Today is the slowest business will ever run. In today's world, it is the small companies that beat the large enterprises with speed and agility, according to Valerie Blatt -- Global Vice President SAP. Companies such as Spotify are forcing incumbents such as Apple to change their music business. Therefore, for the organisation of tomorrow to remain relevant, they need faster, better and more intelligence. Last month, I was invited to join SAP Ariba Live in Barcelona.

Victoria's Stonnington Libraries together with Civica have developed an artificial intelligence-based proof-of-concept solution to remove the manual work involved with cataloguing and searching through library archive databases. Civica developed the prototype solution using Azure Blob Storage to store the files, Azure Cognitive Services to create meta information of each file, and Microsoft AI to create a searchable catalogue. Initially, digital images such as photos, maps, scans, and sketches, as well as PDF-format text style documents, including minutes of meetings, flyers, newspapers, articles, and community group newsletters have been fed into the prototype digital archive. Prior to building this platform for the last 20 years, the library had been manually cataloguing its archive database. "You cannot underestimate the value of local community information – but creating the access to it has always presented challenges as each item has to be manually indexed, described and categorised," Natasha Tsui-Po, Stonnington Library senior team leader of System and Resources, Library, and Information Services.

Fox News Flash top headlines for September 1 are here. Check out what's clicking on Foxnews.com As Americans celebrate Labor Day 2019, robots are stealing their jobs, as are immigrants, as are cheap imports from China. The first puzzle is: if all of these nefarious forces of free markets are stealing jobs, how is it that there are more Americans employed than ever before? Today, there are over 151 million workers on U.S. payrolls.

HONG KONG – Chinese face-swap app Zao rocketed to the top of app store charts over the weekend, but user delight at the prospect of becoming instant superstars quickly turned sour as privacy implications began to sink in. Launched recently, Zao is currently topping the free download chart on China's iOS store. Its popularity has also pushed another face-swap app, Yanji, to fifth place on the list. Behind Zao is a company fully owned by Chinese hookup and live-streaming service Momo Inc. Users of the app upload a photo of themselves to drop their likeness into popular scenes from hundreds of movies or TV shows. It's a chance to be the star and swap places with the likes of Marilyn Monroe, Leonardo DiCaprio or Sheldon Cooper from "The Big Bang Theory" in a matter of moments.

Disruptive technologies and Artificial Intelligence (AI) are making their way into classrooms as humanoid robots to teach students and interact with them as teachers do, at a school in Bengaluru. Though the 5 foot 7 inch robots, dressed in formal female attire, do not replace real teachers, they complement them in teaching lessons in the subjects and reply to FAQs (frequently asked questions) from students. "We have programmed the interactive robots to answer questions students frequently ask on the subjects and related to them. With AI in play, the robots are able to respond to questions and doubts of our wards after a lesson is taught," said Mr Rao. The private international day-cum-boarding school has 25 co-ed students in each of the four sections for Classes 7-9.

Abstract: Attempts from different disciplines to provide a fundamental understanding of deep learning have advanced rapidly in recent years, yet a unified framework remains relatively limited. In this article, we provide one possible way to align existing branches of deep learning theory through the lens of dynamical system and optimal control. By viewing deep neural networks as discrete-time nonlinear dynamical systems, we can analyze how information propagates through layers using mean field theory. When optimization algorithms are further recast as controllers, the ultimate goal of training processes can be formulated as an optimal control problem. In addition, we can reveal convergence and generalization properties by studying the stochastic dynamics of optimization algorithms.

As more and more people shift their movie watching online, competition between movie viewing websites are getting more and more intense. Therefore, it has become incredibly important to accurately predict a given user's watching list to maximize the chances of keeping the user on the platform. Recent studies have suggested that the novelty-seeking propensity of users can impact their viewing behavior. In this paper, we aim to accurately model and describe this novelty-seeking trait across many users and timestamps driven by data, taking into consideration user forgetfulness. Compared to previous studies, we propose a more robust measure for novelty. Our model, termed Deep Forgetful Novelty-Seeking Model (DFNSM), leverages demographic information about users, genre information about movies, and novelty-seeking traits to predict the most likely next actions of a user. To evaluate the performance of our model, we conducted extensive experiments on a large movie rating dataset. The results reveal that DFNSM is very effective for movie recommendation.

The concepts of hybrid threat and hybrid warfare are, presently, key concepts within strategic studies1 and intelligence studies2, with a core relevance in the new defense and security context that was enabled by the twenty-first century's Fourth Industrial Revolution, driven by the synergization of cyberspace and artificial intelligence (AI), fueled by the accelerated and disruptive exponential expansion of machine learning (ML) [1, 2, 3]. Cyber operations, presently, constitute a key determinant component of hybrid strategies and tactics that configure the profile of hybrid threats and hybrid warfare [1]. Hybrid strategies, in the twenty-first century, involve the use of Information and Communication Technology (ICT) and AI tools to combine conventional and unconventional operations, amplifying the impact of these operations [1, 2, 3]. In the current context of hybrid operations, there are, presently, three major dimensions of hybrid strategic power, understood as the ability to achieve one's strategic goals through hybrid operations, and these are: The first type of power is enabled by social networks and the ability to use cyberspace for propaganda, disinformation, and viral campaigns in what constitutes a form of information-based warfare as well as for implementing cyberattacks that can disrupt different sectors as well as stealing (and possibly leaking) of critical data. The second type of power involves the use of AI, in particular ML tools, as support tools for different cyber operations that may, in turn, support hybrid strategies.

Disclaimer: I would like it to be made very clear that I am absolutely 100% open to the idea that I am wrong about anything in this post. I don't only accept but explicitly request arguments that could convince me I am wrong on any of these issues. If you think I am wrong about anything here, and have an argument that might convince me, please get in touch and present your argument. I am happy to say "oops" and retract any opinions presented here and change my course of action. As the saying goes: "When the facts change, I change my mind. I plan on releasing it on the 1st of July. Before criticizing my decision to do so, please read my arguments below. If you still think I'm wrong, contact me on Twitter @NPCollapse or by email (thecurioushacker@outlook.com) and convince me. For code and technical details, see this post. UPDATE: My mind has been changed, and I plan on not releasing. See my update post here that explains my reasoning. UPDATE 2: This post is now part 1 in a series of ...