Tim Hargreaves from @Cambridge_Uni and Charles Knipp from @federalreserve gave a contributed talk on state space model programming in Turing.jl #LAFI2025 @poplconf

New publication out that I am a (tangential) coauthor on! I did some work on Turing.jl years ago. Big thanks to all my colleagues who did all the work in getting this prepped. dl.acm.org/doi/10.1145/37118… #julialang

Cambridge is a great place to do a PhD in ML.

This award is very hard to respond to. I have received many hundred congratulatory notes, from former students, post-docs, Princeton University juniors and seniors, funding agencies and foundations, authors, signature collectors, amateurs, elementary school neural network followers, and on and on. An astonishing fraction of them has found their way into useful and interesting Neural Network careers by a casual interaction in class, at a meeting, hearing what I had to say about their ideas, learning from thinking about how I worked with a class, or from being my teaching assistants... There are some whom I remember well, and others for whom my reaction is “are they certain that our interaction sparked a single usable thought?” Yet they go on and comment “you changed my life” and follow on to explain that they heard me lecture when they were 15, and have been a member of the Neural Network brigade of the research army ever afterward. I cannot make detailed comments to most of my letter writers. In sum I can only say that I tremendously enjoyed the interactions that the Neural Network community provided me with; that the mutual interactions have given me much pleasure over the years; that the community interested both in brain and in artificial brain has proved a good way for science to develop even if institutions have not always been sympathetic. Often these institutions found the enthusiasm infectious, after a period of doubt. In short, we often have won--. No, perhaps all we know is that we have not yet lost. I still believe that finding mind lodged in biological matter is the most profound question that physics can pose. And that the breadth of physics is a good base from which to begin.

In last week's flurry of Nobel Prizes with @Cambridge_Uni affiliations, it was poignant to recognise the connections to the late David Mackay in the two honorees for Physics. We talked to Dr Ramesh Mackay about two of her husband's "personal heroes". darwin.cam.ac.uk/news/physic…

It is good to see Turing (@turinglang) and Julia (@julialang) helpful in astrophysics!

Exciting postdoc position with Matthew Juniper and myself at @turinginst, on Programmable Inference for PDEs in Turing.jl. cc @CambridgeMLG cezanneondemand.intervieweb.…

It was a cold start when I started recruiting contributors for @TuringLang using a small budget from @ZoubinGhahrama1, but things went quite well.

The State of Julia talk, which is my favorite one of each year. Quick summary: @JuliaConOrg

The Fusion team @GoogleDeepMind has open sourced Torax: our fast & differentiable Tokamak simulator to accelerate the use of AI in the development of practical systems for Fusion energy generation. @jon_citrin Paper: arxiv.org/abs/2406.06718 Code: github.com/google-deepmind/t…

It would be even better if we could run some variant of parallel tempering to accelerate mixing.

We are excited to announce that Turing.jl is participating in Google Summer of Code 2024 under @JuliaLanguage organization. Check out the projects at julialang.org/jsoc/gsoc/turi… and in 🧵. Contributors will be able to interact with the Alan Turing Institute @turinginst. #GSoC

I’m learning @JuliaLanguage and oh my it is a mighty tool for all scientists! I'm dealing w/ diff eqns to fit mechanistic-statistical models to noisy data. I've gathered examples from others incl logistic, Lotka-Volterra & reaction-diffusion (fisher-KPP). github.com/oliviergimenez/me…

A highlight of the #NeurIPS2023 meetup in Cambridge for me was Carl Rasmussen's keynote on "Halting Climate Change". Spoiler: it has nothing to do with AI. Worth a watch: youtube.com/watch?v=naFaQsFx…

Looks interesting. Do you have an English translation that @Turinglang can repost?

These prestigious Newton postdoc fellowships might be of interest to some. One postdoc is machine learning-related, "Representing, calibrating and leveraging prediction uncertainty from statistics to machine learning". jobs.cam.ac.uk/job/43965/

The Cambridge Machine Learning group is offering PhD positions in Advanced Machine Learning at Cambridge. Application deadline: December 5, 2023. Details about the application process can be found here: mlg.eng.cam.ac.uk/phd_progra…

And once you install @TuringLang, youre a few chars away from doing your inference with 🚀MUSE🚀 instead of grandma's 🐌HMC🐌

A new (very) short paper for a special issue in Laboratory Animals has been accepted, provocatively titled "Causal mediation analysis: How to avoid fooling yourself that X causes Y". It was fun writing the models in @TuringLang and @JuliaLanguage stanlazic.github.io/PDF/2023…