Machine Learning at Berkeley

@BerkeleyML

Students at UC Berkeley working on academic research, ML education, industry projects, and fostering a vibrant ML community 🧠💡

Berkeley, CA

ml.berkeley.edu

Joined December 2016

113 Following

3,728 Followers

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Machine Learning at Berkeley
@BerkeleyML
Oct 17
see you there!!
sarrah rose
@AgaRosegirl
Oct 15
Join us for our next BioML Seminar with Chang Yun (@chang_m_yun) from Stanford, next Monday 10/19! He will discuss ENCODE GRAMMAR, a deep learning model resource for decoding the DNA sequence logic of regulatory elements in the human genome! RSVP: luma.com/bioml-r5if
Machine Learning at Berkeley
@BerkeleyML
Oct 4
@oliviakoshy came back to ML@B speak about her work at Hex (@hexanalytics): benchmarking agents for data analytics, why these evals are so challenging and how their benchmark, DataBench, attempts to fix some of these problems!
Machine Learning at Berkeley
@BerkeleyML
Oct 1
see you there!!
sarrah rose
@AgaRosegirl
Oct 1
We're excited to announce the first Berkeley BioML seminar of the semester happening next Monday 10/5! Join us for a talk by Danny Reidenbach from NVIDIA on codesigning protein sequence and structure with test-time search!! luma.com/bioml-u9eh
Machine Learning at Berkeley
@BerkeleyML
Oct 1
check out this great paper from one of our alum!!
Nitish Dashora
@DashoraNitish
Oct 1
There’s lots of buzz around agentic harnesses for robots, particularly for long horizon tasks that require complex reasoning and memory. But what will it really take to turn a reasoning agent into a reactive, reliable and low-latency robot policy? In our new paper, workspace
Machine Learning at Berkeley
@BerkeleyML
Sep 30
thank you for speaking with us!!
Gleb Morgachev
@gmorgachev
Sep 30
Couple weeks ago, @mtvnastya and I gave a talk at UC Berkeley's ML Club @BerkeleyML about decentralized AI. We discussed access to AI compute, verification of work, how Gonka approaches these problems, and open research questions students can contribute to.

Machine Learning at Berkeley

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