How to Wire a Computer Like a Human Brain
The goal of neuromorphic computing is simple: mimic the neural structure of the brain. Meet the current generation of computer chips that's getting closer to reaching this not-so-simple goal. » Subscribe to Seeker! http://bit.ly/subscribeseeker » Watch more Elements! http://bit.ly/Element
From playlist Elements | Seeker
Quantum Computer in a Nutshell (Documentary)
The reservoir of possibilities offered by the fundamental laws of Nature, is the key point in the development of science and technology. Quantum computing is the next step on the road to broaden our perspective from which we currently look at the Universe. The movie shows the history of pr
From playlist Quantum computing
MATH1031 Users of Mathematics - Neuroscience
Math1031 Users of Mathematics Neuroscience
From playlist MATH1031 Mathematics For Life Sciences
Stanford Seminar - Multi-Sensory Neural Objects: Modeling, Inference, and Applications in Robotics
October 14, 2022 Jiajun Wu of Stanford University In the past two years, neural representations for objects and scenes have demonstrated impressive performance on graphics and vision tasks, particularly on novel view synthesis, and have gradually gained attention from the robotics communi
From playlist Stanford AA289 - Robotics and Autonomous Systems Seminar
Architects of the Mind: A Blueprint for the Human Brain
Is the human brain an elaborate organic computer? Since the time of the earliest electronic computers, some have imagined that with sufficiently robust memory, processing speed, and programming, a functioning human brain can be replicated in silicon. Others disagree, arguing that central t
From playlist World Science Festival 2013
Neuralink: Merging Man and Machine
Neuralink: Merging Man and Machine - Neuralink Explained Signup for a FREE trial to The Great Courses Plus here: http://ow.ly/2Jc830q7vB0 Follow me!: https://www.instagram.com/mcewen/ Elon Musk and Neuralink are carving a path into digitizing humanity, but many people are still in the dar
From playlist Science & Technology 🚀
Mapping The Brain | Digging Deeper
Should the United States spend billions to completely map the human brain? Will it ever be possible to build an artificial brain - and, if we do, what are the implications for the future? Join Ben and Matt as they talk about some interesting stuff that didn't make it into the Deceptive Bra
From playlist Stuff They Don't Want You To Know, New Episodes!
Neural Network Architectures & Deep Learning
This video describes the variety of neural network architectures available to solve various problems in science ad engineering. Examples include convolutional neural networks (CNNs), recurrent neural networks (RNNs), and autoencoders. Book website: http://databookuw.com/ Steve Brunton
From playlist Data Science
10 differences between artificial intelligence and human intelligence
Support me on Patreon: https://www.patreon.com/Sabine In this video I will explain what the main differences are between the current approaches to artificial intelligence and human intelligence. For this I first explain how neural networks work and in which sense they mimic the human bra
From playlist Physics
Josh Tenenbaum - The cognitive science perspective: Reverse-engineering the mind (CCN 2017)
Presented at Cognitive Computational Neuroscience (CCN) 2017 (http://www.ccneuro.org) held September 6-8, 2017.
From playlist AI talks
DDPS | Differentiable Programming for Modeling and Control of Dynamical Systems by Jan Drgona
Description: In this talk, we will present a differentiable programming perspective on optimal control of dynamical systems. We introduce differentiable predictive control (DPC) as a model-based policy optimization method that systematically integrates the principles of classical model pre
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Approximating Steam Properties: Machine Learning on IAPWS Standard
Aneet Narendranath
From playlist Wolfram Technology Conference 2019
DIRECT 2021 12 Scientific Machine Learning
DIRECT Consortium at The University of Texas at Austin, working on novel methods and workflows in spatial, subsurface data analytics, geostatistics and machine learning. This is Applications of Scientific Machine Learning for Petroleum Engineering. Join the consortium for access to all
From playlist DIRECT Consortium, The University of Texas at Austin
This video explains the new Neural Game Engine GameGAN from researchers at NVIDIA! This paper uses Deep Learning to store Pacman inside of a learned world model such that you can play the game by sending actions to the generative neural network. This video will describe the problem and how
From playlist Generative Adversarial Networks
Reverse engineering visual intelligence - James DiCarlo
James DiCarlo research goal is a computational understanding of the brain mechanisms that underlie primate visual intelligence. He aims to use this model-based understanding to inspire and develop new machine vision approaches, new neural prosthetics (brain-machine interfaces) to restore
From playlist Wu Tsai Neurosciences Institute
Steps towards more human-like learning in machines - Josh Tenenbaum
More videos on http://video.ias.edu
From playlist Mathematics
Building Machines that Learn & Think Like People - Prof. Josh Tenenbaum ICML2018
Recorded July 13th, 2018 at the 2018 International Conference on Machine Learning Joshua Tenenbaum is Professor of Cognitive Science and Computation at the Massachusetts Institute of Technology. He is known for contributions to mathematical psychology and Bayesian cognitive science. htt
From playlist AI talks
Multi-framework Neural Networks
In this talk I will present NetExternalObject, a new symbol in Wolfram Language 13.2. It exposes new functionality to interface with external deep learning frameworks and run neural networks in their native format without having to manually install any external software.
From playlist Wolfram Technology Conference 2022
MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
This is a talk by Josh Tenenbaum for course 6.S099: Artificial General Intelligence. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world. INFO: Course website: https://
From playlist AI talks
This lecture gives an overview of neural networks, which play an important role in machine learning today. Book website: http://databookuw.com/ Steve Brunton's website: eigensteve.com
From playlist Intro to Data Science