no code implementations • 28 Aug 2022 • Ping-Chen Huang, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen, Pentti Kanerva
With only 1. 02k active parameters and a 128-minute pass through the training data we achieve Top-1 and Top-5 scores of 31% and 52% on the VoxCeleb1 dataset of 1, 251 speakers.
no code implementations • 11 Mar 2022 • Denis Kleyko, Geethan Karunaratne, Jan M. Rabaey, Abu Sebastian, Abbas Rahimi
Memory-augmented neural networks enhance a neural network with an external key-value memory whose complexity is typically dominated by the number of support vectors in the key memory.
1 code implementation • 17 Jun 2021 • Cameron Diao, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen
Machine learning algorithms deployed on edge devices must meet certain resource constraints and efficiency requirements.
no code implementations • 9 Jun 2021 • Denis Kleyko, Mike Davies, E. Paxon Frady, Pentti Kanerva, Spencer J. Kent, Bruno A. Olshausen, Evgeny Osipov, Jan M. Rabaey, Dmitri A. Rachkovskij, Abbas Rahimi, Friedrich T. Sommer
We see them acting as a framework for computing with distributed representations that can play a role of an abstraction layer for emerging computing hardware.
no code implementations • 2 Jan 2019 • Ali Moin, Andy Zhou, Simone Benatti, Abbas Rahimi, Luca Benini, Jan M. Rabaey
Varying contraction levels of muscles is a big challenge in electromyography-based gesture recognition.
no code implementations • 23 Nov 2018 • Abbas Rahimi, Tony F. Wu, Haitong Li, Jan M. Rabaey, H. -S. Philip Wong, Max M. Shulaker, Subhasish Mitra
By exploiting the unique properties of the underlying nanotechnologies, we show that HD computing, when implemented with monolithic 3D integration, can be up to 420X more energy-efficient while using 25X less area compared to traditional silicon CMOS implementations.
1 code implementation • 28 Feb 2018 • Ali Moin, Andy Zhou, Abbas Rahimi, Simone Benatti, Alisha Menon, Senam Tamakloe, Jonathan Ting, Natasha Yamamoto, Yasser Khan, Fred Burghardt, Luca Benini, Ana C. Arias, Jan M. Rabaey
We present an end-to-end system combating this variability using a large-area, high-density sensor array and a robust classification algorithm.
no code implementations • 8 Jul 2013 • Dongjin Seo, Jose M. Carmena, Jan M. Rabaey, Elad Alon, Michel M. Maharbiz
A major hurdle in brain-machine interfaces (BMI) is the lack of an implantable neural interface system that remains viable for a lifetime.
Neurons and Cognition Instrumentation and Detectors
no code implementations • 24 Jun 2013 • Adam H. Marblestone, Bradley M. Zamft, Yael G. Maguire, Mikhail G. Shapiro, Thaddeus R. Cybulski, Joshua I. Glaser, Dario Amodei, P. Benjamin Stranges, Reza Kalhor, David A. Dalrymple, Dongjin Seo, Elad Alon, Michel M. Maharbiz, Jose M. Carmena, Jan M. Rabaey, Edward S. Boyden, George M. Church, Konrad P. Kording
Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience.
Neurons and Cognition Biological Physics