Olivia
Online
Annie Dong
@AnnieDo00968633
Llama multimodal @Meta
United States
Joined May 2021
54 Following
18 Followers
15 Posts
building intelligence for the physical economy
@NoetiveAI research blogpost ... building Intelligence for the physical economy with recursive self-improvement (RSI)
Introducing Noetive, an AI lab for industrial businesses that keep the world running.
We are building self-improving AI to run the $30 trillion physical economy: factories, logistics, energy and data centers. We call it Intelligence Of Record.
We’ve raised $41M in seed funding to bring this to life.
Who to follow
Roshan Sharma
@RoshanSSharma2
Research Scientist @GoogleDeepMind | PhD @CMU_ECE | #SpeechProc #NLProc | Previously @AIatMeta @Qualcomm
minhash 
@minhash
Research Researcher @FeynAI (YC X25), prev startups, @oracle @IITGuwahati | I use nixos, btw
Samuele Cornell
@SamueleCornell
Post-doc @ CMU LTI. Audio and speech researcher.
🌿Introducing MetaCLIP 2 🌿
📝: https://t.co/mSncoFH5bE
code, model: https://t.co/11j9HcaeAB
After four years of advancements in English-centric CLIP development, MetaCLIP 2 is now taking the next step: scaling CLIP to worldwide data. The effort addresses long-standing challenges: (1) large-scale non-English data curation pipelines are largely undeveloped, and (2) the curse of multilinguality, where English performance often degrades in multilingual CLIP compared to English-only CLIP. With a complete recipe for worldwide CLIP—spanning data curation, modeling, and training—we show that English and non-English worlds can mutually benefit and elevate each other, achieving SoTA multilingual performance. Join the Meta booth at #ACL2025 to learn more.
(1/3)
We’re also hiring Research Scientists and MLEs to work on knowledge-enriched next-gen AI. We’re looking for candidates who are experienced and passionate about NLP, multi-modal understanding, and knowledge grounded LLMs.
Please reach out for more details.
Check out the exciting work by our amazing intern Derek Xu at #acl2023 !
Paper: https://t.co/tfdbDeaI4g
We’ll be at our poster session 9-10:30am this Wednesday 7/12.
Looking forward to meeting everyone in person!
Check out the exciting work by our amazing intern Derek Xu at #acl2023 !
Paper: https://t.co/tfdbDeaI4g
We’ll be at our poster session 9-10:30am this Wednesday 7/12.
Looking forward to meeting everyone in person!
Existing speech encoders have difficulty learning semantics in spoken language. In our new #ACL2023NLP paper, LLMs can help by injecting semantic information into speech encoders without labeled data. Feel free to visit our poster on Wed!
Paper Link: https://t.co/5wS3pcGoap
@bytestoatoms This is nuts. My rent in jersey city was 2k for a 1-bed. That was 2019-2020, right before Covid.
@bytestoatoms This reminds of the sports teams, e.g. a group of kids going to another town to play soccer with the local school team. They’ll only be staying for a couple days for the game but need a LOT of rooms. This type of demand is short, but supply is also short. Very few substitutes.
@bytestoatoms Doesn’t Airbnb cover d)?
Self-Supervised Learning for Speech and Audio Processing Workshop @ AAAI 2022
=====
Website: https://t.co/RBcP8j7WkN
Submission Deadline: November 15th, 2021 (Anywhere on Earth) -> Less than 24 hours!
Submission website: https://t.co/QMF3BeUlIx
Contact: [email protected]
CFP "The 2nd Self-supervised Learning for Audio and Speech Processing at AAAI 2022" https://t.co/VY9TLztA6U! Beyond regular paper track, we also partner with SUPERB (https://t.co/Soe7GgerqQ) and ZeroSpeech (https://t.co/EttXF9Qzyq) challenges and invite participants to present!
Excited to announce SUPERB challenge for holistic benchmarking of SSL Speech Representations (https://t.co/CxcsLCEzxJ) starts! Participants should build SSL models that generalizes well across various speech tasks (from acoustic and speaker to emotion and semantics).
Hosting an ambitious benchmark like this involves the collaboration of many organizations, and we are super excited to see SUPERB help democratize the development of speech processing technologies!
Transformers can read and write, but how well can they listen and speak 🗣️?
Find out by pitting your models against the SUPERB Challenge 📊!
SUPERB tests pretrained models on a wide range of speech processing tasks & datasets
Submit here 👉: https://t.co/15QgVbNssH
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