July 13, 2021
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.
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July 9, 2021
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…
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July 9, 2021
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…
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July 9, 2021
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.
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June 24, 2021
Intelligent Carpet Gives Insight Into Human Poses
Rachel Gordon | MIT CSAIL The sentient Magic Carpet from “Aladdin” might have a new competitor.
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June 2, 2021
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.
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March 26, 2021
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
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March 10, 2021
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.
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February 24, 2021
IBM Analog Hardware Acceleration Kit: A Flexible and Fast PyTorch Toolkit for Simulating ANN Training and Inference on Resistive Crossbar Arrays
Wednesday, February 24, 2021 Speaker: Malte Rasch, IBM
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December 13, 2020
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.
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