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.
Toward a stronger defense of personal data
Engineers build a lower-energy chip that can prevent hackers from extracting hidden information from a smart device.
Q&A: Dolapo Adedokun on computer technology, Ireland, and all that jazz
MIT EECS student and Mitchell Scholar hopes to play music in Dublin while working on his MS in intelligent systems.
MIT engineers produce the world’s longest flexible fiber battery
The rechargeable battery can be woven and washed, and could provide power for fiber-based electronic devices and sensors.
Tiny machine learning design alleviates a bottleneck in memory usage on internet-of-things devices
New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity.
Engineers create a programmable fiber
In a first, the digital fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity.
The future of the IoT (batteries not required)
Benton Calhoun SM '02 PhD '06 and David Wentzloff SM '02 PhD '07 are co-founders of Everactive, which uses wireless sensing to provide continuous remote monitoring for the industrial internet of things.
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.
A language learning system that pays attention — more efficiently than ever before
MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.
Making smart thermostats more efficient
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
System brings deep learning to “internet of things” devices
Advance could enable artificial intelligence on household appliances while enhancing data security and energy efficiency.