but this isn't even close to a realistic simulation. This Three.js water simulation took weeks of effort, hundreds of prompts, and I needed to pull on my CS and physics background to understand where the AI was failing (which happens often). Maybe some day agents will be able to generate complex simulations in a single prompt but for now they can only generate toy prototypes.

Dan Greenheck

16,327 Aufrufe • vor 4 Monaten

We are excited to launch our two models Pharia-1-LLM-7B-control and Pharia-1-LLM-7B-control-aligned. Both models and the code used to train them are now publicly available and open-sourced for non-commercial research and educational use. Read our model blog post here: Learn more about our open-source codebase Scaling: #writtenbyalephalpha

We are excited to launch our two models Pharia-1-LLM-7B-control and Pharia-1-LLM-7B-control-aligned. Both models and the code used to train them are now publicly available and open-sourced for non-commercial research and educational use. Read our model blog post here: Learn more about our open-source codebase Scaling: #writtenbyalephalpha

Aleph Alpha

44,326 Aufrufe • vor 1 Jahr

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 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

23,489 Aufrufe • vor 9 Monaten

We are entering an extremely exciting era for open-weight models. Kimi K2.6 now feels like a top agentic model. I took it for a spin via Fireworks AI fast inference APIs. Kimi K2.6 has impressive agentic capabilities, design skills, and the ability to synthesize large amounts of information. I built a little Skill that produces survey papers on any AI research topic you want. (see example in the clip) You can use the skill to tell your agent to generate a survey on whatever topic and watch it go to work. The artifact was fully generated by Kimi.ai's Kimi K2.6. It's cheap and fast. Next step for me is to explore ways to continue integrating the capabilities of these models on use cases like automating my LLM knowledge bases and augmenting my agent memory capabilities. Stay tuned for more.

We are entering an extremely exciting era for open-weight models. Kimi K2.6 now feels like a top agentic model. I took it for a spin via Fireworks AI fast inference APIs. Kimi K2.6 has impressive agentic capabilities, design skills, and the ability to synthesize large amounts of information. I built a little Skill that produces survey papers on any AI research topic you want. (see example in the clip) You can use the skill to tell your agent to generate a survey on whatever topic and watch it go to work. The artifact was fully generated by Kimi.ai's Kimi K2.6. It's cheap and fast. Next step for me is to explore ways to continue integrating the capabilities of these models on use cases like automating my LLM knowledge bases and augmenting my agent memory capabilities. Stay tuned for more.

elvis

47,678 Aufrufe • vor 2 Monaten

Can we use motion to prompt diffusion models? Our #ICLR2024 paper does just that. We propose Motion Guidance, a technique that allows users to edit an image by specifying “where things should move.”

Can we use motion to prompt diffusion models? Our #ICLR2024 paper does just that. We propose Motion Guidance, a technique that allows users to edit an image by specifying “where things should move.”

Daniel Geng

16,306 Aufrufe • vor 2 Jahren

World, meet our new brand. We’ve strengthened our consulting capabilities, dramatically expanded our design offer, and broadened our experience practice significantly to include retail, culture and workspace. We build brands designed to transform.

Landor

38,899 Aufrufe • vor 2 Jahren

Introducing ✨ Aya Vision ✨ - an open-weights model to connect our world through language and vision Aya Vision adds breakthrough multimodal capabilities to our state-of-the-art multilingual 8B and 32B models. 🌿

Introducing ✨ Aya Vision ✨ - an open-weights model to connect our world through language and vision Aya Vision adds breakthrough multimodal capabilities to our state-of-the-art multilingual 8B and 32B models. 🌿

Cohere Labs

206,570 Aufrufe • vor 1 Jahr

We have 6 different models of CNC machines already designed and validated for production but we would need crores to scale up production and offer it to other manufacturers. Hence, we only build machines for our own production facility. Capital is a bottleneck for us. Currently we just have a tiny space within our own factory which is our R&D lab. We are a team of mere three people. Scaling hardware isn’t easy but it’s something that must be done for us to truly be self-reliant. Really appreciate your efforts Sridhar Vembu to build these hardware tools here. We must build more factories and hardware products in the country. Long way to go before I sleep.

We have 6 different models of CNC machines already designed and validated for production but we would need crores to scale up production and offer it to other manufacturers. Hence, we only build machines for our own production facility. Capital is a bottleneck for us. Currently we just have a tiny space within our own factory which is our R&D lab. We are a team of mere three people. Scaling hardware isn’t easy but it’s something that must be done for us to truly be self-reliant. Really appreciate your efforts Sridhar Vembu to build these hardware tools here. We must build more factories and hardware products in the country. Long way to go before I sleep.

Vishakh Ranotra

12,538 Aufrufe • vor 1 Monat

Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering discuss: The correct insertion of virtual objects in images of real-world scenes requires a deep understanding of the scene's lighting, geometry and materials, as well as the image formation process. While recent large-scale diffusion models have shown strong generative and inpainting capabilities, we find that current models do not sufficiently "understand" the scene shown in a single picture to generate consistent lighting effects (shadows, bright reflections, etc.) while preserving the identity and details of the composited object. We propose using a personalized large diffusion model as guidance to a physically based inverse rendering process. Our method recovers scene lighting and tone-mapping parameters, allowing the photorealistic composition of arbitrary virtual objects in single frames or videos of indoor or outdoor scenes. Our physically based pipeline further enables automatic materials and tone-mapping refinement.

Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering discuss: The correct insertion of virtual objects in images of real-world scenes requires a deep understanding of the scene's lighting, geometry and materials, as well as the image formation process. While recent large-scale diffusion models have shown strong generative and inpainting capabilities, we find that current models do not sufficiently "understand" the scene shown in a single picture to generate consistent lighting effects (shadows, bright reflections, etc.) while preserving the identity and details of the composited object. We propose using a personalized large diffusion model as guidance to a physically based inverse rendering process. Our method recovers scene lighting and tone-mapping parameters, allowing the photorealistic composition of arbitrary virtual objects in single frames or videos of indoor or outdoor scenes. Our physically based pipeline further enables automatic materials and tone-mapping refinement.

AK

19,101 Aufrufe • vor 1 Jahr

Working the water simulation for 🌳🏡Island Architect🏡🌳, my relaxing sandbox building game. The interaction between the water and simulation is starting to work well, allowing you to build dams and aqueducts!

Working the water simulation for 🌳🏡Island Architect🏡🌳, my relaxing sandbox building game. The interaction between the water and simulation is starting to work well, allowing you to build dams and aqueducts!

Björn Ottosson - making Island Architect

20,105 Aufrufe • vor 13 Tagen

Landed in Canberra to meet with Prime Minister Anthony Albanese. This is the first bilateral visit by a Canadian PM to Australia in two decades. In a more uncertain world, we turn to our long-standing partners who share our values and our ambition to build.

Landed in Canberra to meet with Prime Minister Anthony Albanese. This is the first bilateral visit by a Canadian PM to Australia in two decades. In a more uncertain world, we turn to our long-standing partners who share our values and our ambition to build.

Mark Carney

122,835 Aufrufe • vor 4 Monaten

Check out what our team created with the new LTX Trainer! 👇 Water Simulation Add rivers, surf, rain, floods, or splashes to any shot while preserving composition and motion (1/10)

Check out what our team created with the new LTX Trainer! 👇 Water Simulation Add rivers, surf, rain, floods, or splashes to any shot while preserving composition and motion (1/10)

LTX.io

3,288,617 Aufrufe • vor 21 Tagen

(1/n) 🚀 With FastVideo, you can now generate a 5-second video in 5 seconds on a single H200 GPU! Introducing FastWan series, a family of fast video generation models trained via a new recipe we term as “sparse distillation”, to speed up video denoising time by 70X! 🖥️ Live demo: (Thanks to @gmicloud for the support!) 🔗 Blog: 🔓 We fully open-source our models, code, and data with Apache-2.0 licenses

(1/n) 🚀 With FastVideo, you can now generate a 5-second video in 5 seconds on a single H200 GPU! Introducing FastWan series, a family of fast video generation models trained via a new recipe we term as “sparse distillation”, to speed up video denoising time by 70X! 🖥️ Live demo: (Thanks to @gmicloud for the support!) 🔗 Blog: 🔓 We fully open-source our models, code, and data with Apache-2.0 licenses

Hao AI Lab

78,660 Aufrufe • vor 11 Monaten

We continue to learn, to grow, to expand our territory, sphere of influence and build bridges across generations, class, tribe and ideology. It has been a long journey, it has been an amazing journey. Together we can. #ourlagos

We continue to learn, to grow, to expand our territory, sphere of influence and build bridges across generations, class, tribe and ideology. It has been a long journey, it has been an amazing journey. Together we can. #ourlagos

Gbadebo Rhodes-Vivour

11,276 Aufrufe • vor 1 Monat

Today, we released Lyra 2.0, a framework for generating persistent, explorable 3D worlds at scale, from NVIDIA Research. Generating large-scale, complex environments is difficult for AI models. Current models often “forget” what spaces look like and lose track of movement over time, causing objects to shift, blur, or appear inconsistent. This prevents them from creating the reliable 3D environments required for downstream simulations. Lyra 2.0 solves these issues by: ✅ Maintaining per-frame 3D geometry to retrieve past frames and establish spatial correspondences ✅ Using self-augmented training to correct its own temporal drifting. Lyra 2.0 turns an image into a 3D world you can walk through, look back, and drop a robot into for real-time rendering, simulation, and immersive applications. ➡️ Learn more: 📄 Read the paper:

Today, we released Lyra 2.0, a framework for generating persistent, explorable 3D worlds at scale, from NVIDIA Research. Generating large-scale, complex environments is difficult for AI models. Current models often “forget” what spaces look like and lose track of movement over time, causing objects to shift, blur, or appear inconsistent. This prevents them from creating the reliable 3D environments required for downstream simulations. Lyra 2.0 solves these issues by: ✅ Maintaining per-frame 3D geometry to retrieve past frames and establish spatial correspondences ✅ Using self-augmented training to correct its own temporal drifting. Lyra 2.0 turns an image into a 3D world you can walk through, look back, and drop a robot into for real-time rendering, simulation, and immersive applications. ➡️ Learn more: 📄 Read the paper:

NVIDIA AI Developer

434,616 Aufrufe • vor 2 Monaten

Seedream 4.0 supports deep intention understanding. More powerful inference capabilities, enabling cross-time and space prediction and simulation to make the unseen visible. Learn More: #Seedream #AI #GenAI #BytePlus #ByteDance

Seedream 4.0 supports deep intention understanding. More powerful inference capabilities, enabling cross-time and space prediction and simulation to make the unseen visible. Learn More: #Seedream #AI #GenAI #BytePlus #ByteDance

BytePlus

17,608 Aufrufe • vor 9 Monaten