📢 We are excited to announce "#FMSD: 1st Workshop on Foundation Models for Structured Data" has been accepted to #ICML 2025! Call for Papers: https://t.co/GwnimFbpPb

Open protocols like A2A and MCP are key to enabling the agentic web. With A2A support coming to Copilot Studio and Foundry, customers can build agentic systems that interoperate by design.

New preprint https://t.co/BUpLi4a39k Open Challenges in Time Series Anomaly Detection: An Industry Perspective This is a vision paper about what I think it missing from current research in time series anomaly detection, and how it could align better with practical applications.

is that "agentic" enough🤣

Yes!

The data science revolution is getting closer. TabPFN v2 is published in Nature: https://t.co/Ybb15pnZ5P On tabular classification with up to 10k data points & 500 features, in 2.8s TabPFN on average outperforms all other methods, even when tuning them for up to 4 hours🧵1/19

Today OpenAI announced o3, its next-gen reasoning model. We've worked with OpenAI to test it on ARC-AGI, and we believe it represents a significant breakthrough in getting AI to adapt to novel tasks. It scores 75.7% on the semi-private eval in low-compute mode (for $20 per task

Congrats to my friends at @Microsoft on getting Python in Excel to GA! https://t.co/Lb54oobiR1

There's a great overview of challenges and proposals here: Great summary here: NeurIPS 2023 Tutorial ( https://t.co/MisRx5yGdq) (check slides and doc). If you agree that something needs to change, I'd suggest talking to a PC member or conference organizer.

I'm pretty frustrated with the current review process in ML (both from an author, reviewer and meta-reviewer perspective). There's possible solutions or at least experiments and changes, but I feel like business as usual is no longer feasible.

Wondering how humans should be involved in designing #AutoML solutions 🤔? Check out our #ICML2024 paper: "Position: A Call to Action for a Human-Centered AutoML Paradigm"! 📄✨ https://t.co/TmB1p7HIhw Drop by at our poster on Thu, Jul 25 at 11:30 AM in Hall C 4-9 #2003 📅 1/3

We are proud to release the first major version of DuckDB, v1.0.0, codenamed "Snow Duck". This version is a culmination of almost six years of research and development. Today we are shipping an innovative database system with a backwards-compatible storage format. Check out our

Columnar file formats like Parquet/ORC are ubiquitous. Our VLDB paper with @XinyuZeng218 + @huanchenzhang + @wesmckinn studies their internals. TLDR: They're not optimized for modern hardware. Something new is needed. Paper: https://t.co/zU0jUm78ot Code: https://t.co/nvbPUsRrpI

Not only is this the best model in the world, but it's available for free in ChatGPT, which has never before been the case for a frontier model.

GPT-4o is our new state-of-the-art frontier model. We’ve been testing a version on the LMSys arena as im-also-a-good-gpt2-chatbot 🙂. Here’s how it’s been doing.

Congrats to @AIatMeta on Llama 3 release!! 🎉 https://t.co/fSw615zE8S Notes: Releasing 8B and 70B (both base and finetuned) models, strong-performing in their model class (but we'll see when the rankings come in @ @lmsysorg :)) 400B is still training, but already encroaching

🥁 Llama3 is out 🥁 8B and 70B models available today. 8k context length. Trained with 15 trillion tokens on a custom-built 24k GPU cluster. Great performance on various benchmarks, with Llam3-8B doing better than Llama2-70B in some cases. More versions are coming over the next

We often get questions around why @VoltronData supports the Ibis project -- we've answered them here! TL;DR: open standards are critical for the composable data ecosystem and tightly coupling Python dataframes to execution engines is bad for everyone https://t.co/VGK1BpBMSj

The rumors are true! I started a(nother) blog. https://t.co/cSy5rhfxwI The first post is an adaption of my talk, recalling the pas 10+ years of building open source standards and the lessons learned along the way.

Kaggle's (@Kaggle) latest competition's top 11 highest scoring notebooks all use 🚀@AutoGluon AutoML🚀 to achieve their strong performance! When I said that AutoGluon 1.0 was the largest jump in the state-of-the-art in 4 years, I meant it. Competition: https://t.co/SKWIen7X1e