Title: Synthesis and perception of sounds from physical interactions reveals auditory intuitive physicsSpeaker: Vinayak Agarwal Abstract: Object interactions – collisions, scraping and rolling – create many of the sounds that we hear in the world around us. These sounds are generated via lawful physical dynamics. Anecdotally, humans possess some intuitive knowledge of the physical generative processes underlying sound production, but little is known about the extent and nature of this knowledge. This thesis characterizes the auditory perception of physical object interactions, making three main contributions. First, we develop realistic contact sound synthesis tools, in part via large-scale measurements of object acoustics. Second, we show that humans solve ill-posed problems of inferring object mass and damping by using internalized knowledge of the distribution of object resonances. Third, we provide evidence for “auditory intuitive physics” in which human listeners derive physical information through sound, maintain it over time in object representations, and compare it across sensory modalities.

Registration is now open!Before the start of each semester, TLL offers a series of workshops for TAs and teacher trainees to help them prepare for the roles and responsibilities of the position of teaching at MIT. Topics include giving feedback, presenting a class session, and facilitating office hours, among other practical subjects related to teaching. Please visit our Teaching Days page to view the full schedule and location for each of the workshops . Register via CanvasPlease note that the IAP 2025 Teaching Days schedule includes a mix of in-person and online sessions.

Design, build and test your own laptop-based radar capable of forming Doppler, range and synthetic aperature radar (SAR) images. Must register by 1/22/2025Dates: Jan 27th, 29th, 31stTime: 10:30 AM - 12:30 PM ESTLocation: 33-419Registration Opens: November 25, 2024To register email: kenneth.koloddziej@ll.mit.edu

Oscar Volpe, University of Chicago

This IAP will have 4 sessions, you can choose which one(s) you would like to attend.You are invited to exciting presentations by researchers from MIT Lincoln Laboratory, showcasing the latest advancements in topics such as Space Exploration, Advanced Materials and Next-Gen Weather.Event Details: 📅 Date: January 10, 2025 - Laser Communication to Enable Space Exploration Speaker: Dr. Farzana Khatri 🕒 Time: 10:30 AM 📍 Location: NE45 MIT Beaver WorksEvent Details: 📅 Date: January 17, 2025 - Accelerated Discovery of Advanced Materials Speaker: Kevin Tibbetts and Mark Polking 🕒 Time: 10:30 AM 📍 Location: NE45 MIT Beaver WorksEvent Details: 📅 Date: January 24, 2025 - Next-Generation Weather Radar Speaker: Christine Parry 🕒 Time: 10:30 AM 📍 Location: MIT Bldg 32-D677Event Details: 📅 Date: January 31, 2025 - Advanced Remote Sensing for Disaster Response Speaker: Daniel Dumanis and Chad Council 🕒 Time: 10:30 AM 📍 Location: MIT Bldg 45-344You are invited to an exciting presentation by researchers from MIT Lincoln Laboratory, showcasing the latest advancements in Laser Communication to Enable Space Exploration, new Advanced Materials and Next Generation Weather Radar. Attendees will gain insights into cutting-edge research, practical applications, and emerging trends in the field.Why Attend?Learn directly from Lincoln Laboratory expertsExplore potential collaborations and research opportunitiesEngage in a Q&A session to deepen your understandingDon’t miss this opportunity to connect with leading innovators and discover how Lincoln Laboratory is driving technological breakthroughs.Registration Opens November 25Link for registration: https://mit-bwsi.formstack.com/forms/iap_seminar_series

Are you working on an AI or machine learning project and you have a training dataset or code that you would like to publicly share? Come to this workshop for tips on best practices for sharing ML/AI data, especially for smaller and specialty datasets. We'll cover repository options and their pros and cons, documentation, licenses and citation standards. We'll also cover other resources available from the MIT Libraries data management services, including help with writing data management plans for grants.This workshop will be on Zoom and the link will be sent to registrants. Open to all, though some resources mentioned may be restricted to MIT affiliates.See the related workshop "Can I use this data for machine learning?" on January 24 if you are looking for sources of training data.Register here.