Warren McCulloch, Walter Pitts, Alan Turing, Donald Hebb, John McCarthy, Claude Shannon, Allen Newell, Herbert Simon, Arthur Samuel, Frank Rosenblatt, Bernard Widrow, Ted Hoff, Marvin Minsky, Seymour Papert and the evolution of neural networks and AI.
Visualization of a fully connected neural network, version 2
In this version of the visualization, neurons that have similar response patterns are placed next to each other.
What is a Neural Network | Neural Networks Explained in 7 Minutes | Edureka
This Edureka video on ‘What is a Neural Network’ will help you understand how Neural Networks can be used to solve complex, data-driven problems along with their real-world applications.
Running Neural Networks on Meshes of Light
Silicon Photonics represent a quantum leap in technological speed and power efficiency. One major issue when dealing with light is the fact that you’re reading the probabilities of the light waves. You run into quantum mechanics at this level. Light is sensitive to interference of the environment through quantum decoherence. I believe there will be a solution to this problem as our understanding of quantum systems evolves.
Why Neural Networks can learn almost anything
A video about neural networks, how they work, and why they’re useful.
Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn
This video on “What is a Neural Network” delivers an entertaining and exciting introduction to the concepts of Neural Network. We will learn the different layers present in a Neural Network and understand how these layers process data. We will get an idea of the different parameters used in a Neural Network such as weights, bias, and activation functions. We will also understand how to train a Neural Network using forward propagation and then adjust to the errors in the network using the backpropagation method. This video also covers a few popular Neural Network applications. Now, let us jump straight into learning what is a Neural Network.
We’re Building Computers Wrong (for artificial intelligence)
The video depicts the benefits of modern analog computers as well as their limitations. Analog computers are not as good as digital computers in many ways, but they are better in very specific ways and could enhance the future evolution of AI.
Animated Neural Network with Feedback
Animated Neural Network — A small network with a feedback loop. This is a cartoon of a very simple fully-connected (FC) neural network with input (X), three FC hidden layers (H1, H2, H3) and the output (Y). The input was intentionally made to send information through hidden-layer neurons at different times, to make it easier for the viewer to follow the motion of the moving arrows (movement of data through the network). In practice, the information from one layer to the next practically travels at the same time
Creating a Neural Network – University of Michigan
Using Tensorflow and Keras we created a Convolutional Neural Network trained on nearly 3000 images that combat overfitting and augmentation images all while determining the best parameters.
Will GPT-4 Surpass The Human Brain? – Cerebras CS-2 Artificial Intelligence Chip
With the release of the most power Artificial Intelligence Accelerator Chip, future AI models like OpenAI’s GPT-4 will be able to surpass the Human Brain by supporting more than 100 Trillion Parameters. This new Chip made by Cerebras Systems is also be biggest Chip ever made by a longshot and thus can support ExaFlop Supercomputers for AI Model Training.
Cerebras Systems is an American semiconductor company with offices in Silicon Valley, San Diego, Toronto, and Tokyo. Cerebras builds computer systems for complex artificial intelligence and deep learning applications.