Spiking Neural Networks: A Primer with Dr. Terrence Sejnowski - #317
On today’s episode, we’re joined by Dr. Terrence Sejnowski, Francis Crick Chair, head of the Computational Neurobiology Laboratory at the Salk Institute for Biological Studies and faculty member at UC San Diego. In our conversation with Terry, we discuss:
His role as a founding researcher in the field of computational neuroscience, and as a founder of the annual Telluride Neuromorphic Cognition Engineering Workshop. We dive deep into the world of spiking neural networks and brain architecture, the relationship of neuroscience to machine learning, and ways to make NN’s more efficient through spiking. Terry also gives us some insight into hardware used in this field, characterizes the major research problems currently being undertaken, and the future of spiking networks. Check out the complete show notes at twimlai.com/talk/317.
Видео Spiking Neural Networks: A Primer with Dr. Terrence Sejnowski - #317 канала The TWIML AI Podcast with Sam Charrington
His role as a founding researcher in the field of computational neuroscience, and as a founder of the annual Telluride Neuromorphic Cognition Engineering Workshop. We dive deep into the world of spiking neural networks and brain architecture, the relationship of neuroscience to machine learning, and ways to make NN’s more efficient through spiking. Terry also gives us some insight into hardware used in this field, characterizes the major research problems currently being undertaken, and the future of spiking networks. Check out the complete show notes at twimlai.com/talk/317.
Видео Spiking Neural Networks: A Primer with Dr. Terrence Sejnowski - #317 канала The TWIML AI Podcast with Sam Charrington
Показать
Комментарии отсутствуют
Информация о видео
15 ноября 2019 г. 2:44:51
00:49:38
Другие видео канала
Mike Davies: Realizing the Promise of Spiking Neuromorphic Hardware
Data Debt in Machine Learning with D. Sculley - #574
Top 5 Uses of Neural Networks! (A.I.)
CNN: Convolutional Neural Networks Explained - Computerphile
Yann LeCun on the future of deep learning hardware
A simple spiking neuron model: sodium channels alone
Trends in Machine Learning & Deep Learning with Zachary Lipton - #556
Garrick Orchard: Spiking Neural Networks for Event-based Vision
Hierarchical and Continual RL with Doina Precup - #567
Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572
Event-Based Angular Velocity Regression with Spiking Networks (ICRA20 Video Pitch)
What is Neuromorphic Computing? | AI 101
Networks of Spiking Neurons Learn to Learn and Remember
Minibatch Processing in Spiking Neural Networks
Brain inspired spiking neural networks for neuromorphic computation
Professor Terrence Sejnowski - Deep Learning: Artificial Intelligence Meets Human Intelligence
Lecture 16 | Adversarial Examples and Adversarial Training
Neuromorphic computing with emerging memory devices
TEDxGöteborg - Gustaf Gredebäck - The Mirror Neuron System: Understanding Others as Oneself