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
