Determining the optimal size and orientation of small-scale residential based PV arrays will become increasingly complex in the future smart grid environment with the introduction of smart meters and dynamic tariffs. However consumers can leverage the availability of smart meter data to conduct a more detailed exploration of PV investment options for their particular circumstances. In this paper, an optimization method for PV orientation and sizing is proposed whereby maximizing the PV investment value is set as the defining objective. Solar insolation and PV array models are described to form the basis of the PV array optimization strategy. A constrained particle swarm optimization algorithm is selected due to its strong performance in non-linear applications. The optimization algorithm is applied to real-world metered data to quantify the possible investment value of a PV installation under different energy retailers and tariff structures. The arrangement with the highest value is determined to enable prospective small-scale PV investors to select the most cost-effective system.

In order to receive a patent, the subject of the protection must be a human invention. Some want to change that and allow computers programmed to "artificial intelligence" sophistication to receive patents. New research published by the University of Surrey in Boston College Law Review is calling for inventions by computers to be legally granted patents. The research states that the rapid increase in computer power is posing new challenges when it comes to patenting an invention. Artificial intelligence is playing an ever larger role in innovation -- with major players such as IBM, Pfizer and Google investing heavily in creative computing -- but current patent law does not recognise computers as inventors.

To start with, usually, the cases where Logistic Regression is performed is when the cases of interest are small in no ( 5%) - like in your case, small size of frauds. The intention is to identify patterns to be able to identify fraud before their fraud in future. Second, when you say variables are correlated, they also generally have a similar information in terms of business sense. For eg., Price variables & Discount are two correlated variables, yet different transformations of the same kind of data. So, it makes sense to keep just one! Similarly, in your case, it's best to isolate such cases.

Oren Etzioni, a well-known AI researcher, complains about news coverage of potential long-term risks arising from future success in AI research (see "Are Experts Worried About the Existential Risk of Artificial Intelligence?"). After pointing the finger squarely at Oxford philosopher Nick Bostrom and his recent book, Superintelligence, Etzioni complains that Bostrom's "main source of data on the advent of human-level intelligence" consists of surveys on the opinions of AI researchers. He then surveys the opinions of AI researchers, arguing that his results refute Bostrom's. It's important to understand that Etzioni is not even addressing the reason Superintelligence has had the impact he decries: its clear explanation of why superintelligent AI may have arbitrarily negative consequences and why it's important to begin addressing the issue well in advance. Bostrom does not base his case on predictions that superhuman AI systems are imminent.

What is Wizeline AI Academy? Wizeline AI Academy offers qualified applicants tuition-free coursework on artificial intelligence, machine learning and other advanced software engineering skills and technologies. AI Academy will offer three course tracks: Intensives, which are multi-week programs designed for those who wish to become subject matter experts, and weekend Crash Courses. Following the completion of any of the courses, students with a background in computer science or engineering will be prepared to take on artificial intelligence development work at technology companies.

SAN FRANCISCO--(BUSINESS WIRE)--Wizeline, the leading provider of digital product and customer experience solutions powered by artificial intelligence, today announced the launch of Wizeline Artificial Intelligence Academy, or Wizeline AI Academy for short. The program, which will matriculate its first classes starting in December 2016, offers qualified applicants tuition-free coursework on artificial intelligence, machine learning and other advanced software engineering skills and technologies. The courses will be given at Wizeline's office campus in Guadalajara, Mexico. Interested candidates can apply by visiting AI Academy's website. With its main software engineering campus in Guadalajara, Wizeline has more than tripled in size in the past year.

This article discusses a far more general version of the technique described in our article The best kept secret about regression. Here we adapt our methodology so that it applies to data sets with a more complex structure, in particular with highly correlated independent variables. Our goal is to produce a regression tool that can be used as a black box, be very robust and parameter-free, and usable and easy-to-interpret by non-statisticians. It is part of a bigger project: automating many fundamental data science tasks, to make it easy, scalable and cheap for data consumers, not just for data experts. Readers are invited to further formalize the technology outlined here, and challenge my proposed methodology.

Equipment to sort recycled plastic is shown at the Repreve Bottle Processing Center, part of the Unifi textile company in Reidsville, N.C. HOW BIG IS THE PROBLEM? American factory production, minus raw materials and some other costs, more than doubled over the same span to $1.91 trillion last year, according to the Commerce Department, which uses 2009 dollars to adjust for inflation For jobs which involve performing predictable physical activities, the researchers say the feasibility of automation is roughly 78 percent. Research shows that the automation of U.S. factories is a much bigger factor than foreign trade in the loss of factory jobs A study at Ball State University's Center for Business and Economic Research last year found that trade accounted for just 13 percent of America's lost factory jobs. The views expressed in the contents above are those of our users and do not necessarily reflect the views of MailOnline.

As machine learning becomes ubiquitous, robots will be tasked with handling increasingly more sensitive and private data. In order to help protect this personal information, computer scientists at Google have developed neural networks that teach themselves how to encrypt the information they process. A team from Google Brain, the organisation's deep learning research project, taught neural networks how to encrypt and decrypt messages. In a research paper published online the scientists created three neural networks: Alice, Bob, and Eve. Each was assigned its own job.

Big Blue is bringing its Watson artificial intelligence tools to the world in a big way, with new tools announced this week for marketing, commerce, supply chains, and human resources. IBM also rolled out a new hybrid cloud database solution, cognitive capabilities for iOS apps, and services for developers using the Slack collaboration platform. The company announced the new products and services at its World of Watson event taking place this week in Las Vegas. The conference is dedicated to promoting IBM's artificial intelligence technologies. One of the key themes of this year's conference is how Watson can help business professionals.