Logo for FUTUR-IC project, in the shape of a leaf with circuitry

MIT researchers advance toward greater bandwidth, more energy-efficient communications

Elizabeth A. Thomson | Materials Research Laboratory

The FUTUR-IC research program integrates electronics and photonics in microchip systems.

A tiny robot on wheels inside a tube

New chip could help tiny robots traverse complex environments

Adam Zewe | MIT News

Researchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power.

Abstract illustration of a computer chip split up into layers over a neon grid in the background.

To study how chips really work, MIT researchers built their own operating system

Rachel Gordon | MIT CSAIL

A new kernel called Fractal gives researchers a cleaner view of what’s happening inside a processor, and has already surfaced previously unknown behavior in Apple’s M1.

A lock-and-key with language model in the background.

New Method Efficiently Safeguards Sensitive AI Training Data

Adam Zewe | MIT News

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

abstract visualization of integrated circuit and system co-design with layered blue and grey square circuits

Can We Rely on Future AI ICs?- Robustness Design as Key Challenge for System Technology Co-Optimization

Thursday, November 21, 2024 | 1:00 - 2:00pm ET
Virtual

Speaker: Harald Gossner, Intel

Generative AI for Microsystem Design: Possibility and Opportunity

Wednesday, May 22, 2024 | 12:00 - 1:00pm ET
Hybrid

Zoom & Grier Room A (34-401A)
50 Vassar Street Cambridge, MA

Jonathan Ragan-Kelley stands outdoors in Budapest, with the city as a backdrop

Creating Bespoke Programming Languages for Efficient Visual AI Systems

Lauren Hinkel | MIT-IBM Watson AI Lab

Associate Professor Jonathan Ragan-Kelley optimizes how computer graphics and images are processed for the hardware of today and tomorrow.

abstract representation of futuristic memory computing data architecture systems

Prospects of Future In- and Near-Memory Computing Systems

Wednesday, March 20, 2024 | 12:00 - 1:00pm ET
Hybrid

Zoom & Allen Room (36-462)
50 Vassar Street Cambridge, MA

Privacy Preference Center