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.
New chip for mobile devices knocks out unwanted signals
The receiver chip efficiently blocks signal interference that slows device performance and drains batteries.
Two Lincoln Laboratory software products honored with national Excellence in Technology Transfer Awards
Cloud security and video forensics software have been transitioned to end users.
Designing the cities of tomorrow
Carlo Ratti investigates how digital technologies transform our urban spaces and how they can be harnessed to design sustainable cities for the future.
Deep learning with light
A new method uses optics to accelerate machine-learning computations on smart speakers and other low-power connected devices.
Learning on the edge
A new technique enables AI models to continually learn from new data on intelligent edge devices like smartphones and sensors, reducing energy costs and privacy risks.
Engineers build LEGO-like artificial intelligence chip
The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.