Extremely proud to present my group's pre-print paper executed by my PhD student Mr. Jonas Köhler on #earthquake #forecasting using #deeplearning. We pose earthquake forecasting as a classification problem and train a Neural Network to decide, whether a #timeseries of length greater than 2 years will end in an earthquake on the following day with magnitude greater than 5 or not. The study could be summarised in following three points: 1) We use spatio-temporal b value data, on which we train an #autoencoder to learn the normal seismic behaviour. 2) We then take the pixel by pixel reconstruction error as input for a Convolutional Dilated Network classifier, whose model output could serve for earthquake forecasting. 3) We develop a special progressive training method for this model to mimic real life use. #data #research #ai4good #ai4science #seismology
https://arxiv.org/abs/2307.01812

What's the easiest way to find everyone interested in lab automation, #AI4Science for #materials, #chemistry, etc. from the old site? Should I just follow everyone that follows @aspuru?

If you're interested in these topics, give me a follow and I'll follow back!

Our #ICLR2023 workshop on Physics4ML is open for submissions. Deadline: 3rd February.

Submit your work on physics-based ML, equivariance, etc here: https://openreview.net/group?id=ICLR.cc/2023/Workshop/Physics4ML

More info:
https://physics4ml.github.io/

https://mobile.twitter.com/tk_rusch/status/1610305901558210563

#Physics4ML #AI4Science #GeometricDeepLearning

@Argonne Energy Technology and Security Fellowship is open for applications! Excellent opportunity for those interested in #AI4Science applied to energy, manufacturing, transportation, infrastructure resilience, security, and more!

#postdoc #fellowship
(emphasis txt shade mine)

We're organising a workshop on Physics for ML at #ICLR2023.

Submit your work on physics-based ML, equivariance, etc.

Site: https://physics4ml.github.io
OpenReview: https://openreview.net/group?id=ICLR.cc/2023/Workshop/Physics4ML

Deadline 3rd Feb.

https://twitter.com/tk_rusch/status/1603791044398702595

#Physics4ML #AI4Science #GeometricDeepLearning

RT @zany_cloud
We have opened our summer internship positions for the #AI4Science initiative at @MSFTResearch (Cambridge, Amsterdam, Berlin).

Apply if you are interested in using #AI to solve problems in #Physics #MaterialsScience and #Chemistry!

https://careers.microsoft.com/us/en/job/1497779/Internship-Opportunity-AI4Science

Excited about neural #optimaltransport methods for modeling #singlecell perturbation responses but wondering how to integrate cell birth and death? Frederike Lübeck has the answer for you in the #AI4science workshop @NeuripsConf! Join us in rooms 388 - 390.

Joint work with Frederike Lübeck, Gabriele Gut, Jacobo Sarabia del Castillo, Lucas Pelkmans, David Alvarez Melis, and myself.

Paper: https://arxiv.org/pdf/2209.15621.pdf

RT @Tkaraletsos@twitter.com

I will be taking interns and hiring FTEs for my advanced ML team at @insitro@twitter.com.
If you are interested in #AI4science and want to work on methods inspired by real world problems in drug discovery reach out. I am also at #neurips22 until the end of the week.
Topics! Links in 🧵1/4

🐦🔗: https://twitter.com/Tkaraletsos/status/1597988216640274432

In New Orleans for #Neurips2022.

Monday I'll be at the affinity workshops.

Tuesday I'll be at poster session 1 for our paper Equivariant Networks for Zero-Shot Coordination (https://arxiv.org/abs/2210.12124) and at poster session 2 for our oral-designated paper Maximum Class Separation as Inductive Bias in One Matrix (https://arxiv.org/abs/2206.08704).

Happy to discuss #RL, #AI4Science, #MARL, #GeometricDL. Please feel free to reach out if you want to chat!

Moving to a smaller instance. A re-#introduction.

I research #MachineLearning for Scientific Discovery. #ml4science #ai4science
I advocate for #OpenSource and #OpenScience when possible. A lot of my effort goes to solving problems in #LifeScience #Genomics and #RadioAstronomy.

Read our book on Mathematics for Machine Learning at https://mml-book.com

I cook to relax.

Just moved here from the m.s. so let's do an #introduction again.

I'm Mark Crowley (he/him).
I'm an Assoc Prof at the University of #Waterloo.
I'm from Toronto, but I've also lived in Vancouver, Oregon and Germany.

I have a #PhD in #ComputerScience in #ArtificialIntelligence.
My research includes #ReinforcementLearning #DimReduction and #DeepLearning
for
#AutonomousDriving #AI4Science #ForestWildfire #MedicalImaging

Also talk #startrek, #doctorwho, #science, #philosophy

#Introduction

I am a Mathematical Engineering MSc student at Politecnico di Milano, majoring in Computational Science and Computational Learning.
As a graduate student researcher at the Modeling and Computational Science Lab my work focuses on #DeepLearning and #NumericalAnalysis, concerning the development of Neural Latent Dynamics Models.

#machinelearning #ai4science #math #physics

#Introduction

I'm a Marie Curie fellow working at Kyoto University and Italian Institute of Technology.
#OPTIMAL project
https://cordis.europa.eu/project/id/101027956

#optimalTransport #AI4science #remoteSensing #culturalHeritage

🔥 Join our AI lab at NREL!

🧳 We are hiring 1 or 2 US-based postdocs (hybrid/remote-friendly) to work on a range of topics such as scaling up #AI4Science on HPC, neuro-symbolic AI, and reinforcement learning

🔋 Our mission is to use AI to tackle the climate crisis by revolutionizing how we develop and consume energy

https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/Postdoctoral-Researcher---Neurosymbolic-Artificial-Intelligence-for-Energy-Systems_R9667

https://nrel.wd5.myworkdayjobs.com/en-US/NREL/job/Postdoctoral-Researcher---Neurosymbolic-Artificial-Intelligence-for-Energy-Systems_R9667

#introduction #machinelearning #AI #research #sciencetooter #twitterefugee #deeplearning #ai4science

Hey people! 🤠

Seems like intro toots are a thing. So here is mine:

I am a machine learning researcher (FU Berlin, DeepMind, soon Microsoft Research) working on generative models for molecules.

Follow me for toots on ML research, ML software, applied math, stats and probabilty 🤓

More context on https://linktr.ee/jonkhler

Looking forward to tooting around with you folks! 🤩

#introduction

I'm a senior researcher at Microsoft Research AI4Science in Amsterdam.

My research interests include AI4Science, single- and multi-agent reinforcement learning, and structure, symmetry, and equivariance in deep learning.

#reinforcementlearning #ai4science #machinelearning #deeplearning #equivariantagents