uncleflo
Registered since September 28th, 2017
Has a total of 4246 bookmarks.
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Zimbabwean, William Sachiti Launches Kar-go, Europe's First Roadworthy Driverless Delivery Car - Techzim
Saved by uncleflo on July 30th, 2019.
We have talked about Pasi William Sachiti a few time in the past. We have been impressed by his UK startup, Academy of Robotics which has been working on Kar-go, a driverless car to solve the last mile delivery problem. The last time we talked about Sachiti and Kar-go, he had just successfully raised funding for the innovation via a crowdfunding platform. The autonomous vehicle was launched last week and it was hosted at two glamorous events in the UK. Kar-go was part of the Duke of Richmond’s Festivals of Speed (FOS). This is when the Duke hosts motoring enthusiasts from around the world who flock to see the latest concept cars to classics. A new addition to the show is what is called, the FOS Future Lab which has become a centre piece of the event. This is where Sachiti’s car was featured.
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Java Neural Network Framework Neuroph
Saved by uncleflo on September 15th, 2012.
Neuroph is lightweight Java neural network framework to develop common neural network architectures. It contains well designed, open source Java library with small number of basic classes which correspond to basic NN concepts. Also has nice GUI neural network editor to quickly create Java neural network components. It has been released as open source under the Apache 2.0 license, and it's FREE for you to use it.
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Fast Artificial Neural Network Library (FANN)
Saved by uncleflo on June 16th, 2012.
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read introduction article and a reference manual accompanies the library with examples and recommendations on how to use the library. Several graphical user interfaces are also available for the library.
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21st Century Robotics - NOMAD - The Thinking Robot
Saved by uncleflo on November 9th, 2011.
It is not science fiction. Researchers at The Neurosciences Institute in La Jolla have designed a machine that thinks. The machine's brain is called Darwin, after the 19th century biologist who conceived the theory of natural selection. Under Institute director and Nobel laureate Gerald Edelman, M.D., Ph.D., the Darwin series of thinking brains began in the mid-1980s. Today, Darwin 6 consists of a realistically designed simulation of a nervous system housed in a mobile platform called NOMAD (Neurally Organized Mobile Adaptive Device).
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Vehicles: Experiments in Synthetic Psychology - Valentino Braitenberg - Google Books
Saved by uncleflo on November 4th, 2011.
Valentino Braitenberg is a cybernetician, a neuroanatomist, and a musician. He seeks to understand how the beautiful structures of the brain constitute a machine that can enable us to exhibit such skilled behavior as that involved in playing music. Since the early 1960s, I have turned to Valentino for detailed neuroanatomy and for lively essays that cut away the technical details to illuminate the key issues of what we may call cybernetics or artificial intelligence or cognitive science.
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Charles Anderson's pole simulator
Saved by uncleflo on January 22nd, 2009.
This file contains a simulation of the cart and pole dynamic system and a procedure for learning to balance the pole that uses multilayer connectionist networks. Both are described in Anderson, "Strategy Learning with Multilayer Connectionist Representations," GTE Laboratories TR87-509.3, 1988. This is a corrected version of the report published in the Proceedings of the Fourth International Workshop on Machine Learning, Irvine, CA, 1987.
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An introduction to neural networks
Saved by uncleflo on January 22nd, 2009.
Pattern learning with the back-propagation algorithm
Level: Intermediate
Written by: Andrew Blais and David Mertz on 01 Jul 2001
Neural nets may be the future of computing. A good way to understand them is with a puzzle that neural nets can be used to solve.
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