Home2017-09-13T02:40:09+02:00
1509, 2017

Robot Localization II: The Histogram Filter

September 15th, 2017|Categories: Artificial Intelligence, Machine Learning, Robotics, Self-Driving Cars|

This is part 2 in a series of articles explaining methods for robot localization, i.e. determining and tracking a robot's location via noisy sensor measurements. You should start with the first part: Robot Localization I: Recursive Bayesian Estimation Idea The [...]

909, 2017

Robot Localization I: Recursive Bayesian Estimation

September 9th, 2017|Categories: Artificial Intelligence, Machine Learning, Robotics, Self-Driving Cars|

This is part 1 in a series of tutorials in which we explore methods for robot localization: the problem of tracking the location of a robot over time with noisy sensors and noisy motors, which is an important task for every [...]

309, 2017

Why the Chinese Room Argument is Flawed

September 3rd, 2017|Categories: Artificial Intelligence, Cognitive Science, Philosophy|

This text deals with arguments against the possibility of so-called strong artificial intelligence, with a particular focus on the Chinese Room Argument devised by philosopher John Searle. We start with a description of the thesis that Searle wants to disprove. Then [...]

2608, 2017

Gödel’s Incompleteness Theorem And Its Implications For Artificial Intelligence

August 26th, 2017|Categories: Artificial Intelligence, Cognitive Science, Philosophy|

Introduction This text gives an overview of Gödel’s Incompleteness Theorem and its implications for artificial intelligence. Specifically, we deal with the question whether Gödel’s Incompleteness Theorem shows that human intelligence could not be recreated by a traditional computer. Sections 2 [...]

2608, 2017

Deep Learning From Scratch V: Multi-Layer Perceptrons

August 26th, 2017|Categories: Artificial Intelligence, Deep Learning, Machine Learning, Python, TensorFlow|

This is part 5 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API. Start with the first [...]

2608, 2017

Deep Learning From Scratch IV: Gradient Descent and Backpropagation

August 26th, 2017|Categories: Artificial Intelligence, Deep Learning, Machine Learning, Python, TensorFlow|

This is part 4 of a series of tutorials, in which we develop the mathematical and algorithmic underpinnings of deep neural networks from scratch and implement our own neural network library in Python, mimicing the TensorFlow API. Start with the first [...]

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