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#ai4science

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MottG

(copied from post on X by Jure Leskovec)

Announcing Biomni — the first general-purpose biomedical AI agent. Biomni is a free web platform where biomedical scientists can immediately delegate their tasks to Biomni.

Biomni is an open-source initiative: we invite the community to build on it and advance biomedical research at scale.
- Try it now: biomni.stanford.edu
- Paper: biomni.stanford.edu/paper.pdf
- Code: github.com/snap-stanford/biomn

#research #medicine #AI4Science
#AItools #bioinformatics

Screenshot of summary details of capabilities of Biomni environment.
Screenshot of part of Jure Leskovic's post on X describing the capabilities of Biomni.
Public
Dr. Chris Rackauckas :julia:

New blog post: Machine learning with hard constraints: Neural Differential-Algebraic Equations (DAEs) as a general formalism.

stochasticlifestyle.com/machin

Stochastic Lifestyle · Machine learning with hard constraints: Neural Differential-Algebraic Equations (DAEs) as a general formalism - Stochastic LifestyleWe recently released a new manuscript Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints where we showed a way to develop neural networks where any arbitrary constraint function can be directly imposed throughout the evolution equation to near floating point accuracy. However, in true academic form it focuses directly on getting to the point about the architecture, but here I want to elaborate about the mathematical structures that surround the object, particularly the differential-algebraic equation (DAE), how its various formulations lead to the various architectures (such as stabilized neural ODEs), and elaborate on the other related architectures which haven’t had a paper yet but how you’d do it (and in what circumstances they would make sense).
#sciml#ai4science#hardconstraints
Public
Dr. Chris Rackauckas :julia:

New blog post: How chaotic is chaos? How some AI for Science / SciML papers are overstating accuracy claims.

stochasticlifestyle.com/how-ch

Stochastic Lifestyle · How chaotic is chaos? How some AI for Science / SciML papers are overstating accuracy claims - Stochastic LifestyleJust how chaotic are chaotic systems? Many of you may have heard of “the butterfly effect” but don’t quite know the mathematics behind such systems. What I want to demonstrate is the “sensitive dependence to initial conditions” property of chaotic systems and just how sensitive these systems are. The reason this has come up is that I have seen some AI papers claiming to be able to predict the timeseries of a chaotic system (many more can be found online too, just highlighting a few random ones). What I want to bring to the forefront is an examination of what is really being claimed: just how hard is it to actually forecast a chaotic system? And if they aren’t doing that, what have they done instead? Quick Understanding of Chaos: Sensitive Dependence and the Shadowing Lemma First of ... READ MORE
#julialang#sciml#chaos
Public
Thomas Ekman Jorgensen

The #EU Commission has published guidelines for using #generativeAI in #research. Mostly non-surprising content. It is noticeable, however, that there is a strong recommendation to "implement locally hosted or cloud-based generative #AI tools that [research performing organisations] govern themselves", instead of using #bigtech providers.

#EUpolicy #ArtificialIntelligence #ai4science

research-and-innovation.ec.eur

Research and innovationGuidelines on the responsible use of generative AI in research developed by the European Research Area ForumResearch and innovation news alert: The Commission, together with the European Research Area countries and stakeholders, has put forward a set of guidelines to support the European research community in their responsible use of generative artificial intelligence (AI).
Public
Thomas Ekman Jorgensen

“We need to facilitate a discussion about what the real issues are [concerning #highered #research and #AI]. What do we know, what do we need to know? It’s been a year of experimentation, really. We can begin to share the outcomes of that experimentation, maybe share a bit about the methods of that experimentation,”

Good, longish read in University World News about where we are on #AI #generativeAI #ChatGPT #AI4Science

universityworldnews.com/post.p

University World NewsGenerative AI action hints at core future roles in universitiesWith the arrival of generative AI such as ChatGPT, science fiction took a big step towards fact. Last year, universities explored the implications of ...
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