This article was posted by Xiu-Shen Wei. Xiu-Shen Wei is a 2nd-year Ph.D. candidate of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group. Deep Neural Networks, especially Convolutional Neural Networks (CNN), allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-arts in visual object recognition, object detection, text recognition and many other domains such as drug discovery and genomics. In addition, many solid papers have been published in this topic, and some high quality open source CNN software packages have been made available.

A recent Gallup poll found that 37 percent of the U.S. workforce has telecommuted--a fourfold increase over 1995. Once a fairy tale perk that was likely unachievable in most positions, telecommuting is quickly becoming the norm for companies, both big and small. And with the growth of what has been dubbed the "Gig Economy", or the practice of companies hiring independent contract workers for various projects instead of having a team of full-time salaried employees, there is no doubt that there will be a rise in the use of home offices as well. And as this remote work revolution transitions our cubes into homier workspaces, technology is constantly evolving to keep up with changing needs of remote workers. From artificial intelligence assistants to virtual reality conferencing and web-based organization applications, the introduction of new types of technology will change how we work from home.

Artificial intelligence (AI) is on a roll. It's happening through developments spurred on by 800 pound tech gorillas like Amazon and IBM, and big brands in transportation like Uber and Jaguar. Before we ponder that further, if you haven't had the time to keep up here are seven recent notches on the artificial intelligence belt…er, chipset. The future of artificial intelligence certainly seems rosy. Peter Norvig, research director at Google, agrees.

The growing popularity of messaging platforms, paired with rapid advances in A.I., is driving a new era of meaningful interaction with chabots. Just as browsers like Chrome and Firefox provide access to every web page, messaging platforms have begun to mirror that functionality to access branded conversational bots. A massive number of people -- 1.4 billion monthly users -- are now on messaging platforms and are spending an average of 23 minutes and 23 seconds a day on chat. Together, the top four messaging platforms -- Facebook Messenger, WhatsApp, WeChat, and Viber -- have more registered users, higher retention, and higher engagement than the top four social networks. With 80 percent of U.S. teens on chat platforms, Gen Z is at the center of a major disruption in the evolving ecosystem of communication innovation.

"We are in a new era, one in which we are building systems that can't be grasped in their totality or held in the mind of a single person." George Hotz has a gift for bending complex technologies in the direction of his own desire. As a teenage nobody, Hotz earned notoriety for being the first hacker to unlock Apple's iPhone -- much to the annoyance of AT&T, who had exclusive-ish networking rights at the time. Several years later, he became the focus of a Sony lawsuit for releasing hacked Playstation 3 software to the world. And last December, he discussed his latest project with Bloomberg's Ashlee Vance -- a patched together home-made driverless car. When asked what compels him to crack open these complicated technologies Hotz said, "I want power.

ITEM: A researcher at Telenor Group Research says he has developed a machine learning algorithm that uses mobile phone call records to determine literacy rates in developing markets by location. According to MIT Technology Review, researcher Pål Sundsøy says he started with a regular survey – conducted by a professional agency for a mobile operator – covering 76,000 mobile users in Asia that collected the user's mobile number and asked them if they could read. Sundsøy matched that data against the mobile operator's call data records, which enabled him to work out where each user was, who they called, for how long, etc. Then he crunched 75% of the correlated data to detect patterns with illiterate users, and used the remaining 25% to see if those patterns could identify illiterate people and areas where there is a higher proportion of illiterate people. All in all, he says, his machine learning algorithm can spot illiterate individuals with surprising accuracy.

It has been seen that Microsoft is trying to push for development of chatbot or bots. On Friday, it was observed that the company had announced new features such as group chat functionality, visual cards, and for its Skype Bot Platform they announced third-party service sign-in. It was also announced by the company, that to create a single entity called Microsoft Bot Framework V3 they had merged Skype Bot developer tools and Microsoft Bot Framework. Microsoft's latest update states that Skype Bot Platform has around 30,000 developers, which was announced back in March. Apart from presenting users with visual cards such as images and carousels, bots for group conversations can be made by developers with the help of the update to the Skype Bot Platform.

String just means string and number means number," according to Rosenwasser. Synopsys releases Coverity 8.5 Version 8.5 of Coverity, the static analysis tool of Synopsys, has changes and updates to the security analysis and reporting capabilities of the product. Python Serverless Microframework for AWS The AWS Developer Tools team announced the preview of the Python Serverless Microframework for AWS, which makes it possible to run and create API applications without managing any servers. Future changes to Minikube include native hypervisor support for OS X and Windows, improved support for Kubernetes features, and configurable versions of Kubernetes.

Microsoft has rolled out the beta release of TypeScript 2.0. Developers can get it after downloading TypeScript 2.0 Beta for Visual Studio 2015, which will require VS 2015 Update 3. This release includes new features like a workflow for getting TypeScript type definition files. "Null and undefined are two of the most common sources of bugs in JavaScript," and before this release, null and undefined were in the domain of every type. "If you had a function that took a string, you couldn't be sure from the type alone of whether you actually had a string--you might actually have null."

The working-process to accomplish this Forbus explains in the following way: "Given a new situation, the machine will try to retrieve one of its prior stories, looking for analogous sacred values, and decide accordingly."