Machines equipped with artificial intelligence are ever creeping into the workforce, and for humans, this could soon mean job displacement and a'universal basic income,' according to Elon Musk. The billionaire explained that our options may be limited in the future as automation becomes the norm, and this could even leave people with more time to enjoy their lives. Musk said humans will eventually need to achieve symbiosis with'digital super-intelligence' in order to cope with the advancing world – but, he warns doing this might be the toughest challenge of all. Machines equipped with artificial intelligence are ever creeping into the workforce, and for humans, this could soon mean job displacement and a'universal basic income,' according to Elon Musk (pictured) This past summer, when asked at the Code Conference in southern California if the answer to the question of whether we are in a simulated computer game was'yes', Elon Musk said the answer is'probably'. Musk believes that computer game technology, particularly virtual reality, is already approaching a point that it is indistinguishable from reality.

The development of Internet of Things (IoT) and artificial intelligence (AI) technologies raises the issue on whether they should also act ethically. On 26 October 2016, I attended the IoT Solutions World Congress, one of the largest events in the world on the Internet of Things, and I had the pleasure of being part of a panel on "Ethical Uses of Data", together with Edy Liongosari from Accenture, Prith Banerjee from Schneider Electric, Derek O'Halloran from the World Economic Forum, Sven Schrecker from Intel and David Blaszkowsky from the Financial Semantics Collaborative. In a few years, we will now own almost anything. Our car, our house and whatever we use during the course of the day will become "as a service". In this context, the sole asset that will belong to individuals is their "digital identity".

As shown in our artificial intelligence heatmap, healthcare is the hottest area of investment within AI. Investors have poured in $1.5B across nearly 190 deals into healthcare-focused AI startups in the last 5 years. To understand where the deals are concentrated within healthcare-focused AI companies, we further drilled down to understand which categories of medical care and life sciences were seeing the most funding for AI-focused companies. Note: the map above only includes equity funding rounds.

Google's Deepmind AI has already learned how to best humans at Go, but now Deepmind's resources will be pointed at an entirely different game: Starcraft II. Blizzard just announced at Blizzcon that it is partnering with Google to open up Starcraft II as a research platform for those building AI programmers. "Blizzard will release an API early next year that will allow researchers and hobbyists around the world to build and train their own AI agents to play Starcraft II," said Oriol Vinyals, a research scientist at Google DeepMind. Rather than Google building an unstoppable Starcraft II machine on its own, Blizzard wants to give anyone the change to build their own AI bot using the upcoming API. Essentially, this framework serves as a testing ground for building and training new AIs -- it could lead to better AI in Starcraft II itself, or we could see better AI player coaches, or maybe just an unbeatable AI bot. "There's still a long way to go, but maybe we'll even see an agent take on the BlizzCon champion in a show match," Vinyals said.

Fraud is a big problem in the cellular networking market, and machine learning is one potential solution to the problem. Mathematics-based cyberdefence firm claims Antigena can teach itself to fight off new malicious intrusions -- without human involvement. Fraudulent usage of cellular networks costs the industry an estimated $38 billion a year, according to the 2015 Global Fraud Loss Survey by the Communications Fraud Control Association (CFCA), an international organization that promotes revenue assurance, loss prevention, and fraud control in the industry. The CFCA says fraudsters use methods including PBX hacking, subscription fraud, dealer fraud, service abuse, and account takeover to steal from service providers. Current fraud detection approaches in the industry rely on static rules with pre-set volume or frequency thresholds, said Ole J. Mengshoel, associate research professor in the Department of Electrical and Computer Engineering and director of the Intelligent and High-Performing Systems Lab at Carnegie Mellon University.

Google's DeepMind AI unit, which earlier this year achieved a breakthrough in computer intelligence by creating software that beat the world's best human player at the strategy game Go, is turning its attention to the sci-fi video game Starcraft II. The company said it had reached a deal with Blizzard Entertainment Inc., the Irvine, California-based division of Activision Blizzard, which makes the Starcraft game series, to create an interface to let artificial intelligence researchers connect machine-learning software to the game. London-based DeepMind, which Google purchased in 2014, has not said it has created software that can play Starcraft expertly -- at least not yet. "We're still a long way from being able to challenge a professional human player," DeepMind research scientist Oriol Vinyals said in a blog post Friday. But the company's announcement shows it's looking seriously at Starcraft as a candidate for a breakthrough in machine intelligence.

Artificial intelligence ("AI") or cognitive computing involves the use of computer program code to control machines to mimic cognitive functions, such as learning, classification, and problem solving. AI is a technical field of computer science and includes machine learning and natural language processing. Machine learning is the ability to learn without being explicitly programmed. Machine learning uses pattern recognition and computational statistics to process a set of training data. The data can be represented by various graph and network structures.

Google is slowly becoming (if it is not already) the go-to place for everyone who needs "smart" solutions to problems. However, researchers at Google's DeepMind may have found a way to make their AI smarter. This lets their artificial intelligence system recognize objects from a single example. Google DeepMind is the U.K.-based subsidiary of Alphabet, the parent company of Google. This is Google's not-so-secret lab for AI projects that range from translation and map guidance to machine learning.

Artificial intelligence is creeping into our daily lives in unexpected ways. It is not just transforming online services with innovations such as Apple's Siri voice recognition app, which will send emails when you instruct it to, or Microsoft's Skype translation services, which enable you to communicate online with people whose languages you do not speak. Wider applications of artificial intelligence, such as image and pattern recognition (classifying data or objects based on common features), natural language processing (how computers understand and respond to human speech) and machine learning (when software learns something without being programmed to do so) will soon be featuring in many products and services. Pest control In recent years, pest control company Rentokil Initial has been experimenting with rodent traps equipped with sensors and WiFi. These send data to a command centre, which the company has built with partners Google and PA Consulting.

It's no secret that Elon Musk, the modern day mad scientist behind SpaceX and Tesla, is a bit wary about the future of artificial intelligence. He recently took to Twitter to weigh in on the fairly widespread internet outage that occurred earlier this month, thanks to a hack on Dyn, a company that monitors traffic for a lot of the major websites. Only a matter of time before advanced AI is used to do this. Internet is particularly susceptible to a gradient descent algo. This isn't the first time that Musk has had some dark prognostications about how AI could go awry.