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MIT Brain and Cognitive Sciences

MIT Brain and Cognitive Science (BCS) specializes in understanding all aspects of the human brain and neuroscience. In 2024, BSC added 6PB of storage and 32 H100 GPUs to MIT’s Office of Research Computing and Data (ORCD) environment, deployed for developing cutting-edge knowledge from brain imaging to artificial intelligence.

The OpenMind system is a collaboration between the Department of Brain and Cognitive Sciences (BCS) and McGovern Institute at MIT. It became formally associated with ORCD in 2023.

OpenMind serves as a platform that integrates computational tools, data resources, and collaborative frameworks to enhance research capabilities in cognitive science. It focuses on creating a shared environment where researchers can access high-performance computing resources, large datasets, and advanced analytical tools, facilitating complex data analysis and simulations related to cognitive processes and brain function.

Principally comprised of a GPU computing cluster optimized for artificial intelligence (AI) research and data science, it boasts around 70 compute nodes, 3500 CPU cores, 48 TB of RAM, and 340 GPUs, including 142 A100-80GB GPUs. It also provides around 2 PB of flash storage supporting fast read/write data speed.

Brain and Cognitive Sciences Department, MIT

Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute - Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer - Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
QuEra at the MGHPCC
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Measuring Neutrino Mass
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Fuzzing the Linux Kernel
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer's Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Avoiding Smash Hits
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Neurocognition at the Wu Tsai Institute, Yale
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
All Research Projects

Collaborative projects

ALL Collaborative PROJECTS

Outreach & Education Projects

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