This is a bunch of confused ideas about AI, crammed into a weird political ideology. He starts off by suggesting that AI is just the rich anthropomorphizing unknown technology.

The ongoing struggle between good and evil that characterizes the ongoing battles between cyber warriors and cyber criminals only grows more technologically complex. Hear what leading cybersecurity leaders have to say about the application of artificial intelligence and cognitive computing to help cybersecurity best practices stay at least one step ahead of cyber criminals.

I don't think the future of VR looks like video games; I don't think it looks like cinematic VR; I think it looks like stories from our real lives. It's the most amazing afternoon you've ever had. For one person, it might be what we call a rom-com, for another it might be an action movie. For another, it might be something we don't have a movie genre preexisting for. It might be just exploring.

True'smart' technology - systems that can use data from many sources to learn and improve - are transforming everything from manufacturing and enterprise services to consumer goods and social media. The use of automation and artificial intelligence is at the heart of this transformation, but it brings with it a broad range of legal, regulatory and ethical challenges. With smart sensors and the'Internet of Things' providing the eyes and ears of these intelligent systems, controlling who holds data about you and what they use it for becomes more difficult. Who is liable for decisions made by autonomous systems - from injuries caused by self-driving cars to discrimination by automated systems used for credit checking on loans - is often far from clear cut.

True'smart' technology - systems that can use data from many sources to learn and improve - are transforming everything from manufacturing and enterprise services to consumer goods and social media. The use of automation and artificial intelligence is at the heart of this transformation, but it brings with it a broad range of legal, regulatory and ethical challenges. With smart sensors and the'Internet of Things' providing the eyes and ears of these intelligent systems, controlling who holds data about you and what they use it for becomes more difficult. Who is liable for decisions made by autonomous systems - from injuries caused by self-driving cars to discrimination by automated systems used for credit checking on loans - is often far from clear cut. We will consider how consumers, businesses operating these AIs and the vendors selling AI-driven products or licensing these systems each have a part to play in defining a new landscape for legal risk after the rise of the robots.

Last month, Facebook's "Trending" tab featured Megyn Kelly as a topic, displaying hoax news items claiming she had been fired by Fox News. Many critics pointed out that the mistake occurred shortly after the social network decided to shed the editorial team in charge of overseeing trending topics. The company had gone almost entirely algorithmic with the feature, and the move had almost immediately failed. A Quartz postmortem ascribed the incident to an "inmates running the asylum" scenario. The algorithm that surfaced the news based its selection on Facebook users' activity, and for reasons of policy or practice human overseers had neglected to correct the mistake.

In this episode of Coffee with a Googler, we meet with Christine Robson to talk all about Artificial Intelligence, Machine Learning and more. We look at project Magenta, and how it was used to create computer generated music. In addition to that we delve into how machine intelligence was used to award-winning effect in YouTube. And all of the technology that was used to build this is now available to you, open sourced.

Artificial intelligence (AI) is poised to have a transformative effect on consumer, enterprise, and government markets around the world. An umbrella term that refers to information systems inspired by biological systems, AI encompasses multiple technologies including machine learning, deep learning, computer vision, natural language processing (NLP), machine reasoning, and strong AI. According to a new report from Tractica, these technologies have use cases and applications in almost every industry and promise to significantly change existing business models while simultaneously creating new ones. The market intelligence firm forecasts that annual worldwide AI revenue will grow from 643.7 million in 2016 to 36.8 billion by 2025. In sizing and forecasting the total global AI market, Tractica has identified 191 real-world use cases for AI, organized into 27 different industry sectors and corresponding with six major technology categories, plus multiple combinations of technologies.

Infosys is a global leader in consulting, information technology, outsourcing and next-generation services with clients in more than 50 countries. With 9.02 billion in Q2 FY16 revenues and more than 193,000 employees, the Indian multinational is helping enterprises redefine their present and future in a world where innovative solutions in mobility, sustainability, big data and cloud computing are required. Founded in 1981 by seven engineers with 250, Infosys is the second-largest Indian IT services company by 2016 revenues and was the fifth largest employer of H-1B visa professionals in the US in 2013. America is also home to its Global Head of Digital, Scott Sorokin, who has been a strategist and digital partner for senior-level executives at Fortune 100 companies for over 25 years. Formerly the the chief strategy officer at Publicis.Sapient/Razorfish and Rosetta, the New York-based Sorokin combines CXO-level business strategy, technology and marketing experience in a fast-changing global market to spur digital innovation at Infosys.

In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They've mastered the ancient game of Go and thrashed the best human players. But there is a problem.