Talk radio exerts significant influence on the political and social dynamics of the United States, but labor-intensive data collection an...
We investigated the spread of all of the verified news stories–verified as either true or false–distributed on Twitter from 2006 to 2017....
Vast regions of the world are unmapped by commercial services, and communities living there are digitally invisible. Visible Communities...
The Foodome addresses how to create deeper understanding and predictive intelligence about the relationships between how we talk and lear...
This project is aimed at building a machine learning pipeline that will discover and predict links between the visible structure of villa...
Over the last two decades, digital technologies have flattened old hierarchies in the news business and opened the conversation to a mult...
To gain insights into how digital technologies can make local governments more responsive and deepen citizen engagement, we are studying ...
The spread of malicious or accidental misinformation in social media, especially in time-sensitive situations, such as real-world emergen...
In this project we examine the social media and traditional media's response to the Boston Marathon bombings from the moment of the explo...
The Human Speechome Project is an effort to observe and computationally model the longitudinal language development of a single child at ...
We are crowdsourcing the creation of socially rich, interactive characters by collecting data from thousands of people interacting and co...
Collection and analysis of longitudinal observational data of child behavior in natural, ecologically valid, non-laboratory settings hold...
BlitzScribe is a new approach to speech transcription driven by the demands of today's massive multimedia corpora. High-quality annotatio...
HouseFly combines audio-video recordings from multiple cameras and microphones to generate an interactive, 3D reconstruction of recorded ...
Language is inextricably linked to the activities and events that make up our daily lives. For a child learning language, everyday activi...
This project presents a multimodal speech recognition system for real world scene description tasks. Given a visual scene, the system dyn...
We are adapting the video data collection and analysis technology derived from the Human Speechome Project for the retail sector through ...
Varied important problems can be solved using surprisingly approximate arithmetic. We've designed a co-processor for such arithmetic tha...
People are surprisingly predictable. We use real-time video analysis to extract patterns of behavior from crowds browsing demos in our la...
How do high-level cognitive functions emerge from primitive neural computations to mediate complex human behavior? We are developing pre...
What is the relationship between the input children hear and the words they acquire? We are investigating the role of variables such as i...
This project attempts to address the practical problems involved with extracting behavioral information from large, multi-camera video co...
This project is an effort to develop computer vision methodologies to perform behavioral evaluation on dyadic interactions grounded in l...
Understanding spatial language is a challenging problem that requires the ability to map between language and real-world situations. We a...
Concrete Financial Sim aims to anticipate probable outcomes of different decisions across time. Life consistently presents choices that r...
The Smart Cities and Cognitive Machines groups have teamed up with the Center for Future Banking to design a concept banking store in the...
HeadLock is a semi-automated system for head pose annotation that explores how human-computer interfaces can be combined with computer vi...
Trisk is a humanoid robot that integrates speech input, visual perception, and active touch in order to interact with humans and its envi...
The quantity and availability of video content is soaring due to the combination of television networks and the Internet. The aim of this...
This project focuses on new methods for analyzing, visualizing, and interacting with large text and speech collections. We are exploring ...
We are developing knowledge representations and natural language processing algorithms that connect spatial language to physical environm...
In this project we explore forms of representing that emphasize notions such as discovery, embodiment, and fluidity. We are currently wo...
About a decade ago, University of Edinburgh and its partners put together a collection of transcribed human/human dialogues in which both...
We approach the problem of how machines, and humans, can learn words that describe actions. We put forth that such words are grounded not...
An intelligent robot must build an understanding of its environment with minimal human mediation. We investigate the characterization of ...
We are developing a spoken-language interface for interacting with mobile robots. In our approach, language understanding is treated as a...
Imagine the full power of a theater lighting system, complete with an expert human lighting controller, at your disposal to light your ho...
Over two million speech-disabled people in the US alone rely on Augmentative and Alternative Communication (AAC) devices to help express ...
In this project we demonstrate an application of our work in understanding natural language about spatial scenes. All 3-D modeling applic...
The automated processing of natural language by computer has become a paramount concern in nearly every field of human endeavor. The amou...
We are developing a multimodal processing system called Fuse to explore the effects of visual context on the performance of speech recogn...
The Bishop project explores the subtleties of human language when talking about spatial scenes. In particular, we investigate the various...
How would you translate the word "samosa" for someone who has never experienced this food item? One way would be to map the word onto nam...
The meanings of simple verbs such as "pick up" convey more information than meets the eye. In order to pick up an object, a person much r...
We are interested in building systems which can learn to connect natural language to objects and actions in video. In our current experim...
Language is grounded in experience. Unlike dictionaries which define words in terms of other words, humans understand many basic words in...