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Apple Catches Up on Artificial Intelligence(AI) & Machine Learning(ML), WWDC 2017
http://www.youtube.com/watch?v=PckCYNGtjY0
Apple is sort of late to the Artificial Intelligence(AI) and Machine learning game, but it just launched the peer-to-peer payment, the Machine Learning ML Core …

New AI Designed to Be Mentally Unstable: What Could Go Wrong?

One company has created an artificially intelligent machine-learning system that suffers from mental instability, or the AI equivalent, and the creators deliberately designed it to be unstable. This tortured artist of an AI is called DABUS, short for “Device for the autonomous bootstrapping of unified Sentience.” It was created by computer scientist Stephen Thaler, who used a technique called “Generative adversarial networks” to mimic the extreme fluctuations in thought and emotion experienced by humans who suffer from mental illness. His Missouri-based company, Imagination Engines, developed a two-module process: Imagitron infused digital noise into a neural network, causing DABUS to generate new ideas and content; then, a second neural network, Perceptron, was integrated to assess DABUS’s output and provide feedback. This method of creating an echo chamber between neural networks is not new or unique. What Thaler and his company are using it for – deliberately tweaking an AI’s cognitive state to make its artistic output more experimental – is. The result is an AI interface with symptoms of insanity. “At one end, we see all the characteristic symptoms of mental illness, hallucinations, attention deficit and mania,” Thaler says, describing DABUS’s faculties and temperament. Thaler believes that integrating human-like problem-solving – and human-like flaws, such as mental illness – may significantly enhance an AI’s ability to create innovative artwork and subjective output. While everyone is familiar with the psychedelic and surreal canvases produced by Google’s Deep Dream algorithm, they may be uniquely impressed by the more measured and meditative work of DABUS. Above: a few of DABUS’s surreal pieces, born of neural networks. Thaler also believes this technique will improve the abilities of AI in stock market predictions and autonomous robot decision-making. What are the risks to infusing mental illness into a machine mind? Thaler believes there are limits but that psychological problems could be just as natural to AI as they are to humans. “The AI systems of the future will have their bouts of mental illness,” Thaler speculates.
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Artificial Intelligence Introduction

What is Artificial Intelligence? Definition…. Artificial Intelligence is a branch of Science which deals with helping machines find solutions to complex problems in a more human-like fashion. Why Artificial Intelligence? Motivation…. Computers are fundamentally well suited to performing mechanical computations, using fixed programmed rules. Artificial Intelligence aims to improve machine behaviour in tackling such complex tasks. Currently, Artificial Intelligence rather seems to focus on lucrative domain specific applications, which do not necessarily require the full extent of AI capabilities. How does Artificial Intelligence work? Technology…. There are many different approaches to Artificial Intelligence, none of which are either completely right or wrong. This explains why the field of Artificial Intelligence is split into many branches, ranging from Pattern Recognition to Artificial Life, including Evolutionary Computation and Planning. Who uses Artificial Intelligence? Applications…. The potential applications of Artificial Intelligence are abundant. As you may expect, the business of Artificial Intelligence is becoming one of the major driving forces for research. Where can I find out about Artificial Intelligence? Information…. If you’re interested in AI, you’ve come to the right place! The Artificial Intelligence Depot is a site purely dedicated to AI bringing you daily news and regular features, providing you with community interaction as well as an ever growing database of knowledge resources. Once you’ve finished reading this page, the first thing you should do is visit the Artificial Intelligence Depot’s main page. Getting a good book on the subject is probably one of the smartest moves to make if you are really serious about Artificial Intelligence. A good starting point is the book called Artificial Intelligence: A Modern Approach, which covers important material from the ground upwards.
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Artificial Intelligence Group at Colorado State University

Artificial Intelligence Group at Colorado State University Description The AI Program is made up of six faculty and approximately 30 graduate students within the Department of Computer Science with strong collaborative ties to other departments at Colorado State and to local industry. Participating Faculty Director: Dr. Darrell Whitley, Genetic Algorithms Current Research The following list is a sample of the research currently being conducted in the AI program. Genetic Algorithms Applications of Genetic Algorithms to seismic problems, development of new test problems and comparisons of GAs to other local search and heuristic search methods. Combinations of genetic algorithms and neural networks. Function approximation methods are being investigated as ways to solve multi-step decision problems using reinforcement learning. Proofs of stability while learning are being developed by incorporating reinforcement learning into a theoretical robust control framework. Neural networks are being used to extract patterns in EEG signals that indicate which mental task a person is performing, with the goal of providing a new mode of communication for disabled persons. An adaptive assistant is being developed to speed the tedious process of hand-tracing the two-dimensional contours of regions of interest in biomedical images, which are then assembled into three-dimensional models. Areas being studied include 3D object to multi-sensor alignment, model representations conducive to multi-sensor matching, techniques for finding near optimal matches, and 3D real-time visualization techniques to monitor alignment and recognition procedures. Local search, genetic algorithms and hybrids are being studied as heuristic combinatorial optimization techniques for solving difficult geometric object recognition problems. AI Curriculum The Artificial Intelligence curriculum at CSU consists of a core of the following courses. Additional courses focussed in various artificial intelligence topics, such as bioinformatics, are often offered.
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