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A new computer vision system turns any shiny object into a camera of sorts, enabling an observer to see around corners or beyond obstruction
Researchers from Fluid Interfaces presented this research at the 2023 CHI Conference on Human Factors in Computing Systems.
Deep Angel is an artificial intelligence that erases objects from photographs. The algorithm is hosted on http://deepangel.media.mit.e…
This research presents the results of a study with 134 participants to explore the effects of learning from an AI-generated virtual in…
Researcher Pattie Maes believes it's crucial to build machines to support our intelligence rather than replace it.
Artificial intelligence can make adults nervous, but experts say exploring it as a family is the best way to understand its pros and cons.
Paper Dreams explores how human creativity can be supported by artificial intelligence.Prior research on AI and creativity has primarily fo…
The segment highlighted Dr. Buolamwini's work on bias in AI.
Smith, A., Schroeder, H., Epstein, Z., Cook, M., Colton, S., & Lippman, A. (2023). Trash to Treasure: Using text-to-image models to inform the design of physical artefacts.
Does using text-to-image models like Stable Diffusion in the creative process affect what people make in the physical world?
Member company Dentsu and the Affective Computing research group have been collaborating on a research project to use smartphone and d…
Kate Darling talks about the film M3gan and the future of artificial intelligence systems designed to have human relationships.
JettSen is an open source mobile sensor system that enables citizens, urban planners, and city officials to collectively address urba…
TerMITes are a wireless environmental sensor platform that enables designers and researchers with the necessary tools to capture envir…
Cynthia Breazeal led an MIT Open Learning pilot program to deliver a customized AI training program for users with varied backgrounds.
A global "AI Bill of Rights" that would help protect fairness, promote accountability, support innovation, and develop ethical guidelines.
Transforming data into knowledge
Tamiko Thiel, an innovator in VR/AR who studied computer graphics and visual imaging, talks about her work and her career.
Discussion on fact-checking and deepfake detection at the Election Misinformation Symposium 2022.
Alum Alexander Reben describes his experience making art with algorithms and considers what the future of the field may bring.
Alumni Nan-Wei Gong and Anirudh Sharma will deliver the 2022 C. Ashton Newhall Endowed Lecture at Elon University.
Media Lab spinoff Butlr, co-founded by Honghao Deng and Jiani Zeng, raises $20 million in a Series A funding round.
Choice is a publishing unit of the Association of College and Research Libraries, a division of the American Library Association.
Critics, practitioners, and researchers like Human Dynamics PhD student Ziv Epstein talk about AI-generated art..
Advancements in machine learning have recently enabled the hyper-realistic synthesis of prose, images, audio and video data, in what is ref…
Co-founded by Professor Rosalind Picard, Empatica develops medical-grade wearables and algorithms for health monitoring and diagnostics.
Different approaches and models have been used to detect driver’s stress and affective states, using physiology, facial expression, and sel…
Machine Learning Technology Readiness Levels (MLTRL) apply systems engineering principles to the development of machine learning algorithms.
Health 0.0
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automated…
Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data so…
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significant…
General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ti…
Dr. Shah was an invited speaker and a contributor at The National Cancer Policy Forum developed workshop series at the The National Academi…
Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) approac…
Staining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various tissue types and m…
Research studies led by Dr. Shah, in collaboration with the United States Food and Drug Administration (FDA), have develope…
Research studies led by Dr. Shah in his laboratory have created new paradigms for using low-cost images captured using simple optical …
Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy. 2022. CommunityLM: Probing Partisan Worldviews from Language Models. In Proceedings of the 29th International Conference on Computational Linguistics (COLING), pages 6818–6826, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
The full text of our paper is available here.Sometimes the thing that we want to see is hidden behind something else. A neighboring vehicl…
The goal of this project is to develop techniques to remove identifying information from wearable and phone data to protect patients’ priva…
The honorees will be included in the October 2022 print issue of Fast Company Magazine.
Groh, Matthew, Aruna Sankaranarayanan, Andrew Lippman, and Rosalind Picard. "Human detection of political deepfakes across transcripts, audio, and video." arXiv preprint arXiv:2202.12883 (2022).
Groh, Matthew. "Identifying the Context Shift between Test Benchmarks and Production Data." arXiv preprint arXiv:2207.01059 (2022).
By Chelsea Barabas, Karthik Dinakar, and Colin DoyleTwenty-seven prominent researchers from MIT, Harvard, Princeton, NYU, …
MIT uses affective computing in efforts to improve human mental health.
Rico Medina, Andres. “Socio-Environmental Sensor Networks for Community Sensing.” Massachusetts Institute of Technology, MIT, 2022.
Audio-visual data set containing around 21.6 hours of parent-child interaction during story reading.The DAMI-P2C dataset consists of audio-…
On KCRW's Life Examined, Rosalind Picard talks about the potential for technology to help people understand emotions and improve wellbeing.
Affective Computing PhD student Matt Groh and other experts offer a few recommendations to help people recognize falsehoods online.
Williams, R., Ali, S., Devasia, N. et al. AI + Ethics Curricula for Middle School Youth: Lessons Learned from Three Project-Based Curricula. Int J Artif Intell Educ (2022). https://doi.org/10.1007/s40593-022-00298-y
Neil Gaikwad from the Space Enabled research group is co-organizing the KDD Workshop on Humanitarian Mapping.
Reimagining human cooperation in the age of social media and artificial intelligence
Open Ocean
Open Agriculture Initiative (OpenAg)
Creating technology for social change
Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
Researchers develop a comfortable, form-fitting fabric that recognizes its wearer’s activities, like walking, running, and jumping.
Neil Gaikwad, a PhD student in the Space Enabled research group, has been selected as one of the 2019 Facebook Fellows.
Neil Gaikwad, a PhD student at the Media Lab, has received the GSC Graduate Teaching Award, an Institute Award presented annually to one MI…
Named Human Rights & Technology Fellow by MIT Center for International Studies, and a Rising Star by UChicago Center for Data & Computing.
Personal Robots group head Cynthia Breazeal speaks with Marwa ElDiwiny on a recent episode of the IEEE RAS Soft Robotics podcast.
Retrofitting is a technique used to move word vectors closer together or further apart in their space to reflect their relationships in a K…
We want to create immersive, personalized, and scalable digital experiences. In order to do that, we need to fundamentally rethink the way …