Excited to share our
@Nature paper on the role of AI in scientific discovery 🌟🔬
#AI4Science
AI is transforming discovery across sciences 🤖🔍 From hypothesis generation to data interpretation, it is reshaping all stages of research in ways we could not imagine using traditional methods alone
rdcu.be/dinBA
Scientific process can benefit tremendously from powerful AI methods. The past decade has seen breakthroughs:
We can leverage vast amounts of unlabeled data thanks to self-supervised learning
Generative AI is a game-changer in molecular design
Analyzing diverse data modalities like images and sequences sparks innovation like never before
Grand challenges remain as we venture into uncharted AI territory:
1⃣ Implementation: Self-driving labs and autonomous discovery, open data and data re-use, transparency and practical considerations
2⃣ Machine learning foundations: Causality and OOD generalization, multimodal learning, model understanding, knowledge-grounded models
3⃣ Changes in scientific enterprise: Conduct of science, big science, stewardship and education of workforce, misuse and safety
Join us at the 4th AI4Science meeting
@NeurIPSConf later this year to continue these conversations
@AI_for_Science
Grateful for a stellar team of brilliant first authors, Hanchen Wang,
@TianfanFu @YuanqiD
Thankful to collaborators across 38 institutions and three continents
@Harvard @Stanford @MIT @GoogleDeepMind @HarvardMed @MSFTResearch @Cornell @BrownUniversity @Cambridge_Uni @Caltech @GeorgiaTech @UofIllinois @Princeton @CarnegieMellon @nyuniversity @mbzuai @Mila_Quebec @nvidia @HEC_Montreal @genentech
Thanks to A. Brandt
@HarvardHistSci for sharing lessons from history and philosophy of science
@AnimaAnandkumar @cwcoley @WenhaoGao1 @KexinHuang5 @payal_chandak @Shengchao_Liu Peter Van Katwyk
@andreeadeac22 @KarianneBergen @ZimingLiu11 Carla Gomes
@cosmo_shirley @pushmeet Joan Lasenby
@jure Tie-Yan Liu
@arjunmanrai @deboramarks @rbhar90 Le Song
@jimeng @tangjianpku @PetarV_93 @wellingmax Linfeng Zhang Yoshua Bengio