Research Laboratory of Electronics (RLE)

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Photonic processor could enable ultrafast AI computations with extreme energy efficiency

December 3, 2024

This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.

3 questions: Leveraging insights to enable clinical outcomes

November 12, 2024

Thomas Heldt, associate director of IMES, describes how he collaborates closely with MIT colleagues and others at Boston-area hospitals.

Quantum simulator could help uncover materials for high-performance electronics

October 31, 2024

By emulating a magnetic field on a superconducting quantum computer, researchers can probe complex properties of materials.

MIT engineers create a chip-based tractor beam for biological particles

October 7, 2024

The tiny device uses a tightly focused beam of light to capture and manipulate cells.

Laura Lewis and Jing Kong receive postdoctoral mentoring award

October 4, 2024

Advisors commended for providing exceptional individualized mentoring for postdocs.

New security protocol shields data from attackers during cloud-based computation

October 1, 2024

The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.

Method prevents an AI model from being overconfident about wrong answers

September 16, 2024

More efficient than other approaches, the “Thermometer” technique could help someone know when they should trust a large language model.

Spooky action at a distance: a quantum computing research collaboration crosses the Atlantic

July 22, 2024

Researchers at MIT have recently signed a 4-year collaboration agreement with the Novo Nordisk Foundation Quantum Computing Programme (NQCP) at Niels Bohr Institute, University of Copenhagen, focused on accelerating quantum computing hardware research.

Implantable microphone could lead to fully internal cochlear implants

July 11, 2024

This tiny, biocompatible sensor may overcome one of the biggest hurdles that prevent the devices from being completely implanted.

Signal Processing: How Did We Get to Where We’re Going?

June 24, 2024

In a retrospective talk spanning multiple decades, Professor Al Oppenheim looks back over the birth of Digital Signal Processing and shares his thoughts on the future of the field.