March 2024 Newsletter

March 2024 Newsletter

CSAIL Alliances Podcast

CSAIL Director Prof. Daniela Rus is the co-author of the new book,?The Heart and the Chip, which explores how we can use a new generation of smart machines to help humankind. Professor Rus joins Kara Miller to discuss how she believes robotics will enhance our lives. Listen to the podcast here: https://bit.ly/4ae5leq

Student Spotlight

Zhutian Yang is a PhD candidate at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) working on robot learning and robot planning for long-horizon mobile manipulation problems. In her research, Yang is making progress solving open-ended household problems given to mobile robots by integrating the common-sense knowledge of large language models (LLMs) with the geometric reasoning abilities of task and motion planners. Learn more about Zhutian and her research: https://bit.ly/4a9ADE1

Event Summary

In February, Perkins School for the Blind and MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) collaborated on #HackDisability: AI for Accessibility. This three-day event was designed to accelerate the development of accessible innovation and apply the incredible potential of AI toward solving known challenges facing people with disabilities. Learn more about the hackathon: https://bit.ly/3TxGBsm

Upcoming Events and Professional Programs

March 27, 2024 | Digital Course - Human-Computer Interaction for User Experience Design

April 2-4, 2024 | Hybrid Event - Alliances Members-only Annual Meeting - CSAIL Alliance members visit campus for an all-access look inside current research and startups. Reach out to your Alliances client relations coordinator to register.

April 3, 2024 | Digital Course - Machine Learning in Business

April 17, 2024 | Digital Course - Artificial Intelligence: Implications for Business Strategy

Visit CSAIL Alliances for more information, new content, upcoming events and professional programs, and an inside look at MIT CSAIL.

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Hadi Fanaee-T

Associate Professor in Machine Learning

11 个月

Revolution in Interpretability: 99.43% accuracy using only 3 pixels from 2 samples on MNIST dataset (0 vs. 1); 98.05% accuracy using data of 2 patients and three genes (Colon Cancer). 97.40% by just data from two patients and four variables (HIV data). See more at www.natural-learning.cc

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Jasmeet Singh

A family member of Shri @narendramodi Ji, full time @BJP worker, aspiring entrepreneur & cohort member at Insurjo' 24. Willing ?? to contribute to building a thriving nation in the best possible way.

1 年

I believe that thriving research and development in Cutting Edge technology would solve the problems of those jobs in which the back of a person hurts.

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