Photonics – Page 2 – MIT AI Hardware Program

Graphic of hand holding a glowing chip-based 3D printer

Researchers Demonstrate the First Chip-based 3D Printer

Adam Zewe | MIT News

Smaller than a coin, this optical device could enable rapid prototyping on the go.

Colorful abstract drawing with blue lightning streaks on the left, gold microcircuits on the right, and a computer chip with a lighting bolt in the middle

System Combines Light and Electrons to Unlock Faster, Greener Computing

Alex Shipps | MIT CSAIL

“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.

Energy Efficient AIHigh Performance ComputationPhotonics

Realistic drawing of a printed circuit board, with circuit lines projecting above it in the shape of a brain

Machine-learning System Based on Light Could Yield More Powerful, Efficient Large Language Models

Elizabeth A. Thomson | Materials Research Laboratory

MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.

Neural NetworksEnergy Efficient AIPhotonics

A macro shot of a circuit board in shades of green and yellow with a shallow depth of field

Nano Explorations: Delocalized Photonic Deep Learning on the Internet’s Edge

Monday, March 7, 2023 | 11:00am - 11:45am ET

Speaker: Alex Sludds, MIT PhD Candidate

AI HardwarePhotonics

computer chip in strong magenta blue and purple lighting

Accelerating AI through Photonic Computing and Communication

Wednesday, February 22, 2023 | 12:00pm - 1:00pm ET
MIT Building 36, Room 4462, Allen Room

Speaker: Darius Bunandar, Lightmatter

AI HardwarePhotonics

Blue color computer electronic circuits faded to dark blue at the sides.

Thesis Defense: Delocalized Photonic Deep Learning on the Internet’s Edge

Monday, February 6, 2023 | 5:00pm - 7:00pm ET

Speaker: Alex Sludds, MIT PhD Candidate

Machine LearningPhotonics

rendering of a novel piece of hardware, called a smart transceiver, that uses silicon photonics to dramatically accelerate running a machine-learning model

Deep Learning with Light

Adam Zewe | MIT News Office

A new novel piece of hardware, called a smart transceiver, uses silicon photonics to accelerate machine-learning computations on smart speakers and other low-power connected devices.

Energy Efficient AIMachine LearningAI SystemsPhotonics