27 July 2018: DAC 2018
I returned to DAC this year in San Franscico, chairing a session on Industrial-Strength Accelerators for Machine Learning and Artificial Intelligence.

I attended last year in Austin as on of the inaugural Five Outstanding Innovators Under 40.
8 June 2018: Lots of Hiring in Brain-Inspired Computing
IBM Research's Brain-Inspired Computing Group is growing our team again. We are focusing our search on hardware engineers to build the next generation of deep neural network hardware. In our last generation chip, we created a new architecture, designed and fabricated the chip, and built an ecosystem around it, including algorithms and development tools. Available positions for the next generation:
  • Hardware Research Scientists
  • We are looking for several hardware researchers for all aspects of deep neural network hardware. Apply here
  • Logic Designers and Verification Engineers
  • We are looking for several logic designers and verification engineers to contribute to creation and verification of deep neural network hardware. Apply here or here
Please feel free to contact me with questions or just to let me know you applied at arthurjo@us.ibm.com or through Linkedin.

For much more information and more positions go here
15 January 2017: Hiring in Brain-Inspired Computing
We are growing our team. If you are a knowledgeable hardware engineer with an interest in machine learning or a knowledgeable machine learning researcher with an interest in specialized hardware, please contact me at john@johnarthur.org and apply here.
15 January 2017: TrueNorth algorithmic advances
In the last year, we published two papers on training algorithms for TrueNorth. Our algorithms are among the first to focus on low precision deep neural networks and are the first to train networks with full constraints for specialized hardware and deploy networks on hardware. In addition, we submitted two preprints to arxiv in the same domain:
15 January 2017: TrueNorth honors
TrueNorth was award a number of honors in the last year or so:
15 January 2017: TrueNorth ecosystem
Late last year we published a paper in Supercomputing describing the TrueNorth ecosystem and systems as well as applications developed using it by several researchers from a handful of institutions. We didn't just build a chip and then set it on a shelf; we built tools and made it usable. TrueNorth continues to be used by other researchers at events such as 2016 Telluride Neuromorphic Cognition Engineering Workshop and our bootcamp reunion as well as by industry partners.
25 August 2015: TrueNorth NS1e boards out in the wild
In a short time, many researchers have been exposed to TrueNorth and developing neural networks for it.
  • Three of my colleagues and I took TrueNorth to the Telluride Neuromorphic Cognition Engineering Workshop in July. Grad students, postdocs, and professors dove in and spent three weeks on intensive projects. Go here and here for more details.
  • We organized a TrueNorth BootCamp for academic and government researchers to learn the basics of programming and running. Go here, here, here, and here for more.
16 November 2014: TrueNorth system finalist for ACM Gordon Bell Prize
Supercomputing 2014 takes place in New Orleans this week. Our paper was nominated as an ACM Gordon Bell Prize finalist.
12 November 2014: Cognitive Systems Colloquium
We (the brain-inspired computing group) held the second colloquium at IBM Research - Almaden concerning cognitive computing. Our TrueNorth Chip as well as other neuromorphic systems featured prominently. More information can be found here and here.
10 September 2014: IEEE High Performance Extreme Computing Conference
I gave one of the first talks about the TrueNorth Chip and Architecture at HPEC `14, titled Computing with Neurosynaptic Cores
8 August 2014: TrueNorth published in Science
Our TrueNorth Chip was published in Science as well as depicted on the cover and featured in a news story. TrueNorth is the largest neuromorphic chip fabricated with one million configurable digital neurons and 256 million programmable synapse spread across 4,096 neurosynaptic cores, which only consume ~70mW. It has over 400Mbits of embedded SRAM and uses 5.4 billion transistors.
Science (paywall).
8 August 2014: Brain-inspired computing jobs at IBM
We are looking for hardware and software engineerings to develop the next generation brain-inspired computers and to develop algorithms and applications to run on them.
Jobs: Brain-inspired Computing.
26 April 2014: Neurogrid published in IEEE Proceedings
The Stanford Neurogrid Chip was published in IEEE Proceedings in a special issue on "Engineering intelligent electronic systems based on computational neuroscience". Neurogrid is a system of 16 Neurocore Chips each with 65k analog neurons, interconnected by a tree router.
IEEE Proceedings (paywall).


John Arthur
Brain-Inspired Computing
Research Scientist & Hardware Manager
IBM Research - Almaden

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All views presented here are my own and do not represent those of my employer.