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Legendre Memory Units

The Legendre Memory Unit, or LMU, is a new kind of recurrent neural network that lies at the heart of Applied Brain Research’s time series technology. With the LMU, we have been achieving state-of-the-art results on a wide variety of tasks, ranging from language understanding to advanced signal processing.

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Most recent blogs

Kevin Conley: ABR's New CEO Driving AI Innovation

Kevin Conley, semiconductor industry expert, joins ABR as CEO. Discover how his vision will shape the future of AI innovation at Applied Brain Research.

In the Media
September 11th, 2023
Research

Understanding Relative Position Encoding and Attention

Company

Behind the Brains: Meet Pawel Jaworski

Research

Human-Robot Interaction with Dr. Madeleine Bartlett

Product

Dr. Trevor Bekolay

Use your own keyword spotting data in NengoEdge

March 10, 2023
Dr. Trevor Bekolay

Fast keyword detection with LMUs on GPU

February 23, 2023
Dr. Chris Eliasmith

NengoEdge & LMU: Low-Power AI for Time Series

October 21, 2021
Dr. Daniel Rasmussen

Automatic Conversion from Keras to Nengo with NENGODL

April 22, 2020
Ben Morcos

Device-locked designs for NengoFPGA on the PYNQ-Z1

April 25, 2019
Peter Suma

ABR demonstrates adaptive controller to Justin Trudeau

March 11, 2017

Company

Dr. Travis DeWolf

Behind the Brains: Meet Pawel Jaworski

July 25, 2023
Dr. Travis DeWolf

Behind the Brains: Meet Dr. Daniel Rasmussen

June 7, 2023
Dr. Travis DeWolf

Meet ABR's New Team Member: Chris Longley

May 12, 2023
Dr. Travis DeWolf

Behind the Brains: Meet Dr. Trevor Bekolay

April 28, 2023
Dr. Trevor Bekolay

Brain Camp 2016

October 26, 2016
Dr. Trevor Bekolay

Nengo featured in this week's R&D 100 Flashback

October 25, 2016

Research

Narsimha Chilkuri

Understanding Relative Position Encoding and Attention

August 16, 2023
Dr. Travis DeWolf

Human-Robot Interaction with Dr. Madeleine Bartlett

July 18, 2023
Dr. Travis DeWolf

LMU Innovations: Brain-Computer Interfaces with Anush Mutyala

May 19, 2023
Multiple

Spiking neural network for image segmentation

June 16, 2021
Multiple

Efficient Keyword Spotting: Hardware-Aware Training

November 9, 2020
Multiple

Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics

October 9, 2020

In the Media

Dr. Travis DeWolf

Kevin Conley: ABR's New CEO Driving AI Innovation

September 11, 2023
Dr. Travis DeWolf

Dr. Eliasmith on Tesla's Optimus Robot: Good Morning Hamilton

March 30, 2023
Peter Suma

CES® 2023 Innovation Awards Honoree Joins Silicon Catalyst

January 4, 2023
Peter Suma

ABR's TSP AI Chip Wins CES® 2023 Innovation Award

November 21, 2022
Dr. Chris Eliasmith

Optimal Time Series Processing: New Network, SF Bay ACM

September 26, 2022
Peter Suma

ABR's TSP Chip: Finalist for Best of Sensors Award

June 23, 2022

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