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bionerdnotes.wordpress.com
| | bair.berkeley.edu
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| | adifferentconnection.wordpress.com
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| | Scott Aaronson, a well-known MIT computer scientist, has offered 100000$ to the person that convinces him (and in the same time the entire physics community) that scaleable quantum computing is impossible in the physical world. Although several principles of quantum computation like the implementation of Shor's algorithm have already been prooven multiple qubit operations and...
| | deepmind.google
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| | Proteins are essential to life, supporting practically all its functions. They are large complex molecules, made up of chains of amino acids, and what a protein does largely depends on its unique...
| | matt.might.net
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| [AI summary] This text explains how a single perceptron can learn basic Boolean functions like AND, OR, and NOT, but fails to learn the non-linearly separable XOR function. This limitation led to the development of modern artificial neural networks (ANNs). The transition from single perceptrons to ANNs involves three key changes: 1) Adding multiple layers of perceptrons to create Multilayer Perceptron (MLP) networks, enabling modeling of complex non-linear relationships. 2) Introducing non-linear activation functions like sigmoid, tanh, and ReLU to allow networks to learn non-linear functions. 3) Implementing backpropagation and gradient descent algorithms for efficient training of multilayer networks. These changes allow ANNs to overcome the limitations of ...