Electrochemistry and Material Science of Proton-based Electrochemical Synapses

Bilge Yildiz, Ju Li Electrochemical ionic-electronic devices have an immense potential to enable a new domain of programmable hardware for machine intelligence.


0 Comments1 Minutes

A Framework to Evaluate Energy Efficiency and Performance of Analog Neural Networks

Vivienne Sze, Joel Emer This project pursues an integrated framework that includes energy-modeling and performance evaluation tools to systematically explore and estimate the…


0 Comments1 Minutes

CMOS-Compatible Ferroelectric Synapse Technology for Analog Neural Networks

Jesús del Alamo This research project investigates a new ferroelectric synapse technology based on metal oxides that is designed to be fully back-end CMOS compatible and promises…


0 Comments1 Minutes

Need to Fit Billions of Transistors on a Chip? Let AI Do It

Will Knight | Wired Magazine Artificial Intelligence is now helping to design computer chips—including the very ones needed to run the most powerful AI code.


0 Comments1 Minutes

Intelligent Carpet Gives Insight Into Human Poses

Rachel Gordon | MIT CSAIL The sentient Magic Carpet from “Aladdin” might have a new competitor.


0 Comments1 Minute

Accelerating AI at the Speed of Light

Daniel de Wolff | MIT Startup Exchange Yichen Shen PhD '16 is CEO of Lightelligence, an MIT spinout using photonics to reinvent computing for artificial intelligence.


0 Comments1 Minute

Toward Brain-inspired, Energy-efficient Chips

Monday, March 26, 2021 | 12pm - 1pm EST Panel Discussion: Bilge Yildiz, Michale Fee, Jesus del Alamo, Ju Li, Aude Oliva


0 Comments5 Minutes

Using Artificial Intelligence to Generate 3D Holograms in Real-time

Daniel Ackerman | MIT News Office Despite years of hype, virtual reality headsets have yet to topple TV or computer screens as the go-to devices for video viewing.


0 Comments1 Minutes

AI Algorithms Are Slimming Down to Fit in Your Fridge

Will Knight | Wired Magazine Artificial intelligence programs typically are power guzzlers. New research shows how to generate computer vision from a simple, low-power chip.


0 Comments1 Minute

Privacy Preference Center