MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

ICYMI: George Westerman, a Senior Lecturer MIT Sloan School of Management and Founder of the Global Opportunity Initiative, discusses the future of AI, the opportunities it presents, as well as some potential pitfalls with host Kara Miller. Listen: https://bit.ly/3x1fVaO

For roboticists, one challenge towers above the others: there isn’t enough data. To accelerate the deployment of intelligent robots in the real world, MIT CSAIL’s "LucidSim" uses genAI & physics engines to create diverse & realistic virtual training grounds for robots. W/o any real-world data, their robot achieved expert-level performance in difficult tasks: https://bit.ly/4exEZG6 Full video: https://bit.ly/3UQxRxF

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) PhD student Hallee Wong currently works in the lab’s Clinical and Applied Machine Learning Group. Wong and colleagues developed ScribblePrompt, a new approach to rapid interactive image segmentation, which they believe will dramatically improve the annotation process for any new medical image segmentation task desired by clinical researchers or practitioners. The core idea is to use a single streamlined neural network model, trained to handle a diverse array of potential user interactions, biomedical domains, and regions of interest. More about Hallee Wong and ScribblePrompt: https://bit.ly/3UgklD8

"AI is about to break free from 2D computer screen interactions and enter a vibrant, physical world." Looking back at MIT CSAIL Director Daniela Rus's TED Conferences Talk from earlier this year, where she highlighted how AI and robotics introduce a world of possibilities to everyday life: https://lnkd.in/gANph3ER

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Assistant Professor Sara Beery is working on computer science methods that will help scientists approach the giant job of monitoring global biodiversity at scale, tackling real-world challenges such as adapting models for distribution shifts, object identification in visual data, and more. She is also passionate about giving ecologists, biologists, and non-computer scientists the tools to create their own AI solutions, with the aim of leveraging technology to improve and accelerate conservation efforts around the globe. Read more about Prof. Beery and her ongoing research: https://bit.ly/3APmGOO

In honor of #NationalSTEMDay, read how MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) students discovered their niche and how they are focusing on the inclusion of #STEM in all of their future pursuits: https://bit.ly/3V2hqzm

The American Journal of Human Genetics (AJHG) has awarded Yosuke Tanigawa, research scientist and former postdoc at MIT CSAIL and the Broad Institute of MIT and Harvard, the AJHG Award for Outstanding Trainee Publication. Tanigawa received the honor for leading the development of a genetic prediction model that accounts for a wider diversity of genetic ancestries worldwide: https://lnkd.in/e8cf5gCC #ASHG24 #ASHG2024 #AJHG75

Join #MIT #CSAIL researchers at #SC24 for a tutorial experience with "The Julia Language for Productive High-Performance Computing" on Sunday, November 17, 2024, from 1:30 PM to 5:00 PM EST at the Georgia World Congress Center: https://lnkd.in/eghcQb3u This tutorial, led by experts in the field — Alan Edelman, William F. Godoy, Johannes Blaschke, Rabab Alomairy, Ph.D., Julian Samaroo, Mosè Giordano, and Pedro Valero-Lara — will provide attendees with a thorough understanding of how #Julia can be leveraged for high-performance computing applications. Whether you're new to Julia or looking to expand your skills, this session will cover essential topics such as parallelization on Perlmutter with CPU threads and GPUs, distributed memory parallelism using its message passing interface wrapper (MPI.jl), and CPU/GPU performance portable layers on top of GPUs vendor (e.g., #NVIDIA, #AMD, #Metal, and #OneAPI). Participants will gain hands-on experience, setting the stage for accelerating your projects and research. Don't miss out on mastering Julia's powerful capabilities in an engaging and informative environment.

ICYMI: Professor Russ Tedrake leads the Robot Locomotion Group at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). The group’s goal is to build machines which exploit their natural dynamics to achieve extraordinary agility, efficiency, and robustness using rigorous tools from dynamical systems, control theory, and machine learning. In this video Professor Tedrake tours his lab and shares the history, and overview of projects and plans for the future of the lab. See more from the lab's Robot Locomotion Group: https://bit.ly/47VnrjU

In the field of reprogrammable surfaces (or items whose appearances we can digitally alter), users can redesign things like a wall or mug w/important information like health stats. The portable light system & design tool "PortaChrome" uses UV & RGB LEDs to activate photochromic dye, reprogramming everyday objects like shirts. Its accompanying software can help users turn items into multicolor displays of fashion designs & health data: https://bit.ly/3Av0tpa Full X thread: https://bit.ly/3AlO0nX Full video: https://bit.ly/48DfjGI