Knowing that an AI wrote Sunspring makes the movie more fun to watch, especially once you know how the cast and crew put it together. Director Oscar Sharp made the movie for Sci-Fi London, an annual film festival that includes the 48-Hour Film Challenge, where contestants are given a set of prompts (mostly props and lines) that have to appear in a movie they make over the next two days. Sharp's longtime collaborator, Ross Goodwin, is an AI researcher at New York University, and he supplied the movie's AI writer, initially called Jetson. As the cast gathered around a tiny printer, Benjamin spat out the screenplay, complete with almost impossible stage directions like "He is standing in the stars and sitting on the floor." Then Sharp randomly assigned roles to the actors in the room.

The past two decades has seen machine learning (ML) transformed from an academic curiosity to a multi-billion dollar industry, and a centerpiece of our economic, social, scientific, and security infrastructure. Much work in machine learning has drawn on research in optimization, motivated by large-scale applications requiring analysis of massive high-dimensional data. In this talk, I'll argue that the growing importance of networked data environments, from the Internet to cloud computing, requires a fundamental rethinking of our basic analytic tools. My thesis will be that ML needs to shift from its current focus on optimization to equilibration, from modeling the world as uncertain, but stationary and benign, to one where the world is non-stationary, competitive, and potentially malicious. Adapting to this new world will require developing new ML frameworks and algorithms.

Azure ML Hands-On Lab content is now available on GitHub and open for community contributions. With developers in mind, this content is aimed at providing general information about machine learning, and uses Azure ML as the toolset. You'll find basic concepts such as theoretical and practical definitions of ML and common use case scenarios, as well as hands-on lab materials with step-by-step instructions on how to activate an Azure ML subscription, how to install the most popular local ML solution development environments and an introduction to R and Python. Find out more about Azure ML Hands-On Lab content on the Cortana Intelligence and Machine Learning Blog.

Classification is one of the major problems that we solve while working on standard business problems across industries. In this article we'll be discussing the major three of the many techniques used for the same, Logistic Regression, Decision Trees and Support Vector Machines [SVM]. All of the above listed algorithms are used in classification [ SVM and Decision Trees are also used for regression, but we are not discussing that today!]. Time and again I have seen people asking which one to choose for their particular problem. Classical and the most correct but least satisfying response to that question is "it depends!".

Bengaluru: Wipro Ltd will use its artificial intelligence platform Holmes to automate several aspects of its so-called fixed-price projects, saving up to 46.5 million and freeing around 3,000 engineers from mundane software maintenance activities. The move is part of Wipro's larger plan to generate 60- 70 million in revenue by selling the platform to new and existing clients in the current financial year. About 30,000 of Wipro's workforce in the delivery side of the business are engaged in fixed-price projects. The company has over 150,000 employees, including 110,000 in delivery. New chief executive officer Abidali Neemuchwala has set an ambitious target for Wipro-- more than tripling its revenue growth to 12-14% for fiscal 2017.

The Electronic Entertainment Expo, also known as E3, will be prefaced by Bethesda Softworks and Electronic Arts press conferences Sunday, but a lot of news has already leaked ahead of the big event. Several big games have been revealed, and rumblings about new Microsoft, Nintendo and Sony video game consoles have been swelling for months. Based on the rumors, E3 2016 at the Los Angeles Convention Center June 14-16 is shaping up to be a fascinating event that could have a great effect on the video game industry. Nothing gets gamers' blood flowing like a good console unveiling. E3 is the place where consoles are launched, which is why 2016 is an odd year in the event's history.

New research explains why so many biological networks, including the human brain (a network of neurons), exhibit a hierarchical structure, and will improve attempts to create artificial intelligence. The study, published in PLOS Computational Biology, demonstrates this by showing that the evolution of hierarchy – a simple system of ranking – in biological networks may arise because of the costs associated with network connections. Like large businesses, many biological networks are hierarchically organised, such as gene, protein, neural, and metabolic networks. This means they have separate units that can each be repeatedly divided into smaller and smaller subunits. For example, the human brain has separate areas for motor control and tactile processing, and each of these areas consist of sub-regions that govern different parts of the body.

Keras is a Python library for deep learning that wraps the efficient numerical libraries TensorFlow and Theano. Keras allows you to quickly and simply design and train neural network and deep learning models. In this post you will discover how to effectively use the Keras library in your machine learning project by working through a binary classification project step-by-step. Binary Classification Worked Example with the Keras Deep Learning Library Photo by Mattia Merlo, some rights reserved. The dataset we will use in this tutorial is the Sonar dataset.

This film is brought to you by the World Technology Network. Job displacement due to automation of ever increasing range of professions - from truck drivers and lawyers, to writers and financial analysts - is likely to be one of the greatest challenges of the next couple of decades. A 2013 Oxford study predicts that up to 47% of jobs could be lost in the United States - nearly twice the unemployment rate of the Great Depression. Why wait till it's too late? Let's talk about this elephant in the room now.

A series of emails between American diplomats in Pakistan and Washington over drone strikes are the focus of the criminal probe involving presumptive Democratic presidential nominee Hillary Clinton's handling of classified information, according to a report Thursday by The Wall Street Journal. The emails in 2011 and 2012 were sent through a "computer system for unclassified matters" that gave the State Department input into whether a Central Intelligence Agency drone strike went forward, congressional and law enforcement officials briefed on the FBI probe told the Journal. Some of those emails were then sent by then-Secretary of State Clinton's aides to her personal email account and private server, officials told the Journal. The vaguely worded messages, however, didn't mention the "CIA," "drones" or details about the targets, the Journal reported. The emails were written within the often-narrow time frame in which State Department officials had to decide whether or not to object to drone strikes before the CIA pulled the trigger, officials told the newspaper.