Architecture All Access: Neuromorphic Computing Part 1

Computer design has always been inspired by biology, especially the brain. In this episode of Architecture All Access - Mike Davies, Senior Principal Engineer and Director of Intel's Neuromorphic Computing Lab - explains the relationship of Neuromorphic Computing and understanding the principals of brain computations at the circuit level that are enabling next-generation intelligent devices and autonomous systems.
Mike's leadership in this specialized field allows him to share the latest insights from the promising future in neuromorphic computing here at Intel. Discover the history and influence of the secrets that nature has evolved over a billion years supporting incredible computing efficiency, speed and intelligence.
Architecture All Access Season 2 is a master class technology series, featuring Senior Intel Technical Leaders taking an educational approach in explaining the historical impact and future innovations in their technical domains. Here at Intel, our mission is to create world-changing technology that improves the life of every person on earth. If you would like to learn more about AI, Wi-Fi, Ethernet and Neuromorphic Computing, subscribe and hit the bell to get instant notifications of new episodes.
Chapters:
0:00 Welcome to Neuromorphic Computing
1:16 Introduction to Mike Davies
1:34 The pioneers of modern computing
1:48 A 2 GR. brain running on 50 mW of power
2:19 The vision of Neuromorphic Computing
2:31 Biological Neural Networks
4:03 Patterns of Connectivity explained
4:36 How neural networks achieve great energy efficiency and low latency
6:20 Inhibitory Networks of Neurons
7:42 Conventional Architecture
8:01 Neuromorphic Architecture
9:51 Conventional processors vs Neuromorphic chips
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[@user-xd5gd4pc9h]

Looking forward for the part 2,3, ... This is really cool!

[@DalbyJoakim]

This spiked my curiosity in part 2

[@Sarahxxx666]

This series looks very promising ! Thanks for such educational content 😊

[@factology124]

can't wait for part 2

[@chinhvd]

Love your video. Please do more. Thanks!

[@eyeofthetiger7]

This was incredibly good information! Thank you! Really exciting work!

[@1q2w3e4r5t6zism]

That is just the true art -> research, always with the goal of real production and application!

[@faisalsheikh7846]

Amazing😍

[@GrifiN42]

Fascinating, thank you

[@TheDigitalVillain]

“Those pioneers had the brain in mind” LOL

[@onurfidanc2712]

Great!

[@DeepakKumar-yo7xd]

Thanks for this series. Looking forward to it. Well explained.

[@pjh2038]

This is great, but where oh where is part 2? 🙂

[@jep1912]

Mike: just need to drop some Akida IP into your architecture eh.

[@DeepFrydTurd]

Nice

[@user-cp4ku4gs7q]

Cool TY

[@josephvanname3377]

When are you going to start making energy efficient reversible computers or at least energy efficient reversible linear feedback shift registers?

[@DigitalWerkz]

Could you please allow premium controls in KZbin on your possible future videos about neuromorphic Computing? Thank you.😊

[@phillipneal8194]

show me the code. I have an ultrasonic sensor. that returns distance as a byte. How do I jam that byte into a "simluated" neuromorphic computer. And how do I read out the result ? And How do I train it ? Code. Where is the code ?

[@timwhite7127]

Now that i have a vague idea of what's expected of my brain I guess I don't feel quite so bad that it doesn't work as well as I wish it would.

[@hendrikwillemadrianusthart2233]

7.12 minutes, this repeating seems fast due 2 herz, but why not implement a "broadcasting" style, as a tcp/ip vs UDP type of connection(s), and in what part are we going to see the buildup on the cortex as in the movie "the matrix" ?

[@jaykrizzle]

Autistic comment of the day

[@444haluk]

Lol Intel is making every engineer and scientist a salesman

[@daddyelon4577]

😂

[@neithanm]

Someone really botched the audio :(

[@samlebon9884]

All of a sudden my neurones started firing.

[@rens79]

💥💥💥🦾☝🏽

[@qlfnj1845]

shouldn’t he be wearing a suit and tie