A group of researchers from Nanyang Technological University, Singapore, have created a novel solution for large-scale Android malware detection. It's called DroidOL, and it's an adaptive and scalable malware detection framework based on online learning. "DroidOL's achieves superior accuracy through extracting high quality features from inter-procedural control-flow graphs (ICFGs) of apps, which are known to be robust against evasion and obfuscation techniques adopted by malware," the researchers explained. They used the Weisfeiler-Lehman (WL) graph kernel to extract semantic features from ICFGs, and finally, online learning to distinguish between benign and malicious apps. They attribute much of the success of their technique to the use of a scalable online learning classifier instead of batch-learning classifiers (which are not).

The crash that killed a Tesla driver in Florida when his car struck a tractor-trailer may mark the world's first fatal accident in which a computer was at the wheel. The crash occurred when the truck turned left across the 2015 Model S Tesla's path and the car's autopilot failed to slow down. The deadly accident, which took the life of 40-year-old Joshua David Brown of Ohio and is the subject of a federal safety investigation that Tesla disclosed Thursday, is bound to raise a lot of questions about vehicle automation and the future of car travel. It may be tempting to describe this as a driverless car crash, but don't give in. There's a big difference between assisted driving technologies and full automation, and what we have here is the former. We'll get into that below, but let's start first with the nuts and bolts of the autopilot technology at the center of the crash.

Once upon a time, creating a website was a complex, long and expensive process – one that only a small percentage of people and businesses could afford. Three entrepreneurs were determined to change that. They founded Wix with a clear goal: make it easy for anyone to create a stunning online presence, to build their brand and their business. Fast forward 10 years and over 86 million Wix users – and the goal hasn't changed. Today, we're proud to announce our biggest innovation to date.

Japan is one of the world's most advanced countries in the field of artificial intelligence and robot industries. At the Group of Seven summit Japan hosted in May, world leaders looked amused and fascinated as they watched a robot performing at the International Media Center. At the same time, because of the technological advances and advent of robots, the leaders are concerned that many people in their countries will lose their jobs and cry out for assistance from governments. This kind of downside to innovation has always been a part of modernization. Innovation brings fundamental change, but the impact of AI will be on a far larger scale than ever before. The most visible sector in which robots are bringing considerable change in Japan is the carmaker industry.

BMW, Intel and computer vision firm Mobileye have signed a deal to develop autonomous vehicles. The three firms will collaborate on the systems needed to make cars that can navigate without any help from a human driver. The vehicles will be capable of driving safely along major roads as well as in suburban and inner city areas. BMW said it hoped the collaboration would mean it could put robot cars into production by 2021. The research partnership was announced on the day when US officials begin an investigation into a fatal car crash involving a Tesla Model S, to which self-driving technology could have contributed.

Cognovi Labs is a new analytics startup that relies on Twitris, a Wright State University-developed tool that claims to be able to take a sample of social media chatter about a specific topic and deduce real-time, large-scale, automated sentiment about the specific topic they are researching. As a real-world example of the tool's capability, the Cognovi Labs research team -- led by Wright State University researcher (and Cognovi Labs inventor) Dr. Amit Sheth -- analyzed Twitter chatter leading up to the Great Britain/European Union Membership Referendum (Brexit) on June 23. The team was able to predict some six hours before the news broke that the polls leaning toward the "remain" camp were incorrect. This was predicted by running Twitter chatter through the Cognovi Labs Twitris tool. The machine learning tool leverages Cognovi Labs' semantic intellectual property to be able to automate and extract aggregate meaning from social media chatter (including slang) in new, more precise ways.

Picture the scenario: you've been asked to prepare an analysis on whether you have the best people in the right roles in your company and identify where there may be knowledge gaps within the organisation. If your company has offices in New York, London, Berlin and Singapore, that's a huge HR challenge. But what if an artificial intelligence tool can produce in minutes a detailed "knowledge map" based on analysis of employee skills and interests to pinpoint gaps where new hires are needed to fill those holes. British companies are now being offered such "brain technology". Computer software, called Starmind, uses machine learning to understand queries – even anonymously – then source answers from previous staff conversations on a subject or track down experts within the company who are able to help.

There's been a lot of chatter about artificial intelligence recently. Sometimes they're beating humans at board games or composing music, but they are all still very ... robotic. But in Vermont, the Terasem Movement Foundation is pioneering a new kind of AI geared to be almost completely human, programmed with users memories, thoughts and feelings. To test out the software, the organization created a sentient chatbot, Bina48, a human-robot hybrid. Bruce Duncan is the managing director at the Terasem Movement Foundation.

Ask Apple's Siri digital assistant if she's evil, and she'll respond curtly, "Not really." Repeat a famous line from the movie "2001: A Space Odyssey," in which a computer on a spaceship kills nearly all the human crew, and Siri groans. And who can blame her? We humans have a morbid fascination with machines rising up to wipe us out or to enslave us as cocooned, flesh-and-blood battery packs. You can see that vision of the future streaming over Netflix whenever you want.

WASHINGTON/SAN FRANCISCO – Tesla Motors Inc. says the self-driving feature suspected of being involved in a fatal crash on May 7 is experimental, yet it's been installed on all 70,000 of its cars since October 2014. For groups that have lobbied for stronger safety rules, that's precisely what's wrong with U.S. regulators' increasingly anything-goes approach. "Allowing automakers to do their own testing, with no specific guidelines, means consumers are going to be the guinea pigs in this experiment," said Jackie Gillan, president for Advocates for Highway and Auto Safety, a longtime Washington consumer lobbyist who has helped shape numerous auto-technology mandates. "This is going to happen again and again and again." Tesla's use of a technology still in development, while common in its Silicon Valley home, contrasts with the cautious method of General Motors Co. and other automakers that have restricted their semi-autonomous cars to test tracks and professional drivers.