🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

MTEB is the most common text embedding benchmark with 190K installs/mon & 120K leaderboard visits/mon. We're extending it to be massively multilingual. Anyone is invited to contribute & co-author an upcoming publication📜 Details: github.com/embeddings-ben…

Ashvanth.S Everything is on GitHub, e.g. github.com/embeddings-ben… ; github.com/embeddings-ben… :)

Registration for #INTERSPEECH2024 is now open! Secure your participation and book your hotel at preferred rates directly through the registration process. All details and what’s included in your registration are here: interspeech2024.org/registration/ #SpeechTech

Introducing Kreyòl-MT: a new machine translation dataset for 41 Caribbean, Latin American, and Colonial African Creole languages 🌎🌍🌏 arxiv.org/abs/2405.05376 #NLProc youtube.com/watch?v=pilC9G… (1/5)

Our data are more genre diverse than in previous Creole language works: 26 of the 41 languages sets contain at least two genres (3/5)

I'm very happy to share our new benchmark, IrokoBench--a human translated benchmark dataset for 16 African languages covering: - NLI (AfriXNLI) - Maths reasoning (AfriMGSM) - Multi-choice QA (AfriMMLU) arxiv.org/abs/2406.03368 Project funded by Lacuna Fund with Masakhane

Our community timeline emerging from Deep Learning Indaba looking back on 2 years with a beautiful community growing and learning together. Hakeem Omotayo Ashery Mbilinyi Mai Gamal Clifford Broni-Bediako Naome Etori idriss Tondji Houcemeddine Turki mennatullah siam Raesetje Sefala

I am looking to hire several Ph.D. students starting Fall 2025 JHU ECE. Anyone who is passionate for computational imaging/machine learning/statistical inference is welcome to apply. MS/Postdoc positions are also available! Here is the link: forms.gle/dFyftuPTSCqSTa… #PhDposition

The Deep Learning Indaba 2024 is only 2 months away 🔥🪘 We are looking forward to meeting a community of 600+ passionate researchers and practitioners in Dakar to foster collaboration and AI innovation across the African continent. 🚀 All notifications have been sent out, make

Late posting this, but super grateful I got to present this work at NAACL HLT 2025 & AmericasNLP! Huge thanks to the Kreyòl-MT team @prajdabre1 Naome Etori Kenton Murray Olanrewaju Samuel Loïc Grobol Vijay Murari Tiyyala @rasmundi Ashi Garg Bismarck B. Odoom et al.

Day 8. It was about time to add the temporal dimension. Big thanks to Hazel Doughty (Hazel Doughty) for her exciting lecture on video understanding, covering methods from optical flow to transformers for video. #ACVSS

It's the first full day of our campaign, so I'm heading up to Wilmington, DE later to say "hello" to our staff in HQ. One day down. 105 to go. Together, we're going to win this.

🪘Samy Bengio, senior director of AI and ML research at Apple, will be joining us for our second keynote. Don’t miss his talk on Tuesday, 3rd of September at 9 am  ! Livestream link will be shared soon ! #DLI2024 #Indaba2024 #XamXamlé

🎉 Just had an incredible experience attending The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)! 🎉 - via #Whova event app

🎉 Just had an incredible experience attending The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)! 🎉 - via #Whova event app

🚨 Pan-African Medical AI Research Alert! 🚨 How can we bridge the gap in healthcare through AI for underserved regions like Africa? Introducing AfriMed-QA: The first large-scale Pan-African, multi-specialty medical Question-Answering dataset. Developed by an incredible team

2/10 Key Highlights of AfriMed-QA - Dataset Scale: 15,275 medical questions across 32 specialties. - Types: Multiple Choice (MCQs), Short Answer (SAQs), and Consumer Queries (CQs). - Pan-African Scope: Data sourced from 60+ medical schools across 16 countries. -

3/10 Why is it needed? Global South healthcare systems face acute physician shortages and resource gaps. Current LLMs like GPT-4 excel in U.S.-based benchmarks but struggle with linguistic and cultural contexts unique to Africa. AfriMed-QA aims to build inclusive AI benchmarks

8/10 Join the Revolution The dataset is freely available for researchers to: - Benchmark AI models. - Improve generalizability across low-resource healthcare settings. 🔗 Dataset Link: huggingface.co/datasets/intro…

H-1B DATA MEGA-THREAD 🧵 I downloaded five years of H-1B data from the US DOL website (4M+ records) and spent the day crunching data. I went into this with an open mind, but, to be honest, I'm now *extremely* skeptical of how this program works. Here's what I found 👇