Hey Patrick, here is a link to the recording: https://youtu.be/IeRTyWzlvq8 
<https://www.linkedin.com/safety/go?url=https%3A%2F%2Fyoutu.be%2FIeRTyWzlvq8&trk=flagship-messaging-web&messageThreadUrn=urn%3Ali%3AmessagingThread%3A2-OWVmOGY5ZWEtNjYyZS00NDkxLWEwOGQtMjg3ZTgyYTFmOTU5XzAxMw%3D%3D>
 

It was a very lively conversation, and I'll be sure to reach out if we have 
the chance to bring Alex back for some follow-up conversation.

Talk soon!
On Monday, October 3, 2022 at 12:34:57 AM UTC-10 [email protected] wrote:

> Hi Ben!
>
> This sounds interesting, I'd like to watch it!
> Was it recorded?
>
> Best regards,
> Patrick
>
> On Wednesday, September 21, 2022 at 7:49:51 AM UTC+2 Ben Goertzel wrote:
>
>> (note this one is Wed rather than Fri ...)
>>
>> September 21, 2022, 7AM-8:30AM PST: Dr. Alexander G. Ororbia
>> "Brain-Inspired Computing: Going Beyond Backpropagation of Errors" ...
>> Videoconference at: https://singularitynet.zoom.us/my/benbot ...
>>
>> Description: "In this talk, I will discuss an emerging and promising
>> sub-domain of statistical learning research known as brain-inspired
>> computing, which focuses on developing artificial neural models and
>> credit assignment algorithms that draw inspiration from what is
>> currently known about the operation of biological neurons and human
>> brains in general. Starting from the popular backpropagation of errors
>> (backprop) procedure used to train modern-day deep neural networks, I
>> will discuss its various biological criticisms and practical
>> shortcomings to then turn towards backpropagation-free methodology,
>> including processes such as recirculation, local representation
>> alignment, contrastive Hebbian learning, wake-sleep, and predictive
>> processing."
>>
>>
>>
>> -- 
>> Ben Goertzel, PhD
>> [email protected]
>>
>> "My humanity is a constant self-overcoming" -- Friedrich Nietzsche
>>
>

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