Artificial Intelligence and Machine Learning

“Machine Learning: Living in the Age of AI,” examines the extraordinary ways in which people are interacting with AI today. Hobbyists and teenagers are now developing tech powered by machine learning and WIRED shows the impacts of AI on schoolchildren and farmers and senior citizens, as well as looking at the implications that rapidly accelerating technology can have. The film was directed by filmmaker Chris Cannucciari, produced by WIRED, and supported by McCann Worldgroup. Machine Learning: Living in the Age of AI | A WIRED Film

The human body is not infallible, but through the wonders of A.I. research scientists are finding ways to address those imperfections. A.I. has the potential to heal, enhance and make up for the things our bodies lack. Artificial intelligence originally aspired to replace doctors. Researchers imagined robots that could ask you questions, run the answers through an algorithm that would learn with experience and tell whether you had the flu or a cold. However, those promises largely failed, as artificial intelligent algorithms were too rudimentary to perform those functions. Particularly tricky was the variability between people, which caused basic machine learning algorithms to miss the patterns. Eventually though, a subset of AI called deep learning became sensitive enough to recognize speech from voice data. Although deep learning algorithms required loads of training data, they could eventually learn to recognize words regardless of accents and other differences in speech...

This Edureka video on "Artificial Intelligence" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples. Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners.

As artificial intelligence becomes less of an ambiguous marketing buzzword and more of a precise ideology, it's increasingly becoming a challenge to understand all of the AI terms out there. So to kick off the brand new AI Zone, the Editorial Team here at DZone got together to define some of the biggest terms in the world of artificial intelligence for you.  A Algorithms : A set of rules or instructions given to an AI, neural network, or other machines to help it learn on its own; classification, clustering, recommendation, and regression are four of the most popular types. Artificial intelligence : A machine’s ability to make decisions and perform tasks that simulate human intelligence and behavior. Artificial neural network (ANN) : A learning model created to act like a human brain that solves tasks that are too difficult for traditional computer systems to solve. Autonomic computing : A system's capacity for adaptive self-management of its own resources for high...

Artificial Intelligence (AI) continues to make its way into the world, influencing popular culture (think Steven Spielberg’s “A.I.”, or Disney’s “Big Hero 6”) and becoming a disruptor is a variety of industries. From customer service chatbots to extremely sophisticated autopilot driving machines, artificial intelligence is undoubtedly making an impact on everything around us. And marketers have the opportunity to make AI work for them. To understand how AI impacts our marketing world, we need to know the language of AI and have a basic understanding of how it works. Some important terms to become familiar with: Algorithm An algorithm is a formula representing the relationship between certain variables. Think of algorithms as a simple set of instructions with a finite end designed to produce an output. An every day example of an algorithm is a recipe. You have a set amount of inputs (ingredients) designed to produce a repeatable output — apple pie, for example. Machine learn...

It’s almost harder to understand all the acronyms that surround artificial intelligence (AI) than the underlying technology. Couple that with the different disciplines of AI as well as application domains and it’s easy for the average person to tune out and move on. Below we attempt to explain the important parts of artificial intelligence and how they fit together. At Sonix we are specifically focused on automatic speech recognition so we explain the key technologies with that in mind. First let’s start with some of the most commonly used acronyms and their definitions: Artificial Intelligence (AI) - the broad discipline of creating intelligent machines Machine Learning (ML) - refers to systems that can learn from experience Deep Learning (DL) - refers to systems that learn from experience on large data sets Artificial Neural Networks (ANN) - refers to models of human neural networks that are designed to help computers learn Natural Language Processing (NLP) - refers to sy...

Self-driving cars are already cruising the streets. But before they can become widespread, car makers must solve an impossible ethical dilemma of algorithmic morality. When it comes to automotive technology, self-driving cars are all the rage. Standard features on many ordinary cars include intelligent cruise control, parallel parking programs, and even automatic overtaking—features that allow you to sit back, albeit a little uneasily, and let a computer do the driving. So it’ll come as no surprise that many car manufacturers are beginning to think about cars that take the driving out of your hands altogether (see “ Drivers Push Tesla’s Autopilot Beyond Its Abilities ”). These cars will be safer, cleaner, and more fuel-efficient than their manual counterparts. And yet they can never be perfectly safe. And that raises some difficult issues. How should the car be programmed to act in the event of an unavoidable accident? Should it minimize the loss of life, even if it means sacrif...