@bcbl_ For clarification, Brain2Qwerty v1 was published earlier today in @NatureNeuro. - 惯性聚合

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AI at Meta (@AIatMeta) on X AI at Meta (@AIatMeta) on X AI at Meta (@AIatMeta) on X AI at Meta (@AIatMeta) on X AI at Meta (@AIatMeta) on X AI at Meta (@AIatMeta) on X AI at Meta (@AIatMeta) on X Alongside the release of Muse Image, we’re sharing an early preview of Muse Video. It offers competi... Content Seal is built into the Meta AI app and https://t.co/wHkMPH7va9 — every generated image carri... Muse Image demonstrates emergent self-refinement within its chain of thought, adaptively executing l... Muse Image thinks before it creates. Driven by reinforcement learning, the model utilizes test-time ... Muse Image works as an agent rather than a direct prompt-to-image model: it invokes tools, self-refi... Introducing Muse Image and Muse Video, the first media generation models developed by Meta Superinte... To help accelerate neuroscience breakthroughs, we're releasing the full training code for Brain2Qwer... We trained Brain2Qwerty v2 on ~22,000 sentences from 9 volunteers, each recorded for 10 hours wearin... We’re sharing the next major milestone in our non-invasive brain-to-text decoder research: Brain2Qwe... Big congrats to our SAM 3D team for receiving a Best Paper Honorable Mention at #CVPR26! This presti... Today we’re announcing an agreement with Amazon Web Services to bring tens of millions of AWS Gravit... 🔜 Try Muse Spark today via the Meta AI app or https://t.co/SSo3nt4aQ4. 5/ https://t.co/mtEUo3Appi Check out some cool ways the community has been putting Muse Spark to work (and play) 🧵👇 1/ https... To spend more test-time reasoning without drastically increasing latency, we can scale the number of... With Muse Spark, we are on a predictable and efficient scaling trajectory. We look forward to sharin... To build personal superintelligence, our model’s capabilities should scale predictably and efficient... Muse Spark is built from the ground up to integrate visual information across domains and tools. It ... Personal superintelligence will help people learn about their health. We collaborated with 1,000+ ph... Introducing Muse Spark, the first in the Muse family of models developed by Meta Superintelligence L... Learn more about SAM 3 here: https://t.co/9O5ZPgQDhe The core innovation in SAM 3.1 is object multiplexing, allowing the model to track up to 16 objects ... We’re releasing SAM 3.1: a drop-in update to SAM 3 that introduces object multiplexing to significan... Without any retraining, TRIBE v2 can reliably predict the brain responses of individuals it has neve... Today we're introducing TRIBE v2 (Trimodal Brain Encoder), a foundation model trained to predict how... CHMv2 is already supporting public sector efforts in the United States, Europe, and beyond. By makin... We’re announcing Canopy Height Maps v2 (CHMv2), an open source model for high-resolution global fore... Custom silicon is critical to scaling next-gen AI. We’re detailing the evolution of the Meta Trainin... Meta 🤝 AMD Today we’re announcing a multi-year agreement with @AMD to integrate their latest Insti... ICYMI: @alexandr_wang spoke at the India AI Impact Summit where he shared Meta’s vision for personal... Our Chief AI Officer @alexandr_wang will take the stage at the India AI Impact Summit. Date: Thursd... Our team is heading to India this week for the AI Impact Summit & Expo 🇮🇳 Stop by the Meta booth ... We’re open-sourcing Perception Encoder Audiovisual (PE-AV), the technical engine that helps drive SA... We’re hosting a Reddit AMA with the researchers behind SAM 3 + SAM 3D + SAM Audio. Join us tomorro... 🔉 Introducing SAM Audio, the first unified model that isolates any sound from complex audio mixture... We’re in San Diego this week for #NeurIPS2025! Stop by the Meta booth (#1223) to meet our team and ... SAM 3D is helping advance the future of rehabilitation. See how researchers at @CarnegieMellon are ... The Segment Anything Playground is a new way to interact with media. Experiment with Meta’s most adv... SAM 3D enables accurate 3D reconstruction from a single image, supporting real-world applications in... We’re sharing model checkpoints, an evaluation benchmark, human body training data, and inference co... Introducing SAM 3D, the newest addition to the SAM collection, bringing common sense 3D understandin... Today we’re excited to unveil a new generation of Segment Anything Models: 1️⃣ SAM 3 enables detect... Introducing Meta Omnilingual Automatic Speech Recognition (ASR), a suite of models providing ASR cap... New from Meta FAIR: Code World Model (CWM), a 32B-parameter research model designed to explore how w... @hwchung27 @EdwardSun0909 @_jasonwei @Meta Let’s go! Welcome to the team 🚀 Introducing DINOv3: a state-of-the-art computer vision model trained with self-supervised learning (... Today Mark shared Meta’s vision for the future of personal superintelligence for everyone. Read his... We’re thrilled to see our advanced ML models and EMG hardware — that transform neural signals contro...

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

AI at Meta ( · 2026-06-29 · via AI at Meta(@AIatMeta)

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