Phil and Stephen Gordon discuss rapid progress in artificial intelligence and how AI is fundamentally reshaping our world.

Beware this article may contain spoilers! Here is a list of AI movies you should definitely watch. I guess I first realised what AI meant when I was watching A.I. Artificial Intelligence: a small boy could technically be replaced by a robot, expressing his feelings, thinking and learning things like a real human. What struck me in the movie, was that no matter what the robot did to be like a real boy, it seemed to stop him from being accepted as a son. It seemed inevitable: Humans & AI could not coexist in the same Universe. This actually happened in a lot of movies like HER where Samantha can no longer stay within our human world and all the OSes need to go away in order to evolve.

I have been getting into Natural Language Processing more lately, and have been reading about tools and products that are available right now. I came across the name Narrative Science again. It's an Artificial Intelligence technology company based in Chicago. I first heard about them a few years ago when I read an article about one of their products writing pretty decent sports reports for local newspapers. I looked around their website to see if I can learn a bit more about their technology, but unsurprisingly they are very cagey about revealing anything actionable about their work.

Artificial Intelligence is by now a relatively old field, having originated in the early days of the digital computer revolution. However, it has had a very rocky and turbulent history, going through several cycles of overblown expectations followed by almost equally dramatic swings towards disillusionment and skepticism. In recent years, though, it has matured into a very solid and practical discipline that exercises an ever growing importance across a wide breadth of technologies and professions. We increasingly take speech recognition, handwriting recognition, and natural language search for granted. Basic familiarity with what Artificial Intelligence is, and what tools and techniques fall under its domain, are becoming ever important aspect of a variety of professions and occupations.

One prediction I have made about the future of service delivery automation (SDA) is that increasingly enterprise software will have the technology embedded. This is particularly true of intelligent and cognitive type of tools. I expect these to become a common feature of enterprise software in the next 5-7 years. We saw this kind of trend in the earlier days of business intelligence and reporting. The popularity of third-party tools saw the functionality built into enterprise software.

Say what you will about civilian drones and drone pilots, but when the going gets tough, these drone pilots will get going. According to published Federal Aviation Administration (FAA) commercial drone exemption requests, a big chunk of drone pilots are willing to lend a hand for possible emergencies. A total of 19 percent mentioned emergency services--that's six times as many requests from the last quarter of 2015. With all these pilots willingly to help out in case of emergencies, this could mean that private pilots can easily aid officials during search and rescue missions and other equally critical emergency scenarios. Despite this magnanimous offer to lend a hand, it doesn't necessarily guarantee pilots flying time. Certain legal restrictions may keep them on the ground– according to an FAA spokeswoman who spoke to The Verge, "a civilian must have a 333 exemption" to participate in emergency services.

In recent years Artificial Intelligence (AI) has rapidly gone from an obscure academic research field, to an ever more useful and ubiquitous applied discipline. We increasingly rely on AI for more and more of our everyday tasks, and whole lines of work are being thoroughly transformed by its advances. AI's increasing ubiquity is not making it any easier to understand. AI concepts and techniques are still domain of advanced undergraduate or graduate school level courses. There are a few popular AI books out there, but most of them don't get "under the hood" of how AI actually works.

In this series of exploratory blog posts, we explore the relationship between recurrent neural networks (RNNs) and IoT data. The article is written by Ajit Jaokar, Dr Paul Katsande and Dr Vinay Mehendiratta as part of the Data Science for Internet of Things practitioners course. RNNs are already used for Time series analysis. Because IoT problems can often be modelled as a Time series, RNNs could apply to IoT data. In this multi-part blog, we first discuss Time series applications and then discuss how RNNs could apply to Time series applications.

The Diet on Thursday enacted a law banning drones from flying over important facilities such as the Prime Minister's Office while giving police the power to destroy drones if necessary. The legislation is expected to take effect before a foreign ministerial meeting of the Group of Seven industrial nations takes place in Hiroshima on April 11-12. Prime Minister Shinzo Abe's ruling coalition had been seeking early enactment of the bill to strengthen anti-terrorism measures ahead of the G-7 summit in Mie Prefecture in late May. The Civil Aeronautics Law was revised to regulate drone flights in September after a small drone was found on the roof of the building housing the Prime Minister's Office last April. A man was later convicted over the incident.

DETROIT – As autonomous car technology rapidly progresses, makers of the cars face the difficult question of how safe they must be before they're ready to move people on highways and city streets. Right now, companies such as Google, Audi and Mercedes-Benz are testing the cars in a small number of cities to demonstrate they can be safer than human drivers. They also must figure out what level of risk is acceptable to both government regulators and a potentially skeptical public. Government statistics show that human mistakes are responsible for 94 percent of the 33,000 U.S. traffic fatalities each year. Autonomous cars won't get drowsy, distracted or drunk, so in theory they could eliminate those mistakes and save an estimated 31,000 lives a year.