New chip can protect wireless biomedical devices from quantum attacks
Ultra-efficient chip design enables extremely strong cryptography algorithms to run on energy-constrained edge devices.
How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology
From early motion-sensing platforms to environmental monitoring, the professor and head of the Program in Media Arts and Sciences has turned decades of cross-disciplinary research into real-world impact.
Chip-processing method could assist cryptography schemes to keep data secure
By enabling two chips to authenticate each other using a shared fingerprint, this technique can improve privacy and energy efficiency.
New transmitter could make wireless devices more energy-efficient
The flexible chip could boost the performance of current electronics and meet the more stringent efficiency requirements of future 6G technologies.
This compact, low-power receiver could give a boost to 5G smart devices
Researchers designed a tiny receiver chip that is more resilient to interference, which could enable smaller 5G “internet of things” devices with longer battery lives.
Photonic processor could streamline 6G wireless signal processing
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
Fiber computer allows apparel to run apps and “understand” the wearer
MIT researchers developed a fiber computer and networked several of them into a garment that learns to identify physical activities.
Wireless receiver blocks interference for better mobile device performance
This novel circuit architecture cancels out unwanted signals at the earliest opportunity.
This tiny, tamper-proof ID tag can authenticate almost anything
MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.
Self-powered sensor automatically harvests magnetic energy
A system designed at MIT could allow sensors to operate in remote settings, without batteries.
Technique enables AI on edge devices to keep learning over time
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
AI model speeds up high-resolution computer vision
The system could improve image quality in video streaming or help autonomous vehicles identify road hazards in real-time.
SMART launches research group to advance AI, automation, and the future of work
Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.
Making sense of all things data
Abel Sanchez helps industries and executives shift their operations in order to make sense of their data and use it to help their bottom lines.
Miniscule device could help preserve the battery life of tiny sensors
Researchers demonstrate a low-power “wake-up” receiver one-tenth the size of other devices.