Industries from health care to the legal sector face being being disrupted by the latest advances in robotics and artificial intelligence (AI), an expert warns, prompting a renewed warning in the wake of Donald Trump's US election victory. Jon Williams, an analyst with professional services firm PwC, said governments in Australia need to have a serious debate about how to prepare for huge changes in the workforce. "I think over the next couple of years, governments have to develop policies that allow them to support the development of new jobs and new industries or we'll see what we saw in the recent US election, where there's a huge disaffected group whose job in a factory disappeared and they haven't been able to replace it," Mr Williams told the ABC. "The next five to 10 years will see jobs in the professions, in medicine, in the legal profession, in professional services starting to be replaced by computers and robots and machine learning." Seven months after the biggest robotic drug dispensary in the southern hemisphere went live at Perth's Fiona Stanley Hospital, pharmacist Ken Tam is keen to talk up the benefits.

His dire warning pertains to a mixture of machine-learning AI and rather "vulnerable" systems that lay the foundation of the internet. Musk said that the future of cyber warfare may not be waged with humans and our weapons, but with AI systems. Just recently, an unknown group of hackers launched a massive "distributed denial of service" (DDoS) attack that took down part of the internet in the West. Analysis of the incident confirmed that the hackers used a huge "botnet," or a system of computers, that comprised simple internet of things (IoT) devices to overload the systems of Dynamic Network Services (Dyn), a firm that is part of the internet address system. These systems provide DNS services to websites, both big and small, such as Spotify, Netflix, Twitter, and Reddit.

TORONTO/OTTAWA – Officials say a Porter Airlines flight approaching Toronto's island airport took evasive action to avoid a suspected drone, injuring two flight attendants. Julie Leroux of Canada's Transportation Safety Board said the near collision occurred at 7:30 a.m. Leroux says the object involved in the near-miss was likely an unmanned aerial vehicle. Porter spokesman Brad Cicero says two flight attendants sustained minor injuries. They were taken to a hospital and released.

Artificial intelligence will'inevitably' destroy millions of jobs and could bring down governments Automation so far dominates automotive, electrical and electronics fields Report warns shift could take two-thirds of jobs in developing countries And, some may put more focus on low-wage jobs that robots can't yet do And, some may put more focus on low-wage jobs that robots can't yet do The poll among 224 venture capitalists attending the Web summit in Lisbon found 53 percent believed AI would destroy millions of jobs and 93 percent saw governments as unprepared for this. Scientists to unleash killer bacteria to try and... Could a folding phone save Samsung? Firm patents radical... Do YOU count on your fingers? Experts say it could actually... Eyes on the prize: Hundreds queue for Snapchat's Spectacles... Scientists to unleash killer bacteria to try and... Could a folding phone save Samsung? Firm patents radical... Do YOU count on your fingers?

Bill Gates, Elon Musk and Stephen Hawking all have something in common: All three have gone on the record sharing their concerns and fears about artificial intelligence and robotics. While these technologies hold a great deal of promise, and will have a real impact on our future, it's important for us to understand the ramifications they could have for all of us, particularly in terms of labor. My first big concern about AI was recently highlighted in a New York Times piece by John Markoff, who wrote that while AI has great potential for good, it could also be abused by criminals who might use it for their nefarious goals. The growing sophistication of computer criminals can be seen in the evolution of attack tools like the widely used malicious program known as Blackshades, according to Mr. Goodman. The author of the program, a Swedish national, was convicted last year in the United States.

Data is everywhere – masses of it. And it's helping businesses to make better decisions across departments. Marketing can utilise data to discover the effectiveness of email campaigns, finance can analyse past trends to make predictions and projections for the future, and sales can target their follow-up with detailed information on prospective customers. But data is only useful when business tools transform it into valuable information. Data intelligence through algorithms and analytics make business data relatable. The most advanced solutions require enormous amounts of data to be able to offer accurate insight to users.

Ben Dickson is a software engineer and the founder of TechTalks. More posts by this contributor: Why it's so hard to create unbiased artificial intelligence How to facilitate the path to brownfield IoT development Why it's so hard to create unbiased artificial intelligence How to facilitate the path to brownfield IoT development Why it's so hard to create unbiased artificial intelligence Computers and mobile devices running rich operating systems have a plethora of security solutions and encryption protocols that can protect them against the multitude of threats they face as soon as they become connected to the Internet. Such is not the case with IoT. Of the billions of IoT devices presently in use, a considerable percentage are sporting low-end processing power and storage capacity and don't have the capability to become extended with security solutions. Yet they are connected to the Internet, nonetheless, which is an extremely hostile environment.

Mark 2016 as the year that researchers applied artificial intelligence (AI) to the challenges of cybersecurity. If machines can steer our cars and predict our shopping habits, then why not watch over our networks and servers too? IBM in May 2016 announced Watson for Cyber Security, in which the IT behemoth began teaching its pattern-recognition supercomputer to learn the difference between safe and risky data. That could ease the burden on overworked cybersecurity professionals, IBM hopes. Several universities involved with that project began having students train the system within the past several weeks, explained IBM Watson's Jeb Linton, chief security architect.

It will come as no surprise to anyone familiar with the technology world that the rate of cyber attacks, the development of malware, and the exploitation of zero-day flaws makes is very difficult for IT teams and security specialists to keep up with let alone get ahead of cyber threats. Research from Symantec noted that nearly one million new malware threats emerge daily, and while there are many tools to make detecting rogue code an easier process, dealing with such an enormous amount of new threats appears to be an almost insurmountable task even for the best security teams and anti-virus systems. The answer to this, and the potential future of cyber security, looks to be the use of machine learning and artificial intelligence (AI) to apply clever computers and smart software to a problem that leaves humans on the back foot in the fight against hackers. Rather than sift through data harvested from across IT networks, machine learning algorithms can be trained to detect certain malware and threat signatures and proactively sniff out threats, bypassing the need for cyber security experts to disappear into a warren of file paths and scripts to find tell-tale signs of malware. Webroot is one such cyber security company applying machine learning techniques to power its threat intelligence service without requiring resource sapping and time-consuming manual processes.

The Bank of England is using its new fintech accelerator to work with startups on developing proof-of-concepts (POCs) in data analytics, information security and distributed ledgers. Launched in June, the accelerator is designed to boost the BofE's practical experience with fintech, with firms invited to apply to work with it on POCs that address challenges unique to the central bank. Speaking at Web Summit in Lisbon this week, BofE COO Charlotte Hogg invited new applications and gave an update on the project, revealing that the bank is working with BMLL Technologies on a POC that uses a machine learning platform, applied to historic limit order book data, to spot anomalies and facilitate the use of new tools in analytical capabilities. A second POC, with Enforcd, uses an analytic platform designed specifically to share public information on regulatory enforcement action. Meanwhile, two firms - Anomali and ThreatConnect - are working on technologies to collect, correlate, categorise and integrate cyber security intelligence data.