Softmax Regression (synonyms: Multinomial Logistic, Maximum Entropy Classifier, or just Multi-class Logistic Regression) is a generalization of logistic regression that we can use for multi-class classification (under the assumption that the classes are mutually exclusive). In contrast, we use the (standard) Logistic Regression model in binary classification tasks. Now, let me briefly explain how that works and how softmax regression differs from logistic regression. As the name suggests, in softmax regression (SMR), we replace the sigmoid logistic function by the so-called softmax function?: Now, this softmax function computes the probability that this training sample x(i) belongs to class j given the weight and net input z(i). So, we compute the probability p(y j x(i); wj) for each class label in j 1, ..., k.

It's widely known that tech has a diversity issue, Artificial Intelligence is no exception. However, when you're training algorithms to act like you and think like you, diversity all of a sudden becomes a pretty serious issue. "Earlier this month, Bill Gates took the stage at the Recode conference to talk about philanthropy with his wife, Melinda. They discussed mobile payments, contraception, and billionaires giving away their fortunes. Then the conversation turned to artificial intelligence, and Gates grinned and swiveled in his giant red leather chair. "Certainly, it's the most exciting thing going on," he said. It's the big dream that anybody who's ever been in computer science has been thinking about."

With search engine optimization (SEO) maintaining its presence as one of the most effective marketing techniques on the Internet, it's no wonder that over time, new technical changes in algorithms have made the task of ranking both sites and keywords more difficult to understand and execute. While this used to be an easy task that involved including keywords into the content of your website, Google has continually progressed its ranking technology to provide more quality results to its users. With the launch of RankBrain, Google's new algorithm solution, earlier this year, has it stepped into the field of artificial intelligence? One might think so, as RankBrain queries for so much more than the keywords of the past, taking SEO to the next level. Understanding RankBrain, boils down into recognizing that Google wants to provide users ranking content that is relevant. The way users are using Google to search has changed, as now it is seeing complete questions and more complicated keyword searches being inputted.

Facebook is using artificial intelligence to allow users to compose one post in multiple languages. The issue is critical given that half of Facebook's customer base doesn't speak English. The social networking giant said it will begin testing an in-house tool called the "multiligual composer." Using the composer, Facebook customer can write one post and viewers will see it in their preferred language. For Facebook, its scale will improve its machine translation models for less common languages.

Artificial intelligence has been difficult to adopt; it's either too complex or too expensive. To solve this problem, we specifically designed Emozionella AI to be fast, reliable and easy to implement for apps. Our revolutionary A.I. solution works on two levels: the «identification» algorithms recognize the personality of each user and the context of each interaction; the «cognitive» algorithms determine what content or feature is most relevant and how to present it best. Emozionella AI algorithms are configured during the implementation project to match the specifics and requirements of the brand.

Intel will be inside BMW's iNEXT, a completely autonomous car the automaker plans to release by 2021. Intel and visual analytics company Mobileye, will provide underlying technology for the iNEXT to roam streets without human assistance. It's an awkward day to make this announcement, given Thursday's news of a NHTSA investigation following the first known fatality in a self-driving car. The accident involved Tesla's self-driving Autopilot feature, officially in beta but widely used by enthusiastic Tesla customers. Autopilot was engaged when a Model S rammed into a left-turning semi in May, killing the driver.

Finding insight in oceans of data is one of enterprises' most pressing challenges, and increasingly AI is being brought in to help. Now, a new tool for Apache Spark aims to put machine learning within closer reach. Announced on Friday, Sparkling Water 2.0 is a major new update from H2O.ai that's designed to make it easier for companies using Spark to bring machine-learning algorithms into their analyses. It's essentially an API (application programming interface) that lets Spark users tap H2O's open-source artificial-intelligence platform instead of -- or alongside -- the algorithms included in Spark's own MLlib machine-learning library. Among the highlights of the new software is the ability to run Spark and Scala through H2O's Flow user interface.

Many aspects of my life are neat and organized. My computer is not one of them. I rarely purge my system of old files and photos. I forget to uninstall software I don't need anymore. My desktop is a mess of thumbnails and documents.

The U.S. announced Thursday the first fatality in a wreck involving a car in self-driving mode. The government said it is investigating the design and performance of the system aboard the Tesla Model S sedan. A file picture dated 30 April 2015 shows a Tesla Motors Model S on a parking lot of the Tesla Motors Headquarters in Palo Alto, California, USA. Questions abound in the wake of the first death of a driver of a Tesla car with its self-driving features engaged. The National Highway Traffic Safety Administration, which has begun a preliminary evaluation into the fatal May 7 crash of a 2015 Model S electric car, said its probe centers on the car's'Autopilot' feature.

More than 1.5 billion people use Facebook. And only half speak English. The rest speak so many dozens of other languages, effectively silo'd off from the English speakers and, in many cases, from each other. If you stumble onto a Facebook post in a foreign language, Facebook lets you instantly translate it--in a semi-effective way. And beginning today, millions of people will have the option of instantly translating their own posts into any one of 44 other languages, so that they will automatically show up in your News Feed in your native tongue.