MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

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

Register for the Machine Learning in Business course taught by industry thought leaders from CSAIL and MIT Sloan School of Management. The upcoming machine learning course will provide a baseline to basic machine learning concepts and take you beyond primary application into effective implementation. The business course will demonstrate ways to develop sound machine learning strategies and empower you to apply cogent machine learning models within your current business structure. The course begins Wednesday, February 5. Register here: https://bit.ly/3KPLTIr

This month’s Alliances podcast is a double feature. First up, Associate Professor and Chief Health AI Officer at the University of California San Diego Karandeep Singh explains the reality of using artificial intelligence for medicine. Professor Singh extrapolates on what works, what doesn’t, and how some challenges are social rather than technical. Plus, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)'s Assistant Professor Andreea Bobu explains how large language models are advancing the field of robotics. Thanks to LLMs, giving directions to robots might soon look more like a conversation, without the need for step-by-step commands. Listen to the podcast with host Kara Miller: https://bit.ly/4ed7lp1

ICYMI: MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Startup Connect member Dynamo AI aims to help companies navigate the changing landscape of AI technology with products designed to offer end-to-end privacy, security, and compliance solutions. Dynamo AI collaborates with the lab by leveraging its connections for talent recruitment, business exposure, and strategic insights. The company hires PhDs from Massachusetts Institute of Technology, participates in CSAIL Alliances conferences, and tailors its products based on industry feedback from these events. Read more about how Dynamo AI collaborates with CSAIL: https://bit.ly/4cfx6Eb

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and MIT Sloan School of Management are collaborating on a course that offers insight into artificial intelligence trends, best approaches and latest developments to enhance your business strategies. The course will introduce ways to best prepare your company for the new era by reviewing organizational and managerial structures and how to develop an effective roadmap and avenues to ensure a sustainable business infrastructure. The course starts Wednesday, November 27. Register now: https://bit.ly/3cG25jM

In scientific research, measurements that are too small to be quantified are usually labeled as "below the limit of quantification" & discarded. MIT CSAIL researchers recently developed the "hypometric genetics" approach, which uses these typically disregarded measurements to improve genetic discovery up to 2.8x. Their method could impact personalized genomic medicine & drug development: https://bit.ly/3UqC8rm Credits: Manolis Kellis, Yosuke Tanigawa, Broad Institute of MIT and Harvard, & UK Biobank