AI at Meta(@AIatMeta)

We heard you and are happy to announce that Muse Spark 1.1 is now available on @OpenRouter for US-ba...

AI at Meta (@AIatMeta) — Thu, 16 Jul 2026 17:17:39 GMT

We heard you and are happy to announce that Muse Spark 1.1 is now available on @OpenRouter for US-based developers. 

We look forward to seeing what the community builds.

Lorenzo Nuvoletta@nuvolore

@OpenRouter when Muse Spark 1.1?

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Get started: https://t.co/ZkRx8Swu9P

AI at Meta (@AIatMeta) — Thu, 16 Jul 2026 17:17:39 GMT

Get started: go.meta.me/e3b99d

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To demonstrate Meta AI's advanced reasoning and multimodal capabilities, we submitted a model to par...

AI at Meta (@AIatMeta) — Tue, 14 Jul 2026 21:09:57 GMT

To demonstrate Meta AI's advanced reasoning and multimodal capabilities, we submitted a model to participate in the Asian Physics Olympiad’s theoretical exam. We’re happy to share that our model achieved a perfect score of 30/30, tying with the top 3 student contestants.

We appreciate the APhO committee for letting our model participate in the competition:  apho2026.kr/en/index.html

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We gave a few leaders early access to Muse Spark 1.1, here's what they had to say:

AI at Meta (@AIatMeta) — Thu, 09 Jul 2026 19:53:11 GMT

We gave a few leaders early access to Muse Spark 1.1, here's what they had to say:

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@WorldsByMike @whylifeis4 Find the Meta Model API here: https://t.co/CyWvhTE540

AI at Meta (@AIatMeta) — Thu, 09 Jul 2026 14:31:21 GMT

@WorldsByMike@whylifeis4 Find the Meta Model API here: developer.meta.com/ai/products/me…

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Muse Spark 1.1 also excels in perception and multimodal reasoning, inspecting visual and audio input...

AI at Meta (@AIatMeta) — Thu, 09 Jul 2026 14:10:41 GMT

Muse Spark 1.1 also excels in perception and multimodal reasoning, inspecting visual and audio inputs, preserving details across long workflows, and acting on them in real execution environments. It shows particular strengths in visual-to-code generation, rich image/video captioning, and agentic computer use.

In this demo, using video shot from a smartphone, Muse Spark 1.1 extracts useful photos and reasons about the product to operate a user's browser and make a Facebook Marketplace listing on the user's behalf.

Your browser does not support the video tag.

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Muse Spark 1.1 is used across Meta in coding and research workflows, scoring competitively with lead...

AI at Meta (@AIatMeta) — Thu, 09 Jul 2026 14:10:40 GMT

Muse Spark 1.1 is used across Meta in coding and research workflows, scoring competitively with leading models on Meta's internal coding benchmark.

Our researchers are now automating model development and evaluation tasks by leveraging Muse Spark 1.1 in their workflows.

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Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and...

AI at Meta (@AIatMeta) — Thu, 09 Jul 2026 14:10:38 GMT

Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding.

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We’re excited to introduce Muse Spark 1.1, a significant upgrade from the first Muse Spark model we ...

AI at Meta (@AIatMeta) — Thu, 09 Jul 2026 14:10:37 GMT

We’re excited to introduce Muse Spark 1.1, a significant upgrade from the first Muse Spark model we released earlier this year.

Along with this release, we are launching a public preview of the new Meta Model API where developers can access Muse Spark 1.1.

The model is also available now in "Thinking" mode in the Meta AI app and on meta.ai.

Learn more: go.meta.me/ff8e2c

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Straight from @finkd — Muse Spark 1.1 is live.

AI at Meta (@AIatMeta) — Thu, 09 Jul 2026 14:00:55 GMT

Straight from @finkd — Muse Spark 1.1 is live.

Mark Zuckerberg@finkd

(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.

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Alongside the release of Muse Image, we’re sharing an early preview of Muse Video. It offers competi...

AI at Meta (@AIatMeta) — Tue, 07 Jul 2026 21:02:45 GMT

Alongside the release of Muse Image, we’re sharing an early preview of Muse Video. It offers competitive performance in prompt adherence, visual fidelity, and temporal consistency.

We’re investing in areas with current performance gaps, such as audio-video synchronization and physically accurate fast motion.

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AI at Meta@AIatMeta

Introducing Muse Image and Muse Video, the first media generation models developed by Meta Superintelligence Labs.

Muse Image is our most advanced image generation model yet. It follows instructions faithfully, edits with precision, composes from multiple references, and draws on Instagram for social context. It also brings agentic tool use capabilities to image generation and integrates with Muse Spark.

You can try Muse Image in the Meta AI app and web, as well as in Instagram Stories and WhatsApp – starting in limited countries with more locations on the way.

Today we’re also previewing Muse Video, which is built upon the same pretraining base as Muse Image to deliver exceptional visual fidelity with native audio support.

Learn more about both models: go.meta.me/7f4427

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Content Seal is built into the Meta AI app and https://t.co/wHkMPH7va9 — every generated image carri...

AI at Meta (@AIatMeta) — Tue, 07 Jul 2026 20:14:30 GMT

Content Seal is built into the Meta AI app and meta.ai — every generated image carries a hidden provenance signal that stays intact through cropping, compression, and resizing.

We are previewing a public identification tool to verify the presence of this watermark on images created by the Meta AI app or meta.ai: meta.ai/identification

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Muse Image demonstrates emergent self-refinement within its chain of thought, adaptively executing l...

AI at Meta (@AIatMeta) — Tue, 07 Jul 2026 20:14:29 GMT

Muse Image demonstrates emergent self-refinement within its chain of thought, adaptively executing local edits, complete re-generation, or tool use. Rather than being explicitly programmed, this behavior emerged during RL training as a strategy to optimize image quality and maximize reward.

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Muse Image thinks before it creates. Driven by reinforcement learning, the model utilizes test-time ...

AI at Meta (@AIatMeta) — Tue, 07 Jul 2026 20:14:28 GMT

Muse Image thinks before it creates. Driven by reinforcement learning, the model utilizes test-time compute to achieve predictable, log-linear Elo scaling based on the combined total of text and visual tokens.

Allocating test-time compute to this deliberate reasoning and tool execution yields significantly better scalability than standard Best-of-N sampling.

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Muse Image works as an agent rather than a direct prompt-to-image model: it invokes tools, self-refi...

AI at Meta (@AIatMeta) — Tue, 07 Jul 2026 20:14:25 GMT

Muse Image works as an agent rather than a direct prompt-to-image model: it invokes tools, self-refines, improves with scaled test-time compute, and pairs with Muse Spark for collaborative media generation.

🧵👇

AI at Meta@AIatMeta

Introducing Muse Image and Muse Video, the first media generation models developed by Meta Superintelligence Labs.

Muse Image is our most advanced image generation model yet. It follows instructions faithfully, edits with precision, composes from multiple references, and draws on Instagram for social context. It also brings agentic tool use capabilities to image generation and integrates with Muse Spark.

You can try Muse Image in the Meta AI app and web, as well as in Instagram Stories and WhatsApp – starting in limited countries with more locations on the way.

Today we’re also previewing Muse Video, which is built upon the same pretraining base as Muse Image to deliver exceptional visual fidelity with native audio support.

Learn more about both models: go.meta.me/7f4427

Your browser does not support the video tag.

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Introducing Muse Image and Muse Video, the first media generation models developed by Meta Superinte...

AI at Meta (@AIatMeta) — Tue, 07 Jul 2026 19:33:53 GMT

Introducing Muse Image and Muse Video, the first media generation models developed by Meta Superintelligence Labs.

Muse Image is our most advanced image generation model yet. It follows instructions faithfully, edits with precision, composes from multiple references, and draws on Instagram for social context. It also brings agentic tool use capabilities to image generation and integrates with Muse Spark.

You can try Muse Image in the Meta AI app and web, as well as in Instagram Stories and WhatsApp – starting in limited countries with more locations on the way.

Today we’re also previewing Muse Video, which is built upon the same pretraining base as Muse Image to deliver exceptional visual fidelity with native audio support.

Learn more about both models: go.meta.me/7f4427

Your browser does not support the video tag.

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@bcbl_ For clarification, Brain2Qwerty v1 was published earlier today in @NatureNeuro.

AI at Meta (@AIatMeta) — Mon, 29 Jun 2026 13:07:04 GMT

@bcbl_ For clarification, Brain2Qwerty v1 was published earlier today in @NatureNeuro.

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To help accelerate neuroscience breakthroughs, we're releasing the full training code for Brain2Qwer...

AI at Meta (@AIatMeta) — Mon, 29 Jun 2026 12:10:19 GMT

To help accelerate neuroscience breakthroughs, we're releasing the full training code for Brain2Qwerty v1 and v2, and our partner, @bcbl_, is releasing the v1 dataset.

Learn more and explore the artifacts here: go.meta.me/42ed9c

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We trained Brain2Qwerty v2 on ~22,000 sentences from 9 volunteers, each recorded for 10 hours wearin...

AI at Meta (@AIatMeta) — Mon, 29 Jun 2026 12:10:18 GMT

We trained Brain2Qwerty v2 on ~22,000 sentences from 9 volunteers, each recorded for 10 hours wearing an MEG device while typing.

By using end-to-end deep learning on raw brain signals from MEG devices and fine-tuning LLMs, the system effectively bridges the gap between noisy neural data and coherent language.

The results are promising:
- Avg word accuracy of 61% across participants
- 78% word accuracy and 50%+ of sentences decoded with ≤ 1 word error for the top-performing participant
- Performance scales log-linearly with data volume

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We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwe...

AI at Meta (@AIatMeta) — Mon, 29 Jun 2026 12:10:17 GMT

We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwerty v2.

Building on v1, which was published today in @Nature, Brain2Qwerty v2 is the highest-performing end-to-end pipeline capable of real-time sentence decoding from raw brain signals. It advances beyond character-level performance to decoding words and semantics, enabling accuracy for overall communication.

We believe this research has the potential to make a real difference for the millions of people who suffer from brain lesions or disorders that prevent them from communicating.

🧵👇

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Big congrats to our SAM 3D team for receiving a Best Paper Honorable Mention at #CVPR26! This presti...

AI at Meta (@AIatMeta) — Fri, 05 Jun 2026 15:33:22 GMT

Big congrats to our SAM 3D team for receiving a Best Paper Honorable Mention at #CVPR26! This prestigious recognition underscores their incredible work pushing the boundaries of computer vision.

Read the paper here: arxiv.org/abs/2511.16624

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Today we’re announcing an agreement with Amazon Web Services to bring tens of millions of AWS Gravit...

AI at Meta (@AIatMeta) — Fri, 24 Apr 2026 12:03:30 GMT

Today we’re announcing an agreement with Amazon Web Services to bring tens of millions of AWS Graviton cores to our compute portfolio.

This partnership marks an expansion of our diversified AI infrastructure and will help scale systems behind Meta AI and agentic experiences that serve billions of people.

Learn more: go.meta.me/2bc5c5

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🔜

AI at Meta (@AIatMeta) — Fri, 10 Apr 2026 14:54:45 GMT

🔜

Alexandr Wang@alexandr_wang

the muse spark API will be coming soon!

we have been thrilled with the amount of excitement amongst developers who want to try muse spark inside their agentic harnesses

stay tuned!

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Try Muse Spark today via the Meta AI app or https://t.co/SSo3nt4aQ4.

AI at Meta (@AIatMeta) — Thu, 09 Apr 2026 21:52:29 GMT

Try Muse Spark today via the Meta AI app or meta.ai.

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5/ https://t.co/mtEUo3Appi

AI at Meta (@AIatMeta) — Thu, 09 Apr 2026 21:52:28 GMT

5/ x.com/Nain1sh/status…

Nainish Rai@Nain1sh

That clip is the part most people will underestimate.

Image-to-code was already impressive

What Meta’s Muse Spark seems to be doing is one level higher: 

it’s not just recreating pixels, it’s inferring product logic.

I gave it a calendar screenshot and I am blown

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Check out some cool ways the community has been putting Muse Spark to work (and play) 🧵👇 1/ https...

AI at Meta (@AIatMeta) — Thu, 09 Apr 2026 21:52:26 GMT

Check out some cool ways the community has been putting Muse Spark to work (and play) 🧵👇

1x.com/skirano/status…7O

Pietro Schirano@skirano

Ok this is actually pretty impressive and I truly didn't see any model doing this before or being able to do it to this extent.

When I asked Muse Spark from Meta to convert this image into code, it cut out the assets from the screens so it could use them correctly!

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To spend more test-time reasoning without drastically increasing latency, we can scale the number of...

AI at Meta (@AIatMeta) — Wed, 08 Apr 2026 17:09:01 GMT

To spend more test-time reasoning without drastically increasing latency, we can scale the number of parallel agents that collaborate to solve hard problems. While standard test-time scaling has a single agent think for longer, scaling Muse Spark with multi-agent thinking enables superior performance with comparable latency.

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With Muse Spark, we are on a predictable and efficient scaling trajectory. We look forward to sharin...

AI at Meta (@AIatMeta) — Wed, 08 Apr 2026 17:09:01 GMT

With Muse Spark, we are on a predictable and efficient scaling trajectory. We look forward to sharing increasingly capable models on the path to personal superintelligence soon.

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To build personal superintelligence, our model’s capabilities should scale predictably and efficient...

AI at Meta (@AIatMeta) — Wed, 08 Apr 2026 17:08:59 GMT

To build personal superintelligence, our model’s capabilities should scale predictably and efficiently. Below, we share how we study and track Muse Spark’s scaling properties along three axes: pretraining, reinforcement learning, and test-time reasoning. 🧵👇

Let’s start with pretraining. Over the last 9 months, we rebuilt our pretraining stack with improvements to model architecture, optimization, and data curation, enabling us to increase the capability we can extract from every unit of compute. To rigorously evaluate our new recipe, we fit a scaling law to a series of small models and compare the training FLOPs required to hit a specific level of performance.

The results: we can reach the same capabilities with over an order of magnitude less compute than our previous model, Llama 4 Maverick, making Muse Spark significantly more efficient than the leading base models available for comparison.

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Muse Spark is built from the ground up to integrate visual information across domains and tools. It ...

AI at Meta (@AIatMeta) — Wed, 08 Apr 2026 16:05:25 GMT

Muse Spark is built from the ground up to integrate visual information across domains and tools. It achieves strong performance on visual STEM questions, entity recognition, and localization, enabling interactive experiences like troubleshooting your home appliances with dynamic annotations.

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Personal superintelligence will help people learn about their health. We collaborated with 1,000+ ph...

AI at Meta (@AIatMeta) — Wed, 08 Apr 2026 16:05:25 GMT

Personal superintelligence will help people learn about their health. We collaborated with 1,000+ physicians to curate training data that enables more factual and comprehensive responses. It can generate interactive displays that unpack and explain health information such as the nutritional content of various foods or muscles activated during exercise.

Your browser does not support the video tag.

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Introducing Muse Spark, the first in the Muse family of models developed by Meta Superintelligence L...

AI at Meta (@AIatMeta) — Wed, 08 Apr 2026 16:05:23 GMT

Introducing Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs.

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

Muse Spark is available today at meta.ai and the Meta AI app. We’re also making it available in private preview via API to select partners, and we hope to open-source future versions of the model.

Learn more: go.meta.me/43ea00

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Learn more about SAM 3 here: https://t.co/9O5ZPgQDhe

AI at Meta (@AIatMeta) — Fri, 27 Mar 2026 17:32:32 GMT

Learn more about SAM 3 here: go.meta.me/591040

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The core innovation in SAM 3.1 is object multiplexing, allowing the model to track up to 16 objects ...

AI at Meta (@AIatMeta) — Fri, 27 Mar 2026 17:26:48 GMT

The core innovation in SAM 3.1 is object multiplexing, allowing the model to track up to 16 objects in a single forward pass. Previously, each object required its own dedicated pass, but with multiplexing, SAM 3.1 processes all tracked objects together, eliminating redundant computation and memory bottlenecks.

This approach doubles the processing speed for videos with a medium number of objects, increasing throughput from 16 to 32 frames per second on a single H100 GPU.

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We’re releasing SAM 3.1: a drop-in update to SAM 3 that introduces object multiplexing to significan...

AI at Meta (@AIatMeta) — Fri, 27 Mar 2026 17:26:47 GMT

We’re releasing SAM 3.1: a drop-in update to SAM 3 that introduces object multiplexing to significantly improve video processing efficiency without sacrificing accuracy.

We’re sharing this update with the community to help make high-performance applications feasible on smaller, more accessible hardware.

🔗 Model Checkpoint:go.meta.me/8dd321T
🔗 Codebasego.meta.me/b0a9fbB0

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Without any retraining, TRIBE v2 can reliably predict the brain responses of individuals it has neve...

AI at Meta (@AIatMeta) — Thu, 26 Mar 2026 13:04:39 GMT

Without any retraining, TRIBE v2 can reliably predict the brain responses of individuals it has never seen before, achieving a nearly 2-3x  improvement over previous methods for both movies and audiobooks

We’re releasing the model, codebase, paper, and demo to help researchers advance neuroscience, apply brain insights to build better AI, and use computational simulation to speed up breakthroughs in neurological disease diagnosis and treatment.

🔗 Paper:go.meta.me/210503R
🔗 Modelgo.meta.me/ea1cffag
🔗 Codgo.meta.me/873d02bsp

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Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how...

AI at Meta (@AIatMeta) — Thu, 26 Mar 2026 13:04:38 GMT

Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how the human brain responds to almost any sight or sound.

Building on our Algonauts 2025 award-winning architecture, TRIBE v2 draws on 500+ hours of fMRI recordings from 700+ people to create a digital twin of neural activity and enable zero-shot predictions for new subjects, languages, and tasks.

Try the demo and learn more here: go.meta.me/tribe2

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CHMv2 is already supporting public sector efforts in the United States, Europe, and beyond. By makin...

AI at Meta (@AIatMeta) — Thu, 12 Mar 2026 16:45:51 GMT

CHMv2 is already supporting public sector efforts in the United States, Europe, and beyond. By making these advances open source, we aim to accelerate research and inform carbon offsetting, reforestation, and land management decisions globally.

🔗 Read the paper:go.meta.me/9a9e425
🔗 Download the modelgo.meta.me/2edd52xj

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We’re announcing Canopy Height Maps v2 (CHMv2), an open source model for high-resolution global fore...

AI at Meta (@AIatMeta) — Thu, 12 Mar 2026 16:45:50 GMT

We’re announcing Canopy Height Maps v2 (CHMv2), an open source model for high-resolution global forest canopy mapping, developed in partnership with the @WorldResources.

CHMv2 leverages our DINOv3 Sat-L vision model, specifically optimized for satellite imagery, to deliver substantial improvements in accuracy, detail, and global consistency.

🔗 Learn more:go.meta.me/70d2e9R

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Custom silicon is critical to scaling next-gen AI. We’re detailing the evolution of the Meta Trainin...

AI at Meta (@AIatMeta) — Wed, 11 Mar 2026 14:14:40 GMT

Custom silicon is critical to scaling next-gen AI. We’re detailing the evolution of the Meta Training and Inference Accelerator (MTIA), our homegrown silicon family designed to power the next era of AI experiences.

Traditional chip cycles span years, but model architectures change in months. To close this gap, we’ve accelerated MTIA development to release four generations in just two years.

See our roadmap and tech specs here: go.meta.me/16336d

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Meta 🤝 AMD Today we’re announcing a multi-year agreement with @AMD to integrate their latest Insti...

AI at Meta (@AIatMeta) — Tue, 24 Feb 2026 12:03:50 GMT

Meta 🤝 AMD

Today we’re announcing a multi-year agreement with @AMD to integrate their latest Instinct GPUs into our global infrastructure. With approximately 6GW of planned data center capacity dedicated to this deployment, we’re scaling our compute capacity to accelerate the development of cutting-edge AI models and deliver personal superintelligence to billions around the world.

Learn more:go.meta.me/220f12w

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ICYMI: @alexandr_wang spoke at the India AI Impact Summit where he shared Meta’s vision for personal...

AI at Meta (@AIatMeta) — Thu, 19 Feb 2026 23:46:57 GMT

ICYMI: @alexandr_wang spoke at the India AI Impact Summit where he shared Meta’s vision for personal superintelligence and how developers in India are already using AI to solve major societal challenges. 

See highlights 👇 and then watch his full speech here:youtube.com/live/WgW7cC-kH…B

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Our Chief AI Officer @alexandr_wang will take the stage at the India AI Impact Summit. Date: Thursd...

AI at Meta (@AIatMeta) — Wed, 18 Feb 2026 23:16:12 GMT

Our Chief AI Officer @alexandr_wang will take the stage at the India AI Impact Summit.

Date: Thursday, February 19
Time: 1:53pm IST // 12:23am PST

Watch the livestream here: youtube.com/live/WgW7cC-kH…

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Our team is heading to India this week for the AI Impact Summit & Expo 🇮🇳 Stop by the Meta booth ...

AI at Meta (@AIatMeta) — Mon, 16 Feb 2026 15:55:18 GMT

Our team is heading to India this week for the AI Impact Summit & Expo 🇮🇳

Stop by the Meta booth (Exhibition Hall 3, Booth No. 3.7) to meet our team and experience:

📚 Demos of research, including Omnilingual Automatic Speech Recognition (ASR) and SeamlessExpressive

⚡ Lightning talks from experts on how AI is unlocking real-world benefits across language, accessibility and health

👓 Hands-on demos with our latest AI glasses including the Oakley Meta Vanguard

We look forward to seeing you there!

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We’re open-sourcing Perception Encoder Audiovisual (PE-AV), the technical engine that helps drive SA...

AI at Meta (@AIatMeta) — Thu, 18 Dec 2025 16:58:55 GMT

We’re open-sourcing Perception Encoder Audiovisual (PE-AV), the technical engine that helps drive SAM Audio’s state-of-the-art audio separation.

Built on our Perception Encoder model from earlier this year, PE-AV integrates audio with visual perception, achieving state-of-the-art results across a wide range of audio and video benchmarks. Its native multimodal support can assist people in everyday tasks, including sound detection and richer audio-visual scene understanding.

🔗 Read the paper:go.meta.me/e541b6z
🔗 Download the codego.meta.me/7fbef0xq

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We’re hosting a Reddit AMA with the researchers behind SAM 3 + SAM 3D + SAM Audio. Join us tomorro...

AI at Meta (@AIatMeta) — Wed, 17 Dec 2025 23:08:55 GMT

We’re hosting a Reddit AMA with the researchers behind SAM 3 + SAM 3D + SAM Audio. 

Join us tomorrow at 2pm PT.

reddit.com/r/LocalLLaMA/c…

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🔉 Introducing SAM Audio, the first unified model that isolates any sound from complex audio mixture...

AI at Meta (@AIatMeta) — Tue, 16 Dec 2025 17:26:10 GMT

🔉 Introducing SAM Audio, the first unified model that isolates any sound from complex audio mixtures using text, visual, or span prompts.

We’re sharing SAM Audio with the community, along with a perception encoder model, benchmarks and research papers, to empower others to explore new forms of expression and build applications that were previously out of reach.

🔗 Learn morego.meta.me/568e5dCP

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We’re in San Diego this week for #NeurIPS2025! Stop by the Meta booth (#1223) to meet our team and ...

AI at Meta (@AIatMeta) — Mon, 01 Dec 2025 16:33:35 GMT

We’re in San Diego this week for #NeurIPS2025!

Stop by the Meta booth (#1223) to meet our team and check out:

🔎 Demos of our latest research including DINOv3 and UMA
⚡ Lightning talks from researchers behind SAM 3, Omnilingual ASR and more (see schedule below)
👓 Hands-on demos with our latest AI glasses including the Meta Ray-Ban Display

Our team is also sharing 19+ papers and 13+ workshops this week. We hope to see you there.

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SAM 3D is helping advance the future of rehabilitation. See how researchers at @CarnegieMellon are ...

AI at Meta (@AIatMeta) — Tue, 25 Nov 2025 18:28:10 GMT

SAM 3D is helping advance the future of rehabilitation.

See how researchers at @CarnegieMellon are using SAM 3D to capture and analyze human movement in clinical settings, opening the doors to personalized, data-driven insights in the recovery process.

🔗 Learn more about SAM 3D:go.meta.me/305985Y

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