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Put Computer Vision on Autopilot. Generate data. Label it. Train models. Evaluate every candidate. Deploy the winner. Automatically. Score Studio waitlist is open →

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Score

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12,002 görüntüleme • 11 gün önce •via X (Twitter)

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Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operational intelligence in factories, cities, warehouses and transportation systems. See how Roboflow, DeepHow, and Linker Vision use NVIDIA Cosmos and NVIDIA Metropolis to generate synthetic data, fine-tune vision models faster, and deploy vision agents at scale. 📰 Read the blog:
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Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operational intelligence in factories, cities, warehouses and transportation systems. See how Roboflow, DeepHow, and Linker Vision use NVIDIA Cosmos and NVIDIA Metropolis to generate synthetic data, fine-tune vision models faster, and deploy vision agents at scale. 📰 Read the blog:

NVIDIA Omniverse

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Just dropped two new tools in Score Studio today: → Real-time depth estimation + object detection on the same frame. → Background removal. Next… 3D point clouds Score Studio is going to become the go-to platform for anything vision: ✅ Auto-Data Generation ✅ Auto-Training ✅ Auto-Evals ✅ Auto-Deploy All battle-tested by miners. All powered by Bittensor.
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Just dropped two new tools in Score Studio today: → Real-time depth estimation + object detection on the same frame. → Background removal. Next… 3D point clouds Score Studio is going to become the go-to platform for anything vision: ✅ Auto-Data Generation ✅ Auto-Training ✅ Auto-Evals ✅ Auto-Deploy All battle-tested by miners. All powered by Bittensor.

Score

16,584 görüntüleme • 18 gün önce

Presenting the world’s first autonomous, on-demand data network for specialized AI models. Turf DevNet is live on the Avalanche🔺 network🔺 Builders can now use contextual Data Feeds to train smarter AI 🧵
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Presenting the world’s first autonomous, on-demand data network for specialized AI models. Turf DevNet is live on the Avalanche🔺 network🔺 Builders can now use contextual Data Feeds to train smarter AI 🧵

TURF

15,139 görüntüleme • 1 yıl önce

it's over.. this AI agent can build AI apps now I just used Emergent AI to build an AI studio w/o censorship, it can generate and edit images using text and.. you can add any open source models to the studio more examples:
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it's over.. this AI agent can build AI apps now I just used Emergent AI to build an AI studio w/o censorship, it can generate and edit images using text and.. you can add any open source models to the studio more examples:

el.cine

280,948 görüntüleme • 1 yıl önce

If you use the /3d command in Omma, it will generate a 3D model and automatically place it in a 3D scene, all in one shot. The resulting GLB model is automatically compressed and optimized. (demo on this thread)
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If you use the /3d command in Omma, it will generate a 3D model and automatically place it in a 3D scene, all in one shot. The resulting GLB model is automatically compressed and optimized. (demo on this thread)

Omma AI

45,704 görüntüleme • 5 ay önce

AI runs on data. Your data. Tech giants scrape the internet, collect user interactions, and buy datasets to train their models. Now, platforms are charging companies to access the data you created. It doesn't have to be this way. Join the data revolution. Own your data, own your impact.
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AI runs on data. Your data. Tech giants scrape the internet, collect user interactions, and buy datasets to train their models. Now, platforms are charging companies to access the data you created. It doesn't have to be this way. Join the data revolution. Own your data, own your impact.

vana

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When the Boeing 787 operates on autopilot, its sophisticated flight control system manages the flaperons to maintain stable flight, particularly during turbulence. The system continuously receives data from various sensors, including airspeed indicators, inertial navigation systems, and accelerometers. When turbulence is detected, the autopilot system automatically adjusts the position of the flaperons to counteract any rolling motions caused by gusts or disturbances in the airflow.
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When the Boeing 787 operates on autopilot, its sophisticated flight control system manages the flaperons to maintain stable flight, particularly during turbulence. The system continuously receives data from various sensors, including airspeed indicators, inertial navigation systems, and accelerometers. When turbulence is detected, the autopilot system automatically adjusts the position of the flaperons to counteract any rolling motions caused by gusts or disturbances in the airflow.

Aviation

417,221 görüntüleme • 1 yıl önce

When the Boeing 787 operates on autopilot, its sophisticated flight control system manages the flaperons to maintain stable flight, particularly during turbulence. The system continuously receives data from various sensors, including airspeed indicators, inertial navigation systems, and accelerometers. When turbulence is detected, the autopilot system automatically adjusts the position of the flaperons to counteract any rolling motions caused by gusts or disturbances in the airflow.
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When the Boeing 787 operates on autopilot, its sophisticated flight control system manages the flaperons to maintain stable flight, particularly during turbulence. The system continuously receives data from various sensors, including airspeed indicators, inertial navigation systems, and accelerometers. When turbulence is detected, the autopilot system automatically adjusts the position of the flaperons to counteract any rolling motions caused by gusts or disturbances in the airflow.

Aviation

633,194 görüntüleme • 8 ay önce

there's no catch; SAM3 is open source and really good one of the things it does really well is object tracking, even in crazy complex scenes like basketball probably my favorite computer vision model ever
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there's no catch; SAM3 is open source and really good one of the things it does really well is object tracking, even in crazy complex scenes like basketball probably my favorite computer vision model ever

SkalskiP

1,476,993 görüntüleme • 3 ay önce

Robotics has a dirty secret. The biggest bottleneck isn't hardware. It isn't compute. It's data. And right now, only a handful of corporations can afford to generate it... $ROBA No Code Studio is about to change that. 🧵(1/8)
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Robotics has a dirty secret. The biggest bottleneck isn't hardware. It isn't compute. It's data. And right now, only a handful of corporations can afford to generate it... $ROBA No Code Studio is about to change that. 🧵(1/8)

Roba Labs

23,621 görüntüleme • 4 ay önce

world models have their comfyui now. introducing alakazam studio, the first local, open source UI for world models. •⁠ ⁠sentence goes in => you edit the state graph => play •⁠ ⁠on a live model, yours, running in your browser •⁠ ⁠⁠apache-2.0, fully open source fork it and point it at your model 👇
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world models have their comfyui now. introducing alakazam studio, the first local, open source UI for world models. •⁠ ⁠sentence goes in => you edit the state graph => play •⁠ ⁠on a live model, yours, running in your browser •⁠ ⁠⁠apache-2.0, fully open source fork it and point it at your model 👇

hugo

26,101 görüntüleme • 24 gün önce

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 #SandboxAQ
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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 #SandboxAQ

SandboxAQ

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Our open-source RAG app, Verba, can now run Ollama models locally to embed documents into Weaviate and generate answers without your data leaving your device! I tested it with Llama3, and it works great + super quickly on my M2; In this recording, I'm doing a little Verba-ception, asking Verba what Verba is 🤤 You can also use open-source models like Mistral, Claude, or your own custom LLMs. This will make doing RAG with sensitive data possible since you won't depend on APIs anymore. Looking forward to everyone trying it out 🤗 Update's coming next week!
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Our open-source RAG app, Verba, can now run Ollama models locally to embed documents into Weaviate and generate answers without your data leaving your device! I tested it with Llama3, and it works great + super quickly on my M2; In this recording, I'm doing a little Verba-ception, asking Verba what Verba is 🤤 You can also use open-source models like Mistral, Claude, or your own custom LLMs. This will make doing RAG with sensitive data possible since you won't depend on APIs anymore. Looking forward to everyone trying it out 🤗 Update's coming next week!

Edward

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Nobody’s brought it up yet so I guess I will This movie was produced under a Sony Pictures-exclusive studio label called Jim Henson Pictures, which includes this spectacular vanity plate Sucks the studio didn’t last very long because this is very well put together
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Nobody’s brought it up yet so I guess I will This movie was produced under a Sony Pictures-exclusive studio label called Jim Henson Pictures, which includes this spectacular vanity plate Sucks the studio didn’t last very long because this is very well put together

Zac

186,462 görüntüleme • 6 ay önce

Dexter now renders tables automatically. When an answer includes tabular data, the UI is generated on the fly. This makes it much easier to scan earnings, metrics, and comparisons.
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Dexter now renders tables automatically. When an answer includes tabular data, the UI is generated on the fly. This makes it much easier to scan earnings, metrics, and comparisons.

virat

11,496 görüntüleme • 7 ay önce

Introducing NoCodeFusion - the AI Copilot for Bubble developers! 🥳 Watch it in action below. Generate design snippets by prompting the AI. It's built on a component system, so you can manually add elements as well. Oh yeah, it also generates custom plugins 👀 This is the future of software development. No-code developers empowered by AI. The waitlist is now open at I'll slowly be granting access ✌️
0:15

Introducing NoCodeFusion - the AI Copilot for Bubble developers! 🥳 Watch it in action below. Generate design snippets by prompting the AI. It's built on a component system, so you can manually add elements as well. Oh yeah, it also generates custom plugins 👀 This is the future of software development. No-code developers empowered by AI. The waitlist is now open at I'll slowly be granting access ✌️

Peter Kwitny

10,262 görüntüleme • 1 yıl önce

How fast is RISE? It’s the fastest chain, on every continent. Based on data from around the world on Chain Derby. Try it for yourself
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How fast is RISE? It’s the fastest chain, on every continent. Based on data from around the world on Chain Derby. Try it for yourself

RISE

57,254 görüntüleme • 1 yıl önce

Perplexity Computer in 60 seconds: 1. It's a cloud-based AI employee that runs tasks in the background. 2. 19 models working together. Claude for reasoning, GPT-5.2 for research, Grok for speed tasks. You don't pick. It routes automatically. 3. 400+ connectors. Gmail, Slack, Notion, Salesforce, HubSpot. One click to enable each. 4. Credits, not tokens. Simple tasks cost ~30. Complex builds cost 1,000+. Vague prompts waste them. Specific prompts save them. 5. Spaces = persistent project folders. Upload context once, every task inherits it. 6. Scheduled tasks run on autopilot. "Every Monday, prep my calendar." Set it and forget it. The PRD hack alone (in the article) will save you hundreds in credits. Full breakdown in the article below.
0:17

Perplexity Computer in 60 seconds: 1. It's a cloud-based AI employee that runs tasks in the background. 2. 19 models working together. Claude for reasoning, GPT-5.2 for research, Grok for speed tasks. You don't pick. It routes automatically. 3. 400+ connectors. Gmail, Slack, Notion, Salesforce, HubSpot. One click to enable each. 4. Credits, not tokens. Simple tasks cost ~30. Complex builds cost 1,000+. Vague prompts waste them. Specific prompts save them. 5. Spaces = persistent project folders. Upload context once, every task inherits it. 6. Scheduled tasks run on autopilot. "Every Monday, prep my calendar." Set it and forget it. The PRD hack alone (in the article) will save you hundreds in credits. Full breakdown in the article below.

Corey Ganim

106,105 görüntüleme • 5 ay önce