Can AI help scientists discover new scientific laws?
Many of the most important advances in science are expressed as mathematical relationships. But discovering those relationships directly from data remains one of the hardest problems in AI.
So how do we solve it?
@ExperianExperts I have a paid Credit Expert subscription and am trying to reach an agent by using the Call Us option. After I provide the code etc., the line simply disconnects before I get put through to an agent. What is going on?
We’re proud of our latest van der Schaar alumni, now taking on exciting roles:
Nabeel Seedat - @thomsonreuters
Sam Holt & Hao Sun - @GoogleDeepMind
Alan Jeffares - @MistralAI
Wishing them every success as they continue shaping the future of #AI!
I spoke with @TomMackenzieTV on Bloomberg @technology about how AI is reshaping drug discovery and medicine.
As Director of the @CC4AIM, I shared why good data, rigorous trials & equity matter just as much as new molecules.
Watch the full interview here: https://t.co/PO9hIskfHl
Truly special to see so many current and former members of the van der Schaar Lab at #ICML2025! A fantastic conference — not just for our record paper count, but for the strong sense of community across years and continents. Excited to keep pushing the boundaries of ML!
A record number of van der Schaar Lab papers accepted to #ICML2025, placing joint-first among the research groups!
None of this would be possible without the energy & dedication of our students, the generosity of our collaborators & the time volunteered by reviewers & organisers.
15 van der Schaar Lab papers at #ICML2025
Reality-centric AI: LLM+RL synergy, digital twins, causal alignment, metacognitive agents & more.
1 Spotlight • 1 Oral • 13 Posters
All links 👉 https://t.co/5fCB9Dus7u
#AI#ML
I’m tired of telling AI what to do. I want AI that truly helps me do things better! That’s why I’ve written about “Genies”—AI that thinks, learns, and co-creates with us. 1/5
I'm excited to speak about #CliMBDC (https://t.co/DnKcXjHdyh) at @JohnsHopkins & to discuss its potential to empower clinical researchers with @DNewmanToker. Join us tomorrow to learn about this intuitive tool that harnesses AI for real-world impact: https://t.co/j8m34iYK6k
@EE what's happening - the Manage page is down in the Account, the service status checker is down, now that's ironic. Just as I am trying to move to EE from @ThreeUK. Not a great first impression 😂
@EE Just reloaded the Manage plans page, it's working for me now. Maybe it was just being weird because my account was just created ✅
The service status page seems down, but that's not as much of an immediate issue
Introducing #CliMBDC! This LLM-powered copilot combines data-centric AI tools & advanced reasoning to solve complex data challenges in healthcare research & beyond.
CliMB-DC can perform data management & build predictive models using natural language in a single conversation 1/2
We tried really really hard to make Devin (the coding agent) work for us.
But it didn't.
Check out Hamel's detailed writeup blog linked below, describing the many tasks of many types we explored, nearly all of which failed.
We remain less than bullish on agents...
Data is THE powerful resource for healthcare, but many professionals lack the coding skills to harness it. In today’s #InspirationExchange, we explore how LLM Co-Pilots can empower them - and how data-centric researchers can make these tools even better: https://t.co/03T511l826
We are excited to release #CliMB, a no-code AI-enabled partner for clinical predictive modelling! This proof of concept is a big step towards breaking barriers and #empowering clinical researchers to build predictive models using cutting-edge tools! More: https://t.co/KjKiSwnaQp
Since GPT3, we have known that large Transformer language models are effective few-shot learners.
But did you know that the nature of language itself makes language particularly rich pre-training data for inducing few-shot learning?
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