Machine Learning

For more than a hundred years, mathematicians and engineers have been developing the field of computer science. What started as a theoretical thought experiment all those years ago, the concept of a computer device that can think, is now a goal modern engineers strive to reach. The concept of an artificial intelligence is now a staple of the science fiction genre, while various theories have developed as an attempt to explain how such a creation would function. The scientific study of algorithms and statistical models that allow computers to become more efficient at completing a given task is known as machine learning, and this study is key to the history and development of modern computer programming. At its core, Machine Learning is not a very complex concept, following several basic steps. Firstly, you need data on whatever task you are trying to have completed, in  order to use a basis for a mathematical model. The algorithms used to create this model based on the sample data can then be used in order to make predictions on how the task will be completed or make decisions on how to best complete the task. These basic machine learning algorithms are the basis for all email filtering, firewall protections, and audio-visual analysis. Machine learning tasks come in three main categories: supervised learning, unsupervised learning, and active learning tasks. There are also tasks that fall somewhere in between unsupervised and supervised learning tasks, referred to as semi-supervised tasks, that combine characteristics of both. Supervised …

artificial intelligence

Artificial Intelligence

Artificial intelligence can be defined as the intelligence demonstrated by machines, as supposed to that shown by human beings and other living beings. In computer science, an artificial intelligence is referred to as an intelligent agent. This includes any device that is capable of perceiving its environment and that performs actions that allow it to achieve its goals.  In general however, most people think of an artificial intelligence as a machine that mimics the sort of abilities that are associated with the human mind, usually the ability to learn and solve problems. Developed by Alan Turing in 1950, the turing test was proposed as one method of determining a machine’s intelligence. Simply put, the test is whether or not a human could see the difference between a conversation they were having with a human, and another they were having with a machine. While it is both criticized and highly influential, it is one of the first examples of any person wondering if a machine could be made to think.  As technology has developed over the last few decades, it has become more important to find a useful definition for the term. In some form, it can be argued that artificial intelligence is beginning to become a crucial aspect of a variety of industries. From advertising to military applications, artificial intelligence is being used and developed at an accelerating rate.  In 1997, Deep Blue became the first computer chess playing system to beat a current world chess champion. In 2011, Watson …

Robot Tech

Robot Technology

As we move further into the technological era of the 21st century, there’s a single question at the forefront of society’s mind. Where is automation taking us? Science fiction has long been predicting the use of Robots in the future, but the future is now. From Tesla’s partnership with Uber to create self-driving cars, to Amazon’s drone delivery and robotic dog project, large corporations are in a race for automation. Artificial intelligence is expanding, and robot technology is becoming our reality. Its purpose is to make our lives more efficient: faster, easier, and smarter than ever before. Scientists and engineers are turning complex problems into elegantly reliable solutions. The applications started off small. From plugged in electronics to remote controlled technology, to the future of automatically performed tasks. Roomba by IRobot was released in 2002, the beginning of a new era. This robot technology solved a tedious problem: vacuuming floors for consumers. What used to take hours now takes no time at all. Just let the robot automatically roam a home for dust and dirt, it does the entire job for you. Fast forward a single decade and we can see this technology permeating the consumers market. Medical robots can perform complex surgeries, 3D printers can build houses in a fraction of the time of construction, and Artificial Intelligence can solve problems in real time due to complex algorithms. Robots now have speech recognition, depth perception for location and transportation utilization, and autonomy in decision making. Robots with a single …