Eric A. Moreno

Physics/ML researcher @MIT, @CERN, @Fermilab, @LIGO (too many, I know), formerly @Caltech

[Eric A. Moreno @eric_a_moreno]

@heygurisingh im quaking in my boots!!

[Eric A. Moreno @eric_a_moreno]

@grok is this true

[Eric A. Moreno @eric_a_moreno]

AI Agents can now automate scientific analyses that took years in mere hours.

Excited to announce our new pre-print on automating the data analysis process using Artificial Intelligence in High Energy Physics and Particle Physics.

With @softcollinear, Andrzej Novak, Dolores Garcia, and Phil Harris we show that just furnishing context (#JFC) with a thorough methodology is enough for AI agents to autonomously perform a HEP analysis end-to-end, complete with a planning, exploration, execution, statistical analysis, all performed by AI agents. Each step reviewed by more AI agents and looped as long as necessary.

We discuss prospects on how the field should evolve given the increasing power of AI models. Attached in the appendices/linked on GitHub are not only the review-ready analysis notes, but we also publish the full, reproducible codebase for each analysis with tracked history, setting a benchmark for openness and replicability in HEP.

Check out the pre-print: https://t.co/A1U8pv8wUL it’s a fun read and an exciting time to be in #AIforScience!
@MIT @MIT_Physics @AnthropicAI @claudeai @iaifi_news @CERN

#AIRevolution #ClaudeCode #AIAgents

[High Energy Physics - Experiment Papers @HEPExperPapers]

AI Agents Can Already Autonomously Perform Experimental High Energy Physics

Eric A. Moreno, Samuel Bright-Thonney, Andrzej Novak, Dolores Garcia, Philip Harris
https://t.co/TmuhTb3wAA [𝚑𝚎𝚙-𝚎𝚡 𝚌𝚜.𝙰𝙸 𝚌𝚜.𝙻𝙶]

[Machine Learning: Science and Technology @MLSTjournal]

Great new work by @eric_a_moreno @AlecGunny Dylan Rankin et al @MITKavli @MIT_Physics @UMN_SPA @physatpenn @iaifi_news @LIGO - 'GWAK: #gravitationalwave anomalous knowledge with recurrent #autoencoders' - https://t.co/B3jTtFLOcH #machinelearning #AI #astrophysics #cosmology

[Eric A. Moreno @eric_a_moreno]

Held an event with Lupe Fiasco last night 🔥🔥 at the FastML conference with @a3d3institute

[“LIVE FROM MIAMI BEACH” OUT NOW! @LupeFiasco]

We live @ Imperial College London

Tune in to the stream

https://t.co/RJShWqLtVw

[Eric A. Moreno @eric_a_moreno]

Follow up paper going through internal LIGO review right now 👍👍 we generalize to many AEs to create an embedded space for #anomalydetection

[Machine Learning: Science and Technology @MLSTjournal]

'Source-agnostic #gravitationalwave detection with recurrent #autoencoders' by @MariaSpiropulu @xmpierinix @vlimant @b_borzyszkowski @eric_a_moreno @CERN @MIT @Caltech hits 1000 downloads! https://t.co/b2eKRiNLjy #machinelearning #astrophysics #cosmology #HEP #openscience #AI

[Eric A. Moreno @eric_a_moreno]

👀 called out by LeCun

[Yann LeCun @ylecun]

@kchonyc Haha!
That's what I told Max Tegmark: the probability that one of his MIT students is a genocidal psychopath is non-zero, hence he should stop teaching.

[Eric A. Moreno @eric_a_moreno]

@xmpierinix I can confirm Maurizio dances like this !

[Eric A. Moreno @eric_a_moreno]

@JoosepPata @CMSExperiment Thank you for your service 🫡

[Eric A. Moreno @eric_a_moreno]

Brings me back to a conversation I had with @vlimant and @EricMetodiev at @NeurIPSConf 2019 - We need an AI scientist. One that is curious about the world, able to form conjectures, and test them.

[Eric A. Moreno @eric_a_moreno]

Attended a talk by @demishassabis from @DeepMind today where he discussed AI as a tool for scientific discovery (#AlphaFold etc.). After, posed two questions to him:

1) Humans are innately curious, creative, and explorative beings. If you give a baby a stack of blocks, they will

[Eric A. Moreno @eric_a_moreno]

- Highly parallelizable & extremely fast
- Energy efficient
- Temporally based
- Analog compute engines

That is my take - does anybody have any others? @demishassabis seemed interested but pointed out that these solutions are still very far away. Maybe so! I hope not!

[Eric A. Moreno @eric_a_moreno]

(3/3) Hoping to complete a full anomaly detection analysis run by the end of this year and in time for LIGO O4 Observing run.

[Eric A. Moreno @eric_a_moreno]

(1/3) Super excited! Our new paper in @MLSTjournal on detecting #gravitationalwaves without ever telling the ML model what a GW looks like. This builds on work by @ElenaCuoco et. al by introducing recurrent autoencoders.

[Machine Learning: Science and Technology @MLSTjournal]

Great new work by @MariaSpiropulu @xmpierinix @vlimant @b_borzyszkowski @eric_a_moreno @CERN @MIT @Caltech - 'Source-agnostic #gravitationalwave detection with recurrent #autoencoders' - https://t.co/b2eKRiNLjy #machinelearning #astrophysics #cosmology #HEP #opendata #blackholes

[Eric A. Moreno @eric_a_moreno]

(2/3) We are currently exploring more complex versions of this architecture (with larger dimension anomaly/loss spaces) to possibly detect exotic GWs that aren't currently identified by LIGO/Virgo! #Semisupervised looks like the way to go!