In this paper, we consider several compression techniques for the language modeling problem based on recurrent neural networks (RNNs). It is known that conventional RNNs, e.g, LSTM-based networks in language modeling, are characterized with either high space complexity or substantial inference time. This problem is especially crucial for mobile applications, in which the constant interaction with the remote server is inappropriate. By using the Penn Treebank (PTB) dataset we compare pruning, quantization, low-rank factorization, tensor train decomposition for LSTM networks in terms of model size and suitability for fast inference.

This guide is intended to be accessible to anyone. Basic concepts in probability, statistics, programming, linear algebra, and calculus will be discussed, but it isn't necessary to have prior knowledge of them to gain value from this series. Artificial intelligence will shape our future more powerfully than any other innovation this century. Anyone who does not understand it will soon find themselves feeling left behind, waking up in a world full of technology that feels more and more like magic. The rate of acceleration is already astounding.

The startup behind the Prisma style transfer app is shifting focus onto the b2b space, building tools for developers that draw on its expertise using neural networks and deep learning technology to power visual effects on mobile devices. It's launched a new website, Prismalabs.ai, detailing this new offering. Initially, say Prisma's co-founders, they'll be offering an SDK for developers wanting to add effects like style transfer and selfie lenses to their own apps -- likely launching an API mid next week. Then, in the "next month or so", they also plan to offer another service for developers wanting help to port their code to mobile. This was, after all, how the co-founders originally came up with the idea for the Prisma app -- having seen a style transfer effect working (slowly) on a desktop computer and realized how much potential it would have if it could be made to work in near real-time on mobile.

Chinese financial giant Ping An Insurance (Group) Co will spend more than 7.77 billion yuan (S$1.6 billion) on technology research and development this year, and artificial intelligence will be the focus of that R&D, according to a senior executive of the company. "We want to build more platforms in finance and healthcare industries this year and in the near future," said Ericson Chan, CEO of Ping An Technology, a subsidiary and technology arm of Ping An Group. "We will continue to focus on providing technology services for the group as well as share more with the whole society." Established in 2008, Ping An Technology has about 4,000 technology workers and has paid attention to R&D in cognition, robot advisory and cloud businesses. Their applications are mainly used in finance and healthcare industries; up to now, there have been more than.

From his perch as editor in chief, he watched as the nascent internet took off, fulfilling his prediction that the world was about to be swept by a digital "Bengali typhoon." Among other things, that epochal storm spawned a dotcom wave that was cresting in 1998. Now, two decades later, Rossetto has written a novel that captures the optimism, greed, fervor, and madness of that era. Set in a fictional San Francisco, Change Is Good: A Story of the Heroic Era of the Internet, follows the intertwined adventures of a startup CEO, a WIRED reporter, a code-writing true believer, and many more instantly iconic characters ripped from the mists of the first dotcom boom. What follows is a chapter from Rossetto's novel, which takes place during a wild party thrown by the fictional WIRED magazine. Carl Hess stands in the line flowing into a looming warehouse off Third Street in the Mission Bay wasteland that was once the old Union Pacific yards.

AI will rise up and kill us all. Didn't Facebook have to shut down their latest monstrous experiment because it went rogue and developed its own secret language? For all we know, Skynet's factories are cranking out an army of Terminators already! The only problem is, it's all nonsense. It's an "existential threat worse than North Korea," he warns. Last I checked they have nukes and a little madman in power and super-AI is still confined to the pages of cyberpunk novels, so I'm not buying it. Look, the guy is a lot smarter than me and I think his batteries, cars and solar roof tiles will change the world but he's spent a little too much time watching 2001: A Space Odyssey.

TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. It will not only help you discover what TensorFlow is and how to use it, but will also show you the unbelievable things that can be done in machine learning with the help of examples/real-world use cases. We start off with the basic installation of Tensorflow, moving on to covering the unique features of the library such as Data Flow Graphs, training, and visualization of performance with TensorBoard--all within an example-rich context using problems from multiple sources.. The focus is on introducing new concepts through problems that are coded and solved over the course of each section.

Everyone's scared to take a bite from the fruit of knowledge. While earth can no longer be referred to as the Garden of Eden, humans, from time unknown, have been hesitant to embrace new knowledge and technology at once. One step at a time, has always been our motto. Be it films, books, music or theatre, our over-active imaginations have always been haunted by a dystopian future of the society. An unseen neural net-based "conscious group mind" and general Artificial Intelligence that is willing to do everything in its power to make sure it survives?

Nielsen announced that it has acquired vBrand, an Israel-based technology startup that has developed a machine learning-enabled platform to measure brand exposure and impact in sports programming. Financial terms were not disclosed. The acquisition of vBrand's advanced technology supercharges Nielsen Sports' already industry-leading sponsorship measurement capabilities and methodologies, considered among the most robust in sports. Specifically, the vBrand technology could allow brands and rights holders to monitor and track sponsorship visibility within hours of an event and make adjustments to digital signage and social campaigns within a tournament, competition weekend or season. Sports marketing is increasingly important for brands looking to reach consumers in a competitive and fragmented marketplace.

Anamind helps organizations build business planning and forecasting capability. With simplicity at the core of our approach we offer a world class planning system - PLANAMIND, process consulting services, and training for business planning. This course has been specifically designed by us to help planning professionals as well as aspirants of this function worldwide, to understand and build their skills in business planning. The course contains both quantitative and qualitative aspects of planning. This course is business oriented and not purely academic in nature.