Research Laboratory of Electronics (RLE)

FILTER
Selected:

Hopping gives this tiny robot a leg up

April 11, 2025

MIT engineers developed an insect-sized jumping robot that can traverse challenging terrains and carry heavy payloads.

Device enables direct communication among multiple quantum processors

March 24, 2025

MIT researchers developed a photon-shuttling “interconnect” that can facilitate remote entanglement, a key step toward a practical quantum computer.

This fast and agile robotic insect could someday aid in mechanical pollination

January 22, 2025

With a new design, the bug-sized bot was able to fly 100 times longer than prior versions.

Noninvasive imaging method can penetrate deeper into living tissue

December 18, 2024

Using high-powered lasers, this new method could help biologists study the body’s immune responses and develop new medicines.

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.