Energy Efficient AI – Page 4 – MIT AI Hardware Program

An image of a yellow and pink car with dissolved edges is shown with a blue background.

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.

Energy Efficient AIAI Systems

male scientist is bending to look inside window of large silver scientific machinery

Putting a New Spin on Computer Hardware

Adam Zewe | MIT News Office

Luqiao Liu utilizes a quantum property known as electron spin to build low-power, high-performance computer memories and programmable computer chips.

Energy Efficient AIHigh Performance Computation

computer chip containing many aligned squares

Computing With Chemicals Makes Faster, Leaner AI

Dina Genkina | IEEE Spectrum

Battery-inspired artificial synapses are gaining ground, and analog electrochemical memory (ECRAM) arrays provide a prototype for artificial synapses in AI training.

Energy Efficient AIAI Hardware

abstract multi color streaks of light sweeping upward to show fast movement

Breaking the Scaling Limits of Analog Computing

Adam Zewe | MIT News Office

MIT researchers have developed a new technique could diminish errors that hamper the performance of super-fast analog optical neural networks.

Energy Efficient AIMachine Learning

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

3 Questions: Blue Hydrogen and the World’s Energy Systems

Turner Jackson | MIT Energy Initiative

Research Scientist Emre Gençer describes natural gas–based hydrogen production with carbon capture and storage, and the role hydrogen will play in decarbonizing our energy systems.

Energy Efficient AIMaterials