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benhouston3d.com
| | seblagarde.wordpress.com
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| | The slides of my talk "Physically-Based Materials: Where Are We?" in the open real-time rendering course at Siggraph 2017 are available here: http://openproblems.realtimerendering.com/s2017/index.html This talk is about current state of the art of physically based material in real time rendering and what could be done in the future. Often people tend to say that material...
| | alain.xyz
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| | A review of the rendering architecture of Control, reviewing their ray tracer, rendering architecture, and technical art direction.
| | blog.wolfire.com
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| | 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 ...