The power of two
Graduate student Ellen Zhong helped biologists and mathematicians reach across departmental lines to address a longstanding problem in electron microscopy.
Intelligent carpet gives insight into human poses
Tactical sensing carpet estimates 3D human poses without the use of cameras, and could improve health monitoring and smart homes.
Revisiting a quantum past for a fusion future
Principal Research Scientist Abhay Ram circles back to his graduate school studies for a new initiative combining classical physics and quantum computing.
A unique collaboration with US Special Operations Command
Nearly 300 government and military members participated in a new course designed to explore the next generation of artificial intelligence and related technologies.
Unlocking the potential of blockchain technology
Algorand uses a unique architecture developed by MIT Professor Silvio Micali to offer a decentralized, secure, and scalable blockchain.
Creating “digital twins” at scale
Model could help predictive virtual models become standard practice in engineering.
Training robots to manipulate soft and deformable objects
A virtual environment embedded with knowledge of the physical world speeds up problem-solving.
Accelerating AI at the speed of light
Yichen Shen PhD '16 is CEO of Lightelligence, an MIT spinout using photonics to reinvent computing for artificial intelligence.
MIT baseball coach uses sensors, motion capture technology to teach pitching
Visualization software and hardware could offer new possibilities for coaching and sports training.
Jeremy Kepner named SIAM Fellow
Society for Industrial and Applied Mathematics recognizes Kepner, a pivotal member of the team that established Lincoln Laboratory's Supercomputing Center, for his innovative work in computing.
Improving the way videos are organized
Netra, co-founded by Shashi Kant SM ’06, uses artificial intelligence to help companies sort and manage video content.
Using machine learning to predict high-impact research
DELPHI, an artificial intelligence framework, can give an “early-alert” signal for future key technologies by learning from patterns gleaned from previous scientific publications.
Helping robots collaborate to get the job done
Algorithm enables robot teams to complete missions, such as mapping or search-and-rescue, with minimal wasted effort.
New system cleans messy data tables automatically
With just 50 lines of code, the program spots and fixes likely errors.
SMART breakthrough uses artificial neural networks to enhance travel behavior research
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.