Technique Could Improve the Sensitivity of Quantum Sensing Devices
Adam Zewe | MIT News
New method lets researchers identify and control larger numbers of atomic-scale defects, to build a bigger system of qubits.
Technique Enables AI on Edge Devices to Keep Learning Over Time
Adam Zewe | MIT News
With the PockEngine training method, machine-learning models can efficiently and continuously learn from user data on edge devices like smartphones.
MIT Engineers are on a Failure-Finding Mission
Jennifer Chu | MIT News
The team’s new algorithm finds failures and fixes in all sorts of autonomous systems, from drone teams to power grids.
Researchers Create a Tool for Accurately Simulating Complex Systems
Adam Zewe | MIT News Office
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
Soft Bioelectronic/optoelectronic Systems as Neural Interfaces
Tuesday, April 18, 2023 | 11am - 12pm ET
Zoom
Speaker: John Rogers, Professor of Materials Science and Engineering, Northwestern University
Student-led Conference Charts the Future of Micro- and Nanoscale Research, Reinforces Scientific Community
Amanda Stoll DiCristofaro | MIT.nano
2023 marked the 19th year for the student-led Microsystems Annual Research Conference and reveals the next era of microsystems technologies.
A New Chip for Decoding Data Transmissions Demonstrates Record-breaking Energy Efficiency
Adam Zewe | MIT News Office
The chip, which can decipher any encoded signal, could enable lower-cost devices that perform better while requiring less hardware.
New Chip for Mobile Devices Knocks Out Unwanted Signals
Adam Zewe | MIT News Office
MIT researchers have developed a receiver chip for a mobile device that targets and blocks unwanted radio frequency signals at the receiver’s input, without hurting its performance or slowing down the device.
Can you trust your quantum simulator?
Jennifer Chu | MIT News Office
MIT physicists have developed a protocol to verify the accuracy of quantum experiments.
Computers that Power Self-driving Cars Could be a Huge Driver of Global Carbon Emissions
Adam Zewe | MIT News Office
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.