Archives for 2016
On occasion of the 30th Anniversary of IBM Research – Almaden, Samsung, Air Force Research Lab, and Lawrence Livermore National Lab presented their results using TrueNorth Ecosystem. Here is an article written by a reporter who was in the audience. A video of the session will be posted soon.
During the same event, Professor Tobi Delbruck presented the Misha Mahowald Prize to the IBM TrueNorth Team. See here.
On the occasion of the 30th Anniversary of IBM Research – Almaden, TrueNorth was accepted into the Computer History Museum. Here is IBM Press Release.
Guest Blog by Andrew Cassidy and Michael Debole
At the IEEE 2016 World Congress on Computational Intelligence (WCCI) in Vancouver Canada last week, six researchers presented their research on TrueNorth-based algorithms and applications. These papers, published in the proceedings of the International Joint Conference on Neural Networks (IJCNN 2016), represent early outcomes from university and government research collaborators, who were among the first adopters of the TrueNorth hardware and software ecosystem. These research partners were trained at the Brain-inspired Boot Camp last August 2015, and submitted their succeeding research for conference review in January 2016.
The six papers presented at the Special Session on Energy-Efficient Deep Neural Networks were:
- LATTE: Low-power Audio Transform with TrueNorth Ecosystem.
Wei-Yu Tsai, Davis Barch, Andrew Cassidy, Michael DeBole, Alexander Andreopoulos, Bryan Jackson, Myron Flickner, Dharmendra Modha, Jack Sampson and Vijaykrishnan Narayanan;
The Pennsylvania State University, IBM Research – Almaden.
- TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth.
Peter U. Diehl, Bruno U. Pedroni, Andrew Cassidy, Paul Merolla, Emre Neftci and Guido Zarrella;
ETH Zurich, UC San Diego, IBM Research – Almaden, UC Irvine, The MITRE Corporation.
- Probabilistic Inference Using Stochastic Spiking Neural Networks on A Neurosynaptic Processor.
Khadeer Ahmed, Amar Shrestha, Qinru Qiu and Qing Wu;
Syracuse University, Air Force Research Laboratory.
- Weighted Population Code for Low Power Neuromorphic Image Classification.
Antonio Jimeno Yepes, Jianbin Tang, Shreya Saxena, Tobias Brosch and Arnon Amir;
IBM Research – Australia, Massachusetts Institute of Technology, IBM Research –
Almaden, Institute of Neural Information Processing – Ulm University.
- Sparse Approximation on Energy Efficient Hardware.
Kaitlin Fair and David Anderson;
Georgia Institute of Technology.
- A Low-Power Neurosynaptic Implementation of Local Binary Patterns for Texture Analysis.
Alexander Andreopoulos, Rodrigo Alvarez-Icaza, Andrew Cassidy and Myron Flickner;
IBM Research – Almaden.
The Misha Mahowald Prize recognizes outstanding achievement in the field of neuromorphic engineering. Neuromorphic engineering is defined as the construction of artificial computing systems which implement key computational principles found in natural nervous systems. Understanding how to build such systems may enable a new generation of intelligent devices, able to interact in real-time in uncertain real-world conditions under severe power constraints, as biological brains do.
Misha Mahowald, for whom the prize is named, was a charismatic, talented and influential pioneer of neuromorphic engineering whose creative life unfortunately ended prematurely. Nevertheless, her novel designs of brain-inspired CMOS VLSI circuits for vision and computation have continued to influence a generation of engineers.
For the inaugural 2016 prize, the independent jury led by Prof. Terrence Sejnowski of the Salk Institute evaluated 21 entries worldwide. They have selected the TrueNorth project, led by Dr. Dharmendra S. Modha at IBM Research – Almaden in San Jose, California as the winner for 2016:
“For the development of TrueNorth, a neuromorphic CMOS chip that simulates 1 million spiking neurons with connectivity and dynamics that can be flexibly programmed while consuming only 70 milliwatts. This scalable architecture sets a new standard and brings us closer to achieving the high levels of performance in brains.”
The TrueNorth architecture is a milestone in the development of neuromorphic processors because it achieves the combination of scale, ultra-low-power and high performance that has never before been demonstrated in a real neuromorphic system. It is the first neuromorphic system that can compete with conventional state-of-the-art von Neumann processors on real-world problems on an equal footing. In doing this, it opens the door to future orders-of-magnitude improvements in computing power that will no longer be possible using the von Neumann architecture as its inherent bottlenecks approach physical limits.
The prize and certificate will be presented at the 30th anniversary celebration of the IBM Almaden Research Center in San Jose on 11 August, 2016.
The Misha Mahowald Prize is sponsored and administered by iniLabs (www.inilabs.com) in Switzerland.