Hey Luke, thanks for the catch; we are in the process of moving the recordings to a dedicated OpenCog channel.
This link should work now: https://youtu.be/7kL2hy7K60I It was a great talk...looking forward to many more like it! On Tuesday, October 4, 2022 at 9:19:15 PM UTC-10 [email protected] wrote: > Hi Haley, > > I get “ Video unavailable: This video has been removed by the uploader”. > > Any chance that could be fixed. That presentation was excellent and one > I’ve wanted to share with several other folks recently. > > Thanks. > > -Luke > > On Oct 5, 2022, at 2:51 PM, 'Haley Lowy' via opencog < > [email protected]> wrote: > > 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 >>> >> > -- > You received this message because you are subscribed to the Google Groups > "opencog" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/opencog/1a06e2c3-1ee1-4b10-9481-d7f98649bd0en%40googlegroups.com > > <https://groups.google.com/d/msgid/opencog/1a06e2c3-1ee1-4b10-9481-d7f98649bd0en%40googlegroups.com?utm_medium=email&utm_source=footer> > . > > > -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/dac1a11d-f6fa-4fd6-b298-929283c10de3n%40googlegroups.com.
