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What’s next in AI? Flexible, reusable models known as foundation models that can be applied to nearly any domain or industry task and help limit the energy and data needed for training. Learn more: ibm.co/3yld62N

What's next in #AI: flexible, reusable models that can be applied to just about any domain or industry task. research.ibm.com/blog/what-are-…

Abstract vs Paper

How did we develop the ResNet-50 training procedure that blew away the competition at MLPerf? Check out Matthew Leavitt's deep dive into the methodology behind it. The most important part: this methodology is repeatable. Stay tuned for BERT, DeepLab, GPT, and more to come!

IBM Research unveils new Artificial Intelligence Unit (AIU) at the AI Hardware Forum. State of the art in low precision arithmetic and algorithms. #AINews #hardware IBM IBM Data, AI & Automation IBM Research @IBMWatson #AI David Cox

#QuantumComputing is nascent, but it's coming. Exciting stuff announced this week in New York at the IBM Research #Quantum Summit. youtu.be/AQjKUN8PORM

The next wave of #computing research.ibm.com/blog/next-wave…

The future of computer chips is being made in Albany, NY youtu.be/uj_2P73dSLs via YouTube

Happy to announce our #iclr2023 paper Contrastive Audio-Visual Masked Autoencoder CAV-MAE Paper: openreview.net/forum?id=QPtMR… Code (incl. checkpoints ): github.com/YuanGongND/cav… Details below 👇 #computervision #machinelearning #ai MIT CSAIL MIT-IBM Watson AI Lab

Do you want to estimate the density ratio accurately but are dissatisfied with the results?

College majors are evolving with #AI. Dean of the @mit College of Computing speaks to "blended majors" at the #mitibm industry event IBM Research.

Tech from my team MIT-IBM Watson AI Lab was just part of a demo in our CEO's opening keynote at #IBMThink 🎉—the result of a fantastic collaboration led by Rameswar Panda and Yoon Kim

The inimitable KLB demoing our new watsonx.ai foundation model tooling for attendees at #IBMThink

📢 Introducing Voyage AI Voyage_AI_! Founded by a talented team of leading AI researchers and me 🚀🚀. We build state-of-the-art embedding models (e.g., better than OpenAI 😜). We also offer custom models that deliver 🎯+10-20% accuracy gain in your LLM products. 🧵

If you're building #LLMs for domain use cases or for customers, I encourage you to look into this. Embeddings power LLMs and this small team has beat out the big boys for SOTA in text embeddings across a number of downstream tasks. It's a big deal.

Thrilled to receive my signed copy of Magatte Wade's new book, Heart of a Cheetah! Magatte has been a powerful voice for African entrepreneurship and self determination, influencing a generation of "cheetahs" to take hold of the future. Must read!

Can deep learning work on small data with far more features than samples? We present PLATO: a method that achieves the state-of-the-art on such datasets by using prior domain information! neurips.cc/virtual/2022/p… 🧵 Published in #NeurIPS2023 with Hongyu Ren @kexinhuang5 Jure Leskovec

Imagine having an equity stake in ChatGPT. User-owned foundation models are coming. Currency was the first killer app for crypto. I think #DecentralizedAI is next with Vana's Proof of Contribution protocol giving data liquidity to everyone. This feels big.

Superstar team doing superstar work. I can't imagine building an #LLM #GenAI stack and not using Voyage. Neither can Anthropic, Databricks, Snowflake etc.

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