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This project seeks to explore and further develop the concept of "Symbiotic Virtuosity," where artificial intelligence (AI) and human music…
A City-Stack Powered by Decentralized AIOverviewMIT Kumbhathon, hosted at the MIT Media Lab, is pioneering a revolutionary approach t…
Our research focuses on expanding the use of multimodal AI in education beyond the common modalities of text and speech. We're exploring ho…
Many tasks are not easily defined and/or too complex for supervised machine learning approaches. For these reasons, a technique known as&nb…
Depending on the operational environment of an autonomous system, a great deal of perceptual uncertainty may be introduced to an object det…
Navigation for autonomous UAVS (unmanned aerial vehicles) is a complex problem and physical field testing of associated tasks introduces a …
With the advent of real-time photorealism (RTPR), virtual environments are now able to achieve higher degrees of engagement than ever befor…
Before automobiles were invented and widely adopted, animals like horses were the most common mode of transportation. While this change bro…
Audio-visual data set containing around 21.6 hours of parent-child interaction during story reading.The DAMI-P2C dataset consists of audio-…
The acquisition of training data is crucial for machine learning applications. Data markets can increase the supply of data, particularly i…
The Atlas of Opportunity is a platform that allows communities to derive insights from their own data. The tool was created in collabo…
We crowdsourced and published a first-of-its-kind open dataset that contains Amazon purchase histories, spanning 2018 to 2022, from more th…
CommunityLM is a research program from MIT Center for Constructive Communication (CCC) and MIT Media Lab. We are devoted to developing soci…
Spoken language is an information-rich medium that combines words with various paralinguistic information such as emotion and prosody. In d…
Our Oceans IoT technologies enable new applications in climate and ecological monitoring, aquaculture, energy, and robotic navigation. …
Latent Lab - Navigating Innovation: Interactive Data Exploration & InspirationLatent Lab is an AI-driven, graphical knowledge expl…
This project transforms light into glass sculptures. I developed a software systems to capture photographs of sunlight moving th…
Ancestral Storytelling: Movement + Memory embodies motion capture techniques for an interactive and immersive movement and sonic healing pe…
For details and recent updates visit: https://web.mit.edu/deblina-sarkar/Nanoelectronics has the potential to enable radical too…
2D Spintronic and Neuromorphic Devices for Sustainable Artificial Intelligence
The Brain Switch is a real-time, closed-loop brain-computer system allowing for real-time correspondence of simple user needs to a caretake…
One of the highlighted projects merging technology with the beauty and craftsmanship of fine arts, the Living Knitwork Pavilion recently re…
This paper introduces WatchThis, a novel wearable device that enables natural language interactions with real-world objects and environment…
Modeling protein-protein interactions is a necessary step for elucidating the mechanisms behind fundamental biological processes. Recent ad…
We are working to design healing socio-digital interventions with and for youth who have experienced developmental trauma, or chronic stre…
In the contemporary media landscape dominated by discourse surrounding AI-generated content, this project inverts the paradigm by examining…
This project's vision is to unify sensors and signals from diverse domains, including physical, health, weather, and more, into a common la…
This project focuses on developing a robust framework for processing continuous sensor data using change point detection, tokenization, and…
Multimodal learning emerged as a promising frontier in artificial intelligence, offering innovative approaches to harnessing the inhe…
A distributed sensing system for managing water resources in informal communities.
Humanizing Agent-Based Models (h-ABM) emerges as a pioneering technique to simulate real-world behaviors, aiming to seamlessly bridge …
We propose a computational approach to preserve traditional dance as living cultural heritage, exploring the use of technology to capture k…
The project aims to develop a programmable smart patch for delivering substances, that could improve cognition (e.g., caffeine, the in…
In 2016, a research paper by Carlsten et. al proposed a specific type of mining attack that could occur once block subsidies disappear call…
This project is working on understanding and implementing privacy preserving payments in CBDC. After surveying privacy techniques from cryp…
This project explores multi-person conversation flow, likening it to a dance where participants must coordinate their steps effectively. Ef…
We propose an approach for aligning an LLM- based dialogue agent for long-term social dialogue, where there is only a single global score g…
There are some security risks in PArSEC as is – namely, embedding a general-purpose language exposes the system and Lua smart contracts hav…
Bitcoin is the leading public permissionless digital currency. Bitcoin uses a public ledger to achieve strong security properties and doubl…
This paper provides an overview of blockchain technology and smart contracts and explains how they enable multiple parties to deploy and ex…
We are conducting collaborative research on design and engineering options for a hypothetical central bank digital currency. The work may i…
Assessing and understanding operationally-relevant performance is key to helping ensure safety in complex, dynamic environments. Two curren…
During constituency listening processes (CLPs; e.g., town halls), leaders hear directly from community members about their needs and inter…
Enhancing Apple Vision Pro headset with brain sensing capabilities via non-invasive brain sensing (Electroencephalography - EEG)…
How can we make embodied agents have multimodal conversation with individual and group users that is not only natural, but also relational,…
An embodied virtual agent is a promising oracle for delivering appropriate just-in time interventions. We aim to build a system and design …
We seek to empower everyone to become conscientious consumers, ethical engineers, creative problem solvers, and informed advocates for resp…
The DCI’s Bitcoin Core developers have been reviewing and guiding Hennadii Stepanov's work to migrate to the CMake buildsystem, which was m…
We are building autonomous agents that are socially and emotionally saturated in single-person (child-robot) or multi-party (child-parent-r…
The rapid advancement of Generative AI (GenAI) technologies presents new opportunities to support daily living for older adults. This proje…
Bitcoin miners compete to earn a block reward by applying hashrate to solve a puzzle set by the code. Equilibrium hashrate is a function of…
We posit that robots in human-robot interaction, despite differences in embodiment, roles and tasks, require a common set of social reasoni…
Sound is a powerful force, capable of enriching our lives and disrupting them in equal measure. Unwanted sonic interference intrudes upon o…
We create and employ ethical design frameworks to work towards equitable and inclusive HRI research and technologies.
This research explores the effects of LLM use on the brain. In one of the studies we recorded brain activity of 55 participants while …
Our research group designs various hardware and software platforms that can be used to do scientific experiments or implement a particular …
A new way to help people with neurodivergence to manage emotion regulation and understand their stress response.Participants describe their…
Children today are more digitally connected than ever before, with increasing exposure to tablets, social media, and smartphones. As techno…
The study of human behavior in urban environment is an important field in city sciences. However, it's usually not easy to collect behavior…
CityFlow is a versatile tool that allows users to design, evaluate, and visualize urban solutions through an llm-integrated, case-based sys…