We are excited to announce that our inaugural 2022 Molecular ML conference site is now live! 😃 Registrations & poster submissions are now open: moml22.jclinic.mit.edu (Students register for free! 🌟 See More Info+ @ registration)
"You get a lot of rejections whatever you do...it is very important to stay optimistic and not let any rejection break you down...just continue and get good work done" — Octavian-Eugen Ganea #RememberOctavian#NeverGiveUp
We are excited to announce the AI for Healthcare Equity Conference, which will take place online on April 12th.
This conference will present machine learning techniques that support fairness, personalization and inclusivity.
Learn more & register here: bit.ly/3pQeuDm
To #RememberOctavian, we will share a series of posts starting today written by Octavian's friends & colleagues. They highlight the transformative research Octavian conducted & include inspiring quotes from an interview he gave on May 5th reflecting on his career. #NeverGiveUp
"#RememberOctavian by Benson Chen: Optimal Transport Graph Neural Networks (OTGNN) was one of the 1st projects that Octavian had worked on when he joined @mit. Inspired by his past research using hyperbolic geometry, Octavian sought new ways of representation & generation...(1/5)
The authors of MolScribe, which uses AI for molecular structure recognition, now present RxnScribe, a model which goes a step further by extracting reaction diagrams & predicting reactions in new diagrams.
Paper: arxiv.org/abs/2305.11845
Code: github.com/thomas0809/Rxn…
We are a group of MIT faculty and students who are collaborating on developing machine learning methods for finding promising antiviral molecules for COVID-19.
Read more about it here: bit.ly/3b8earK
Jameel Clinic Faculty Lead in #AI@BarzilayRegina and @MIT PhD student @YalaTweets are transforming the future of mammograms using artificial intelligence.
Read more in the latest from the @washingtonpost
Severely ill patients with COVID-19 can succumb to bacterial pneumonia as a secondary infection.
We are announcing an open task for predicting activity against the bacteria Pseudomonas aeruginosa, which causes nasty lung infections.
Learn more here: aicures.mit.edu/tasks
AI4Science is a new & growing interdisciplinary field covering a range of scientific areas. "We hope this piece makes it easier to get into one of the subfields & gets even more researchers as excited about the area as we are." — @HannesStaerk
Learn more: arxiv.org/pdf/2307.08423…
