Artificial intelligence will identify, assess and underwrite emerging risks and identify new revenue sources. The first machine age, the Industrial Revolution, saw the automation of physical work. We live in the second machine age, where there is increasing augmentation and automation of manual and cognitive work. This second machine age has seen the rise of artificial intelligence (AI), or "intelligence" that is not the result of human cogitation. It is now ubiquitous in many commercial products, from search engines to virtual assistants.

You'll find the rest of the chapter in the full version of the IPython Cookbook, by Cyrille Rossant, Packt Publishing, 2014.

The basic premise of Artificial Intelligence (A.I.) was originally that human intelligence is predictable enough that it can be simulated with computers. As such, A.I. is a broad field involving many areas of research. This includes computer vision, language recognition, decision-making. In more recent years, A.I. has also acquired other challenges including machine learning/ deep learning, as well as robotics as a whole. In fact, if you were to ask the average person what they thought of when someone mentions "artificial intelligence," it's likely they would say "robots" -- thanks to pop culture: TV shows, movies, comics, books and toys.

"Thousands of other abilities contribute to our intelligence, but the use of language as a means of communicating complicated ideas trumps them all."- Here are answers to top five questions regarding natural language generation (NLG). What is Natural Language Generation? Natural Language Generation (NLG), a subfield of artificial intelligence (AI) which produces language as output on the basis of data input, is not a new concept. What is new, however, is the increase in adoption of NLG into the enterprise.

Researchers from the University of Science and Technology of China on Friday revealed a realistic robot they've been working on for the past three years. Called, Jia Jia, the robot is said to be capable of human-like facial expressions, along with talking and interacting with people nearby. While its creators describe it as looking similar to a "real woman," at least it's a step up from that nightmarish home-made Scarlett Johansson robot. Among the details the researchers have incorporated into Jia Jia are the way its eyes will glance around a room in a natural way, as well as mouth movements that align with its speaking. Not only can it respond to humans, but it can recognize when someone is taking a picture and make appropriate comments, such as warning not to stand too close for fear of making her face "look fat."

Police are investigating a pilot's claim that his plane was struck by a drone as it approached Heathrow airport. The Metropolitan police said they were contacted on Sunday afternoon by the pilot, who landed the plane safely at Terminal 5. No one has been arrested, officers said. The flight, BA727, was coming in to London from Geneva, carrying 132 passengers and five crew. British Airways said the Airbus A320 had been examined by engineers and cleared to take off for its next flight after the incident.

I am learning machine learning to use it for stock market price forecasting. While doing that I got this question. If we take any country with stock exchange they have more than one investment assests for trading and investing such as commodity, stock, futures,option,forex etc. Lets say a quant wants to make a machine learning model for stock price prediction in US market. There are thousands of companies (about 2800) stocks are listed in NYSE. How a quant will make a ML model for predicting stock price?

I like to pick roses on a summer's day and meeting friends. I dearly wish for world peace. I hope to work with children, just as soon as I have completed my doctorate in astrophysics. Not really, but I am in training. I am about to enter a beauty contest.

Picture the scenario - a sentient machine is "living" in the US in the year 2050 and starts browsing through the US constitution. Having read it, it decides that it wants the opportunity to vote. Oh, and it also wants the right to procreate. Pretty basic human rights that it feels it should have now it has human-level intelligence. "Do you give it the right to vote or the right to procreate because you can't do both?" asks Ryan Calo, a law professor at the University of Washington.

Computer Vision (CV) is an engine that can understand and separate the visual components of either a still or moving image. It currently has many practical applications but we are likely to see further uses in the next five years which will greatly impact and shape the tech sector. The current uses of CV are wide ranging. From an everyday standpoint, companies such as Shutterstock and Facebook are using the technology to improve their user experience, by making photo navigation easier. At the other end of the spectrum of usage, surveillance and security agencies are also increasingly relying on CV technology in order to better analyse CCTV footage.