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When you have no data to present at the lab meeting Academic Chatter™ Shit Academics Say

I am very excited to share that our paper (CertiFair: A Framework for Certified Global Fairness of Neural Networks) is accepted in #AAAI23. Looking forward to meeting people in Washington D.C. Paper: arxiv.org/abs/2205.09927

No More GIL! the Python team has officially accepted the proposal. Congrats Sam Gross on his multi-year brilliant effort to remove the GIL, and a heartfelt thanks to the Python Steering Council and Core team for a thoughtful plan to make this a reality. discuss.python.org/t/a-steering-c…

Introducing Meta Segment Anything Model 2 (SAM 2) — the first unified model for real-time, promptable object segmentation in images & videos. SAM 2 is available today under Apache 2.0 so that anyone can use it to build their own experiences Details ➡️ go.fb.me/p749s5

Like the original SAM, SAM 2 can be applied out of the box to a diverse range of real-world use cases and we’re excited to see what developers build with it. Try the demo ➡️ go.fb.me/2z6k3v Get the code ➡️ go.fb.me/e2f88y

Thrilled to announce that SAM 2 is out, bringing SAM level capability now to any video! 🤩🚀 Super excited to see what everyone builds!

Meta Segment Anything Model v2 (SAM 2) is out. Can segment images and videos. Open source under Apache-2 license. Web demo, paper, and datasets available. Amazing performance.

Introducing torchchat 🔥 A lightweight library to run LLMs locally across mobile, desktop and laptops powered by PyTorch. Learn more: hubs.la/Q02JpY6c0 #llms #mobilellms #localai #pytorchllm #edge #ondeviceai

🚀 Excited to announce new SAM 2.1 model checkpoints & the SAM 2 Developer Suite: 🤖 We’re releasing full training/fine tuning code for SAM 2 so you can customize it for your use case. 💻For the first time we’re publishing the frontend & backend code for our SAM 2 web demo!

🌟Thrilled to share that SAM 2 was awarded a Best Paper Honourable Mention Award at #ICLR2025, one of 6 papers recognized out of 11000+ submissions! 👏This project was the result of amazing work by an exceptional team at AI at Meta FAIR: Valentin Gabeur , Yuan-Ting Hu,Ronghang Hu,

Today we’re excited to unveil a new generation of Segment Anything Models: 1️⃣ SAM 3 enables detecting, segmenting and tracking of objects across images and videos, now with short text phrases and exemplar prompts. 🔗 Learn more about SAM 3: go.meta.me/591040 2️⃣ SAM 3D

Meta COOKED 🔥 SAM3 is here, and it supports text input on top of image/video segmentation! > prompt with point/box (visual), negative/positive prompts for refining masks > accepts text prompts (concepts, e.g. red car) ⏯️ > comes with transformers support from day-0! 🤗

🧵Announcing Segment Anything 3! SAM 3 extends SAM 2 with open vocabulary text and exemplar prompts, enabling it to detect, segment, and track all instances of a target category in images/videos. We're releasing code, a checkpoint, an eval benchmark, & demo playground. SAM 3 will

Excited to share what we've been working on for the past year! Can’t wait to see the amazing things people will create with it.

a good example of how broad SAM 3 can go is RF100-VL and ODinW13 benchmarks both use real world datasets across domains SAM 3 is state of the art for both benchmarks

SAM 3 is the #1 trending repo on Hugging Face! 🤩Thanks clem 🤗 for personally informing us!