(This article was originally posted on Next Platform https://www.nextplatform.com/2018/04/03/momentum-for-bioinspired-gpu-computing-at-the-edge/)

Bioinspired computing is nothing new but with the rise in mainstream interest in machine learning, these architectures and software frameworks are seeing fresh light. This is prompting a new wave of young companies that are cropping up to provide hardware, software, and management tools—something that has also spurred a new era of thinking about AI problems.

We most often think of these innovations happening at the server and datacenter level but more algorithmic work is being done (to suit better embedded hardware) to deploy comprehensive models on mobile devices that allow for long-term learning on single instances of object recognition (as one example) on the actual mobile device without a major battery or memory hit.

With this in mind, on this audio interview episode of “The Interview” with The Next Platform we talk with Heather Ames, a co-founder at bioinspired AI startup, Neurala about the co-evolution of neurology and computing into a range of real-world use cases for AI. Her company is trying to blend the world of large-scale deep learning and mobile processing to allow for on-the-go neural network training to suit a wide range of use cases including for instance as analysis for police body cameras that can be trained to look for a particular object of interest on the fly with real-time detection of the subject.


Ames has a PhD in Cognitive and Neural Systems from Boston University and a BS in Cognitive Neuroscience from UC Berkeley. She and a small team founded Neurala after hitting limitations with neural networks running on workstations, pushing them into GPU acceleration territory with an emphasis on small devices.

Ames talks about the early days with the DARPA Synapse program and the use of new approaches like memristors to efficiently enable AI computations. She also addresses other emerging hardware devices like MPUs and other novel architectures that seek to make memory the platform for more compute than we traditionally see. This emphasis on efficiency for AI computations is what pushed Neurala toward on-device GPU computing for machine learning; something that is much different than what we see with the emphasis on very big, beefy GPUs running training inside large datacenters.

21 thoughts on “Bio-inspired computing at the Edge”
  1. My friend Shawn and I were catching up last week and during our conversation he told me about this system he just starting using that has to be the easiest way to get rich online.I know that sounds like a big hypey promise that sounds too much like an “easy button”, and a bit unbelievable — and that’s ok. But, if you know me, then you know I’m very careful about what I share with you. But in my humble opinion, this new opportunity is the most UNIQUE and AMAZING online business model I’ve ever seen… https://cutt.ly/VjMspim

  2. I have been browsing online more than three hours today, yet I
    never found any attention-grabbing article like yours.

    It is beautiful value enough for me. Personally, if all webmasters and bloggers made excellent content material as you probably did,
    the web shall be much more helpful than ever before.

  3. It’s perfect time to make some plans for the longer term and it is time to be happy.

    I have learn this submit and if I may just I desire to recommend
    you some interesting issues or advice. Maybe you can write subsequent
    articles relating to this article. I desire to read even more things approximately

  4. I’ve observed that in the world the present day, video games would be the latest phenomenon with children of all ages. Occasionally it may be not possible to drag young kids away from the activities. If you want the very best of both worlds, there are lots of educational games for kids. Thanks for your post.

  5. I will right away take hold of your rss feed as I can’t to find your e-mail subscription hyperlink or e-newsletter service.
    Do you have any? Please let me realize so that I
    could subscribe. Thanks.

  6. I’ve been browsing online more than 4 hours today, yet I never found any interesting article like yours.
    It is pretty worth enough for me. In my view,
    if all web owners and bloggers made good content as you
    did, the web will be a lot more useful than ever before.

  7. When I initially left a comment I seem to have clicked the -Notify me when new comments are added- checkbox and now every
    time a comment is added I receive 4 emails with the exact same comment.
    There has to be a means you can remove me from that service?

  8. I’m really enjoying the design and layout of your blog.
    It’s a very easy on the eyes which makes it much more pleasant for
    me to come here and visit more often. Did you hire out a designer to create your theme?
    Great work!

Leave a Reply

Your email address will not be published.

I accept that my given data and my IP address is sent to a server in the USA only for the purpose of spam prevention through the Akismet program.More information on Akismet and GDPR.