Results will be integrated into the above repository eventually. The Recurrent Networks take as input a 3D Tensor batch_size x seq_length x hidden_size and output the last hidden state, compute a MSE loss and compute the gradients of error with respect to each parameter. The hidden_size specifies the size of the output and input layer of the networks. The code of the scripts we ran are available. The code for the regular theano RNN implementations were borrowed from the rnn-benchmarks repository.

Vine, the six-second video app, is shutting down completely. Owner Twitter has decided to discontinue the mobile app, apparently as part of its plan to rescue itself from its ongoing crisis. The app and its looping, six-second videos helped define some of the aesthetic of the videos that now flood social networks like Facebook. And it helped launch a range of new stars, many of whom have now branched out into other places like Snapchat. An employee shows a Samsung Electronics' Gear S3 Classic during Korea Electronics Show 2016 in Seoul, South Korea Visitors experience Samsung Electronics' Gear VR during the Korea Electronics Grand Fair at an exhibition hall in Seoul, South Korea Amy Rimmer, Research Engineer at Jaguar Land Rover, demonstrates the car manufacturer's Advanced Highway Assist in a Range Rover, which drives the vehicle, overtakes and can detect vehicles in the blind spot, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire Chris Burbridge, Autonomous Driving Software Engineer for Tata Motors European Technical Centre, demonstrates the car manufacturer's GLOSA V2X functionality, which is connected to the traffic lights and shares information with the driver, during the first demonstrations of the UK Autodrive Project at HORIBA MIRA Proving Ground in Nuneaton, Warwickshire In its facilities, JAXA develop satellites and analyse their observation data, train astronauts for utilization in the Japanese Experiment Module'Kibo' of the International Space Station (ISS) and develop launch vehicles The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight.

This is a guest repost by Jacob Joseph from CleverTap. Why would you want to convert a numerical variable into categorical one? Depending on the situation, it can lead to a better interpretation of the numerical variable, quick segmentation or just an additional feature for building your predictive model by creating bins for the numerical variable. Binning is a popular feature engineering technique. Suppose your hypothesis is that the age of a customer is correlated with their tendency to interact with a mobile app.

Join us November 8th in the Cyril Magnin 2 room at 2:15 pm on for a panel discussion on how advances in machine learning, deep learning and neural networks are transforming data management and decision making in almost every industry sector from retail to security and healthcare. These experts will discuss real world implementation challenges.

Judging others' personalities is an essential skill in successful social living, as personality is a key driver behind people's interactions, behaviors, and emotions. Although accurate personality judgments stem from social-cognitive skills, developments in machine learning show that computer models can also make valid judgments. This study compares the accuracy of human and computer-based personality judgments, using a sample of 86,220 volunteers who completed a 100-item personality questionnaire. We show that (i) computer predictions based on a generic digital footprint (Facebook Likes) are more accurate (r 0.56) than those made by the participants' Facebook friends using a personality questionnaire (r 0.49); (ii) computer models show higher interjudge agreement; and (iii) computer personality judgments have higher external validity when predicting life outcomes such as substance use, political attitudes, and physical health; for some outcomes, they even outperform the self-rated personality scores. Computers outpacing humans in personality judgment presents significant opportunities and challenges in the areas of psychological assessment, marketing, and privacy.

These AI language processing innovations range from smart alphabet toys that are designed to language-teaching apps that focus on multiple dialects. A winning example includes Marbotic's'Smart Letters' toy that pairs classic wooden letters with an iPad app. Once paired together with a digital interface, the block letters create an augmented reality play experience that is also educational. Other standouts in this realm include a myriad of intuitive chatbots -- from examples that detect users' moods by decoding their mobile messaging history to others that help users manage their money more seamlessly. Additional AI language processing innovations include talkative smartphone toys and emotional intelligence robots that are able to understand the words and phrases of users -- so much so that they can answer their questions or engage in full-on conversations.

Eck told the festival's music-savvy attendees about his team's new ideas about how to teach computers to help musicians write music--generate harmonies, create transitions in a song, and elaborate on a recurring theme. The format has come a long way since 1990s Geocities pages and games like Doom, thanks to better computing power, digital samplers, and recent movements like "Black MIDI," in which MIDI musicians like Lee saturate a digital musical score with so many notes, typically in the thousands or millions, that little white peers through. The state of the art in training computers is deep learning, artificial learning that uses neural networks, a method of storing information that loosely approximates the information processing of the brain and nervous system. In computer vision, where deep learning has become the standard machine learning technique, scientists know how a computer learns through a neural network when the computer knows what shapes to look for in an image.

"The holy grail of a chatbot or virtual assistant is to help you adjust your behavior, telling you when to save more or spend in order to reach certain goals," said Lex Sokolin, global director of fintech research for Autonomous Research. Could UBS clients soon be serviced by voice-controlled AI? Maybe not yet, but a new pilot program between the bank and Amazon's Alexa service is testing the frontiers of both science fiction and wealth management. UBS' partnership with Amazon will enable clients and non-clients of the bank to get answers to financial and economic questions, ranging from what is inflation to how the U.S. economy is faring. It's the latest example of how wealth management firms are experimenting with new technologies such as data analytics and artificial intelligence to expand or reinvent the business.

Artificial intelligence (AI) technology is the next evolutionary leap to go from sci-fi imagination to a transformative reality with the potential to enhance our lives in unprecedented ways. Like the internet, the only way we are going to harness the capabilities and tap the possibilities of AI technologies is by crafting smart policies that allow these innovations to flourish while guarding against unwanted potential impacts. ITI understands that the tech industry has a responsibility to engage and educate lawmakers around the globe and the public, which is why we launched ITI Decodes. This series quickly breaks down and explains complex issues such as encryption, the internet of things, global data flows, global value chains, and artificial intelligence (AI). If you don't know the definition of AI, you're not alone.

Nine times out of ten, when you hear about deep learning breaking a new technological barrier, Convolutional Neural Networks are involved. Also called CNNs or ConvNets, these are the workhorse of the deep neural network field. They have learned to sort images into categories even better than humans in some cases. If there's one method out there that justifies the hype, it is CNNs. What's especially cool about them is that they are easy to understand, at least when you break them down into their basic parts. I'll walk you through it.