Ameet Talwalkar

My experiences as a postdoc in Berkeley's AMPLab were transformational for my career. I'm super excited about the @LaudeInstitute's vision of funding "Patterson-style" labs at other universities via its moonshot program!

Our Chief Scientist @atalwalkar sat down with @conversatAINews to discuss Datadog’s AI strategy. He shares a closer look at his career and what's on the horizon for Datadog and #AI. Read the interview here: bit.ly/46ZGAEz

Happy to see a time series workshop @ NeurIPS 2025 motivated in part by our search for BERT moments in specialized foundation models (🧵here: x.com/khodakmoments/…)

🚀 We are happy to organize the BERT²S workshop @NeurIPSConf 2025 on Recent Advances in Time Series Foundation Models. 🌐 berts-workshop.github.io 📜Submit by August 22 🎓Speakers and panelists: @ChenghaoLiu15 Mingsheng Long @zoe_piran @danielle_maddix @atalwalkar @qingsongedu

Correction! The oral presentation at the R2-FM workshop this afternoon is at 🕝 2:40pm 🏛️ West Ballroom C See you there!

Evaluating agents on benchmarks is a pain. Each benchmark comes with its own harness, scoring scripts, and environments and integrating can take days. We're introducing the Terminal-Bench dataset registry to solve this problem. Think of it as the npm of agent benchmarks. Now…

Super excited about this! @krisfredrickson is amazing.

Heading to Vancouver for ICML✈️🇨🇦Let’s chat about coding agents, evals, and human-AI collab. I’ll also be on the job market this upcoming cycle, looking for TT faculty roles + post-docs. Here's where you'll be able to find me this week👇

if you're interested in generative modeling and stochastic interpolants, you should check this out! thanks @nmboffi !

Fully open machine learning requires not only GPU access but a community commitment to openness. (Some nostalgic lessons from the ImageNet decade.) argmin.net/p/an-open-mind…

I'm very excited to share some new work arxiv.org/abs/2506.06488. This work started out in conversations with @thorn where we realized that shadow model MIAs couldn't be used to audit models for harmful content of children. See 🧵 for why, and our progress on solving this...

“Joining the S&P 500 Index is a significant milestone for Datadog and is a testament to the work of our employees, collaboration with partners, and above all, our relentless focus on meeting the complex needs of our 30,000+ global customers” — Olivier Pomel, Datadog co-founder…

🤖🧠 Join us for the 2025 Workshop on Human-AI Complementarity for Decision Making at CMU! 📅 Sept 25-26, 2025 💰 Travel to Pittsburgh & lodging covered 📝 Abstract deadline: July 15 We welcome abstract submissions, which will be presented as talks or posters. Details below!

We are so excited to announce a new open-source challenge in collaboration with @proximafusion : unlocking fusion with AI If you haven't followed, fusion is how the sun make energy and is –in the long term– our best bet on a clean, safe, and virtually limitless energy In the…

Most AI agents are tested in a bubble. But real ML breakthroughs happen in communities. We introduce CoMind, an research agent that learns from community knowledge. 📊 CoMind outperforms ~70% human teams in a CVPR 2025 workshop competition. 🧵👇

📢Exciting updates from #MLSys2025! All session recordings are now available and free to watch at mlsys.org. We’re also thrilled to announce that #MLSys2026 will be held in Seattle next May—submissions open next month with a deadline of Oct 30. We look forward to…

#MLSys2026 will be led by the general chair @luisceze and PC chairs @JiaZhihao and @achowdhery. The conference will be held in Bellevue on Seattle's east side. Consider submitting and bringing your latest works in AI and systems—more details at mlsys.org.

Hanging out in Trondheim for @FSEconf this week! It's my first SE conf: let's chat about applications of LLMs for SE and improving developer productivity! I'll be presenting our demo paper on open-source proactive coding assistants tomorrow at the LLM for SE 3 session.

Excited to announce 🎵Magenta RealTime, the first open weights music generation model capable of real-time audio generation with real-time control. 👋 **Try Magenta RT on Colab TPUs**: colab.research.google.com/github/magenta… 👀 Blog post: g.co/magenta/rt 🧵 below

Check out our new work led by @Shanda_Li_2000 where we ask how well LLMs perform at solving PDEs. It turns out that using LLMs to generate code works quite well in our early results, and this is an interesting alternative to neural PDE solvers.