The 16th International Conference will be hosted at Stevens Institute of Technology from Aug 1st to Aug 3rd.
Full paper submission deadline is: May 15
Abstract submission deadline is: June 01
Conference websites: https://t.co/PR6SwNSxgi
https://t.co/L7NXJj2RPU
Teaching a new course @Stanford this quarter on explainable AI, motivated by neuroscience. I have curated a paper list 4 pages long (link in comment). What are your favorite papers on explainable AI/mechanistic interpretability that I am missing? Please comment or DM. thanks!
Brains seem to be wired so that signals are “just right”. This paper argues that there is a special “sweet spot” in how the brain is organized that keeps activity balanced.
https://t.co/kIIAqCbYAM
#neuroscience
More than 100 years ago, on this day, Chinese students protested against the unfair decision of the Paris Peace Conference, which transferred Germany’s former rights in Shandong to Japan instead of returning them to China. What began as a student protest soon grew into a nationwide movement against imperialism, political weakness, and tyranny.
The May Fourth Movement became a powerful call for national dignity, democracy, science, and modernization. It inspired a new generation of Chinese intellectuals to challenge old traditions, pursue social reform, and seek a stronger and more independent China.
More than a century later, the spirit of May Fourth still reminds us that young people can play a vital role in defending justice, speaking truth to power, and shaping the future of a nation.
Introducing a generalist EEG-to-text foundation model designed to translate electrophysiological segments into precise clinical narratives. Title: NeuroNarrator: A Generalist EEG-to-Text Foundation Model for Clinical Interpretation via Spectro-Spatial Grounding and Temporal State-Space Reasoning https://t.co/IvZNEGFeCr
When spotting what’s changed from one scene to the next, performance will depend on a low-frequency “theta” brain wave that scans the mental image, a new MIT study in @NeuroCellPress shows https://t.co/kMQb7nRZaz #neuroscience#cognition@ScienceMIT@mitbrainandcog
Creative Minds, Younger Brains: Engaging in music, dance, painting, or even (some) gaming is linked to delayed brain aging.
Article: https://t.co/04vS4dgVQs.
🧵1/5
Biophysical modeling, graph theory, and Neurosynth analyses reveal plasticity-driven efficiency in regions most vulnerable to aging. Out Today in @NatureComms, congrats @carlosmig_12 and colls! @CreativeAgeIntl@j_artshealthlab@CreativeBrainWk
If you believe free speech is for you but not your political opponents, you're illiberal.
If no contrary evidence could change your beliefs, you're a fundamentalist.
If you believe the state should punish those with contrary views, you're a totalitarian.
If you believe political opponents should be punished with violence or death, you're a terrorist.
MIT Course announcement: Machine Learning for Computational Biology #MLCB25
Fall'24 Lecture Videos: https://t.co/tA3zeuIF7g
Fall'24 Lecture Notes: https://t.co/C3WmXZuQur
(a) Genomes: Statistical genomics, gene regulation, genome language models, chromatin structure, 3D genome topology, epigenomics, regulatory networks.
(b) Proteins: Protein language models, structure and folding, protein design, cryo-EM, AlphaFold2, transformers, multimodal joint representation learning.
(c) Therapeutics: Chemical landscapes, small-molecule representation, docking, structure-function embeddings, agentic drug discovery, disease circuitry, and target identification.
(d) Patients: Electronic health records, medical genomics, genetic variation, comparative genomics, evolutionary evidence, patient latent representation, AI-driven systems biology.
Foundations and frontiers of computational biology, combining theory with practice. Generative AI, foundation models, machine learning, algorithm design, influential problems and techniques, analysis of large-scale biological datasets, applications to human disease and drug discovery.
First Lecture: Thu Sept 4 at 1pm in 32-144
With: Prof. Manolis Kellis @manoliskellis, Prof. Eric Alm @ejalm, TAs: Ananth Shyamal, Shitong Luo @luost26
Course website: https://t.co/ateGr6xKLM
@MIT@MITEECS@MITdeptofBE@MITCSBPhD@MIT_CSAIL@Harvard@HarvardMed@BroadInstitute