Microsoft Research

AI-generated (DALL-E 3) conceptual image depicting light waves passing through a physical system. Credit: LWE/EPFL
The development of more efficient alternatives to power-hungry deep learning hardware
Princeton and Microsoft researchers have found a way to bring next-generation wireless technologies to bear on the massive problem of food waste, with a system that can effectively peek under the surface and determine the quality of a piece of fruit. The advance could help vendors optimize distribution and slash waste. Photos by Sameer A. Khan/Fotobuddy
Bringing next-generation wireless technologies to bear on the massive problem of food waste
Microcapsules with fluorescent labels. Photo: Tom de Greef
Storing data in DNA sounds like science fiction yet it lies in our near future
Artificial intelligence can replicate any voice, including the emotions and tone of a speaker with just 3 seconds of training
The ability to measure pulse and respiration rate using your computer or smartphone camera for telehealth visits
A smart tablecloth that can detect non-metallic objects ranging from avocadoes to credit cards
Invention of a key component to scale up quantum computing
It is now practical to create cameras with curved sensors
Precision agriculture
DuoSkin: Functional, stylish on-skin user interfaces
Digital images stored in DNA — think Walmart sized data center in a sugar cube
Holoportation: Microsoft Research envisions telecommuting via Hololens
Microsoft Plumbs Ocean’s Depths to Test Underwater Data Center
Securing data from tomorrow’s supercomputers
Giving Government Special Access to Data Poses Major Security Risks