Peter Y. Lu

Assistant Professor of ECE at @TuftsUniversity • Former @SchmidtSciences AI in Science Fellow at @UChicago • Ph.D. in Physics from @MIT • Physics ∩ ML

[IAIFI @iaifi_news]

After a recent @NSF-funded workshop on the future of AI and the Mathematical and Physical Sciences (MPS), organizers and participants developed a white paper summarizing how the MPS domains can best capitalize on, and contribute to, the future of AI. https://t.co/U304e11e37

[Data Science Institute @DSI_UChicago]

What can machine learning reveal about nature, climate systems, material science, and more?

Discover the research of Peter Lu , Eric and Wendy Schmidt AI in Science Fellow at @UChicago

https://t.co/xkCSkAeMEX

[Data Science Institute @DSI_UChicago]

AI is fundamentally changing scientific discovery

You can prepare for this shift with the @AI_and_Science Summer School, a program for graduate students focusing on applying AI in core areas of domain science

[Ali Cy @califyn]

(w/ @anugrah66532010 @dangovski @peterparity & others) By visually interpreting low-dimensional contrastively learned representations, we've identified phase transitions: points at which representation geometry suddenly and radically changes during training.

[Becca Willett @WillettBecca]

Interested in pursuing research on significant questions in AI and science? Check out the @DSI_UChicago Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship @SchmidtFutures
https://t.co/A2aGcDEY4r

[Becca Willett @WillettBecca]

The new National Institute for Theory and Mathematics in Biology will bring together mathematicians & biologists, with support of this exciting new opportunity thanks to the @NSF & @SimonsFdn. https://t.co/vSw3aRgjGF

[Nature Computational Science @NatComputSci]

Research highlights out today! We highlight a @NatureComms paper by @peterparity, @dangovski and Marin Soljačić on a data-driven approach to uncover laws of conservation. https://t.co/DRCcqY49li

👉https://t.co/eTW1xJWfZk

[Owen Dugan @OwenDugan]

Exciting news! Our paper on Q-Flow, a new approach for modeling open quantum system dynamics using off-the-shelf deep generative models of the Husimi Q function, has been accepted into #ICML2023. Q-Flow outperforms other solvers, especially in high-dimensional systems.

[Data Science Institute @DSI_UChicago]

Apply by 4/07 to join us for the second DSI AI+Science Summer School this July, co-hosted by @DSI_UChicago and @IMSI_Institute! https://t.co/GVvtizi0Yo?

[AI & Science @AI_and_Science]

Are you an early-career data scientist? Join us @UChicago on Nov 14-15 for the Rising Stars in Data Science workshop, two days of career panels, networking and mentoring opportunities, and research talks. Learn more from @DSI_UChicago:

https://t.co/Qq5IIlGa5n

[IAIFI @iaifi_news]

Did you register yet for the IAIFI Summer Workshop? Join leaders at the intersection of physics and AI at Tufts University on August 8-9. Register for in-person attendance ($200 registration fee): https://t.co/pEzeTuN1nd or virtual: https://t.co/j46f5NxA8N

[IAIFI @iaifi_news]

Registration is now open for our IAIFI Summer School! We have an excellent lineup of lecturers: @yasamanbb , @TacoCohen , @KrippendorfSven , @carrasqu , and @jmgduarte. Register before the deadline, April 22, 2022! https://t.co/L9RdlnvP2f

[IAIFI @iaifi_news]

Some exciting news! We'll be hosting a Summer School and Workshop this year, August 1-5, 2022 and August 8-9, 2022, respectively. Applications for the Summer School will open on February 15. Check our website for details and updates! https://t.co/29iLxoYvcd