But by effectively automating part of the job of the observer by using cameras to record what creatures are caught and sophisticated software to classify them by species, regulators would be able to get a fuller picture of legal harvests and detect unlawful operations. Just as automation and machine learning have given internet companies detailed records and predictions of how users behave online, they can potentially enable scientists and government agencies to build similarly detailed models of the world's fisheries. "Today it's estimated that what's called illegal, unreported, and unregulated fishing costs the region between a half billion dollars and $1.5 billion a year," Zimring says. And even low rates of accidental capture and killing of important predators such as sharks can have significant impacts on aquatic ecosystems, he says. "We really need to understand, from a kind of science perspective, when at-risk species like sharks and turtles are being caught, and what really happens to them," he says.

Volvo's self-driving car is unable to detect kangaroos because hopping confounds its systems, the Swedish carmaker says. The company's "Large Animal Detection system" can identify and avoid deer, elk and caribou, but early testing in Australia shows it cannot adjust to the kangaroo's unique method of movement. The managing director of Volvo Australia, Kevin McCann, said the discovery was part of the development and testing of driverless technology, and wouldn't pose problems by the time Volvo's driverless cars would be available in 2020. "Any company that would be working on the autonomous car concept would be having to do the same developmental work," he said. "We brought our engineers into Australia to begin the exercise of gathering the data of how the animals can move and behave so the computers can understand it more."

A leading futurist is urging Kiwi companies to prepare for a tech-transformed future where machines have replaced many of today's jobs. This might mean a robot tractor repairing a fence line, a robotic plumber fixing a toilet, artificial intelligence scanning and approving a contract, a holographic projector can let you visit any place in the world - or even a drone delivering a coffee made by an automatic barista. The call comes as a new report, launched today to mark the start of Techweek NZ, has revealed nearly half of all surveyed small and medium businesses in New Zealand expect to see "significant" disruption from technology within the next decade. Yet the findings of the MYOB Future of Business Report: The Age of Change showed two thirds were adopting a "wait-and-see approach" to change. The company's chief technical advisor Simon Raik-Allen said although businesses were expecting tech-driven change to come quickly, it was less clear how well prepared they'll be for it.

The recent surge in interest in ethics in artificial intelligence may leave many educators wondering how to address moral, ethical, and philosophical issues in their AI courses. As instructors we want to develop curriculum that not only prepares students to be artificial intelligence practitioners, but also to understand the moral, ethical, and philosophical impacts that artificial intelligence will have on society. In this article we provide practical case studies and links to resources for use by AI educators. We also provide concrete suggestions on how to integrate AI ethics into a general artificial intelligence course and how to teach a stand-alone artificial intelligence ethics course.

The UK government has been warned of the "serious consequences" that will be suffered if it insists on introducing highly controversial new technology regulations. Theresa May wants to weaken encryption and increase censorship, and is planning to forcing internet companies to let spies and agencies read everyone's private communications. UK government ministers this week discussed surveillance proposals with representatives from the US, New Zealand, Canada, and Australia at a Five Eyes meeting in Ottawa. However, a coalition of privacy advocates has told the government that its plans will have disastrous consequences. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.

Robo-advisers are forecast to take at least 15% market share of the Asian wealth management industry in the next seven years. Platform providers highlight the innovations that are driving the industry forward and debunk common myths about the financial technology. Robo-advisory platforms have grown exponentially in Asia in the past two years. Innovations have resulted in enhanced and more sophisticated offerings for investors. This will only propel the growth of the industry. Bhaskar Prabhakara, co-founder and CEO of Singapore-based robo-advisory platform WeInvest, expects robo-advisers to take at least 15% market share of the Asian wealth management industry by 2025. "There is a strong case for this. We went to many countries to talk to regulators and look for partners and everywhere we went, people acknowledged the fact that the robo-advisory wave -- a digital wealth tsunami -- is coming," he says.

Volvo have discovered a speed bump during the testing of driverless cars in Australia after kangaroo's threw off the vehicle's animal detection sensors. During a drive in Canberra, Australia, 18-months-ago the company realised the driverless car software struggled to detect kangaroos due to their hopping motion. Driverless cars are designed to detect animals appearing suddenly in front of it using sensors to determine a reference point. Volvo's animal sensor software struggled to pick up the hopping kangaroo But, the technical manager of Vovlo Australia David Picket said kangaroos have been proven to confuse the detection sensors because of the hopping motion, according to the ABC. 'We've noticed with the kangaroo being in mid-flight ... when it's in the air it actually looks like it's further away, then it lands and it looks closer,' the technical manager of Volvo Australia said.

The Robot Academy is a new learning resource from Professor Peter Corke and the Queensland University of Technology (QUT), the team behind the award-winning Introduction to Robotics and Robotic Vision courses. There are over 200 lessons available, all for free. The lessons were created in 2015 for the Introduction to Robotics and Robotic Vision courses. We describe our approach to creating the original courses in the article, An Innovative Educational Change: Massive Open Online Courses in Robotics and Robotic Vision. The courses were designed for university undergraduate students but many lessons are suitable for anybody, as you can easily see the difficulty rating for each lesson.

As a child, Kay Tye was immersed in a life of science. "I grew up in my mom's lab," she says. At the age of five or six, she earned 25 cents a box for "restocking" bulk-ordered pipette tips into boxes for sterilization as her mother, an acclaimed biochemist at Cornell University, probed the genetics of yeast. Today, Tye runs her own neuroscience lab at MIT. Under large black lights reminiscent of a fashion shoot, she and her team at the Picower Institute for Learning and Memory can observe how mice behave when particular brain circuits are turned on or off.

It is predicted that within three years 100 percent of all effective IoT efforts will be supported by cognitive or artificial intelligence (AI) capabilities, a landmark New Zealand IoT Alliance study says. For an IoT deployment to be really effective, New Zealand organisations need applications such as machine learning and cognitive systems to obtain insight and action from data, the report says. The 92-page report was commissioned by the New Zealand IoT Alliance, an independent member funded group of tech firms, major corporates, startups, universities and government agencies. It says the potential net benefit to New Zealand could be worth as much as $3.3 billion over 10 years from just nine applications of IoT alone. Alliance chair and NZTech chief executive Graeme Muller says New Zealand can be more effective and efficient, by understanding and acting on a raft of improvements from issues as simple as water system improvements and intelligent street lighting through to more complex challenges such as driverless vehicles and better farm management.