Turning technology against human traffickers
Lincoln Laboratory connects counter–human trafficking community in pursuit of technology to help investigate cases.
Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Innovative design thinking for a fast-changing world
Blade Kotelly is a senior lecturer on design thinking and innovation, bringing expertise to the world's top brands to better innovate in complex product and service environments.
Researchers develop speedier network analysis for a range of computer hardware
The advance could boost recommendation algorithms and internet search.
Center to advance predictive simulation research established at MIT Schwarzman College of Computing
MIT is among nine universities selected as part of a program sponsored by the DoE to support science-based modeling and simulation and exascale computing technologies.
MIT-led team to develop software to help forecast space storms
National Science Foundation awards proposal for space weather modeling.
Toward a machine learning model that can reason about everyday actions
Researchers train a model to reach human-level performance at recognizing abstract concepts in video.
Rewriting the rules of machine-generated art
An artificial intelligence tool lets users edit generative adversarial network models with simple copy-and-paste commands.
3 Questions: Enabling informed migration in India
DUSP alumni Rushil Palavajjhala and Jacob Kohn empower vulnerable workers using social entrepreneurial and technical skills gained at MIT.
Shrinking deep learning’s carbon footprint
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
The promise of using WhatsApp for low-tech distance learning
Teaching community organizers via WhatsApp yields encouraging results in South Africa, according to MIT Governance Lab research.
What jumps out in a photo changes the longer we look
Researchers capture our shifting gaze in a model that suggests how to prioritize visual information based on viewing duration.
If transistors can’t get smaller, then coders have to get smarter
MIT CSAIL researchers say improving computing technology after Moore's Law will require more efficient software, new algorithms, and specialized hardware.
Deep learning accurately stains digital biopsy slides
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Visualizing the world beyond the frame
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.