Hiroshi Ishii and the Tangible Media Group at the MIT Media Lab have pioneered new ways for people to interact with computers, with the invention of the “tangible user interface.”It began with a vision of "Tangible Bits," where users can manipulate ordinary physical objects to access digital information. It evolved into a bolder vision of "Radical Atoms," where materials can change form and reconfigure themselves just as pixels can on a screen. This experimental exhibit of three iconic works — SandScape, inFORM, and TRANSFORM — is part of the MIT Museum's ongoing efforts to collect the physical machines as well as preserve the user experience of, in Ishii's words, making atoms dance.Learn more about the exhibits here, or watch the YouTube video of Hiroshi Ishii's talk at the MIT Museum below.This is an ongoing exhibition in our MIT Collects exhibition.

Janet Echelman's Remembering the Future widens our perspective in time, giving sculptural form to the history of the Earth's climate from the last ice age to the present moment, and then branching out to visualize multiple potential futures.Constructed from colored twines and ropes that are braided, knotted and hand-spliced to create a three-dimensional form, the immersive artwork greets you with its grand scale presiding over the MIT Museum lobby.This large-scale installation by 2022-2024 MIT Distinguished Visiting Artist Janet Echelman, was developed during her residency at the MIT Center for Art, Science & Technology (CAST). Architect, engineer and MIT Associate Professor Caitlin Mueller collaborated on the development of the piece.The title, Remembering the Future was inspired by the writings commonly attributed to Søren Kierkegaard: "The most painful state of being is remembering the future, particularly the one you'll never have."As the culmination of three years of dedicated research and collaboration, this site-specific installation explores Earth's climate timeline, translating historical records and possible futures into sculptural form.Echelman's climate research for this project was guided by Professor Raffaele Ferrari and the MIT Lorenz Center, creators of En-ROADS simulator which uses current climate data and modeling to visualize the impact of environmental policies and actions on energy systems.Learn more about Janet Echelman and the MIT Museum x CAST Collaboration.Learn more about the exhibition at the MIT Museum.

On view October 1 -- December 11, 2025This exhibition draws on archival materials from the Aga Khan Documentation Center at MIT (AKDC) to explore a century of cultural heritage preservation in Aleppo, Syria. It takes as its point of departure the work of Kamil al-Ghazzi (1853–1933), the pioneering Aleppine historian whose influential three-volume chronicle, Nahr al-Dhahab fī Tārīkh Ḥalab (The River of Gold in the History of Aleppo), was published between 1924 and 1926.Ink, Stone, and Silver Light presents three modes of documentation—manuscript, built form, and photography—through which Aleppo’s urban memory has been recorded and preserved. Featuring figures such as Michel Écochard and Yasser Tabbaa alongside al-Ghazzi, the exhibition traces overlapping efforts to capture the spirit of a city shaped by commerce, craft, and coexistence. At a time when Syria again confronts upheaval and displacement, these archival fragments offer models for preserving the past while envisioning futures rooted in dignity, knowledge, and place.

Eversource is hosting an in-person Q&A session to provides information about specific impacts to the MIT community and what to expect during construction of the Greater Cambridge Energy Program throughout MIT's Cambridge campus. Construction is underway on Ames Street.The Greater Cambridge Energy Program (GCEP), being led and implemented by Eversource and the City of Cambridge, is designed to address the region’s growing electric demand and enhance the resiliency and flexibility of the transmission system and the grid. Find more details about the project and impacts here.

Please join us for CSAIL Forum with Prof. Sam MaddenSpeaker: Sam Madden, College of Computing Distinguished Professor Date/time: Tuesday 12:00-1:00 EDT, November 18, 2025 Virtual via Zoom: Registration required Title: How I Learned to Start Querying and Love AIAbstract: Over the past five decades, the relational database model has proven to be a scaleable and adaptable model for querying a variety of structured data, with use cases in analytics, transactions, graphs, streaming and more. However, most of the world’s data is unstructured. Thus, despite their success, the reality is that the vast majority of the world’s data has remained beyond the reach of relational systems. The rise of deep learning and generative AI offers an opportunity to change this. These models provide a stunning capability to extract semantic understanding from almost any type of document, including text, images, and video which can extend the reach of databases to all the world's data. In this talk I explore how these new technologies will transform the way we build database management software, creating new systems that can ingest, store, process, and query all data. Building such systems presents many opportunities and challenges. In this talk I focus on three: scalability, correctness, and reliability, and argue that the declarative programming paradigm that has served relational systems so well offers a path forward in the new world of AI data systems as well. To illustrate this, I describe several examples of such declarative AI systems we have built in document and video processing, and provide a set of research challenges and opportunities to guide research in this exciting area going forward.Bio: Samuel Madden is the College of Computing Distinguished Professor of Computing at MIT. His research interests include databases, distributed computing, and AI systems. Past research projects include learned database systems, the C-Store column-oriented database system, and the CarTel mobile sensor network system. Madden heads the Data Systems Group at MIT and the Data Science and AI Lab (DSAIL), an industry supported collaboration focused on developing systems that use AI and machine learning.Madden received his Ph.D. from the University of California at Berkeley in 2003 where he worked on the TinyDB system for data collection from sensor networks. Madden was named one of Technology Review's Top 35 Under 35 in 2005 and an ACM Fellow in 2020, and is the recipient of several awards including the SIGMOD Edgar F. Codd Innovations Award and "test of time" awards from VLDB, SIGMOD, SIGMOBILE, and SenSys. He is the co-founder and Chief Scientist at Cambridge Mobile Telematics, which develops technology to make roads safer and drivers better.

Speakers: Eric Gaze (Bowdoin College)Title: Quantitative Reasoning for Data Analysis and Student EmpowermentAbstract: In this talk, I will share my insights from creating and teaching Quantitative Reasoning (QR) courses over the past 25 years. In particular, we will explore how to use spreadsheets to engage students in QR classes. The ultimate goal for these courses is to produce quantitatively literate students capable of actively participating as citizens and workers in the 21st century. QR courses are increasingly being offered as alternative pathways for students seeking a different mathematical experience from the traditional college algebra route. Spreadsheets are a powerful means of developing quantitative and algebraic reasoning skills in our students, providing context rich problems with financial and statistical applications.Zoom link: https://cornell.zoom.us/j/92415199317Zoom Link Password: olsumeFor more information on OLSUME: https://olsume.org/