Evans Morris Gachiri, a fifth year Mechatronics Engineering student at Dedan Kimathi University of Technology, Kenya, demonstrates how a robotic coffee machine works: Artificial intelligence is no longer science fiction. London, March 22, 2018: Chatbots, autonomous vehicles, and connected machines in digital factories foreshadow what the future will look like: The widespread implementation of Artificial Intelligence (AI) applications brings many advantages for businesses such as increased efficiencies, fewer repetitive tasks and better customer experiences. Vulnerability to malicious cyber-attacks or technical failure will increase, as will the potential for larger-scale disruptions and extraordinary financial losses as societies and economies become increasingly interconnected. Companies will also face new liability scenarios as responsibility for decision-making shifts from human to machine and manufacturer. In the new report "The Rise of Artificial Intelligence: Future Outlook and Emerging Risks", insurer Allianz Global Corporate & Specialty (AGCS) identifies both the benefits and emerging risk concerns around the growing implementation of AI in society and industry, including in the insurance sector.

Nando de Freitas is a "machine learning professor at Oxford University, a lead research scientist at Google DeepMind, and a Fellow of the Canadian Institute For Advanced Research (CIFAR) in the Neural Computation and Adaptive Perception program." Above, you can watch him teach an Oxford course on Deep Learning, a hot subfield of machine learning and artificial intelligence which creates neural networks--essentially complex algorithms modeled loosely after the human brain--that can recognize patterns and learn to perform tasks. To complement the 16 lectures you can also find lecture slides, practicals, and problems sets on this Oxford web site. If you'd like to learn about Deep Learning in a MOOC format, be sure to check out the new series of courses created by Andrew Ng on Coursera. Oxford's Deep Learning course will be added to our list of Free Online Computer Science Courses, part of our meta collection, 1,300 Free Online Courses from Top Universities.

After revelations that political consulting firm Cambridge Analytica allegedly appropriated Facebook user data to advise Donald Trump's 2016 U.S. presidential campaign, many are calling for greater regulation of social media networks, saying a'massive data breach' has occurred. The idea that governments can regulate their way into protecting citizen privacy is appealing, but I believe it misses the mark. What happened with Cambridge Analytica wasn't a breach or a leak. It was a wild violation of academic research ethics. The CEO finally broke his silence on the misuse of 51 million users' data Wednesday evening, outlining three steps the firm plans to take to prevent something like this from happening again.

Amazon.com has been granted a new patent by the U.S. Patent and Trademark Office for a delivery drone that can respond to human gestures. The concept is part of Amazon's goal to develop a fleet of unmanned aerial vehicles that can get packages to customers in 30 minutes or less. Issued earlier this week, the patent may help Amazon grapple with how flying robots might interact with human bystanders and customers waiting on their doorsteps. Depending on a person's gestures -- a welcoming thumbs up, shouting or frantic arm waving -- the drone can adjust its behavior, according to the patent. The machine could release the package it's carrying, alter its flight path to avoid crashing, ask humans a question or abort the delivery, the patent says.

Organizations around the world -- and not just those in the EU but also those consuming goods and services from Europe -- need to prepare now for the EU GDPR. If you're providing electronic goods or services to anyone who's in Europe, be they a citizen, a temporary resident, or even if they're passing through a European airport for half an hour, potentially, GDPR may apply, and you need to comply with that. It may also apply to anyone in the world, anywhere, if you are profiling or doing analytics on them. You have limited time and increasing pressure to get ready by 25 May 2018. GDPR practical data actions and accelerators from IBM can help your organization on its journey to compliance.

Board to help MOV37 find, develop and nurture the new wave of young talent revolutionizing investment management. New York, March 8, 2018 – MOV37, the research and investment platform for Autonomous Learning Investment Strategies (ALIS), has assembled an Advisory Board to help find, develop and nurture the young talent that will revolutionize investment management. "The Advisory Board's primary role is to push us outside our intellectual comfort zones," says Adil Abdulali, Chief Science Officer and President at MOV37. The Board will partner with MOV37 in exploring how technology is fundamentally changing investment management and identifying and supporting the young ALIS managers at the forefront of that disruption. Raphael Douady earned his math PhD in Hamiltonian systems in Paris and holds the Robert Frey Endowed Chair for Quantitative Finance at Stony Brook, New York.

Epic Games, CubicMotion, 3Lateral, Tencent, and Vicon took a big step toward creating believable digital humans today with the debut of Siren, a demo of a woman rendered in real-time using Epic's Unreal Engine 4 technology. The move is a step toward transforming both films and games using digital humans who look and act like the real thing. The tech, shown off at Epic's event at the Game Developers Conference in San Francisco, is available for licensing for game or film makers. Cubic Motion's computer vision technology empowered producers to conveniently and instantaneously create digital facial animation, saving the time and cost of digitally animating it by hand. "Everything you saw was running in the Unreal Engine at 60 frames per second," said Epic Games chief technology officer Kim Libreri, during a press briefing on Wednesday morning at GDC. "Creating believable digital characters that you can interact with and direct in real-time is one of the most exciting things that has happened in the computer graphics industry in recent years."

The recommendation engine market based on AI, is projected to grow at a CAGR of 40.7% during the forecast period The market for recommendation engine based on AI, is expected to grow from USD 801.1 million in 2017 to USD 4414.8 million by 2022, at a Compound Annual Growth Rate (CAGR) of 40.7% during the forecast period. The growth in focus toward enhancing the customer experience is a major factor driving the growth of the recommendation engine market. Moreover, enhancing customer experience is important to achieve customer engagement and retention, thereby achieving higher sales and Return on Investment (RoI). However, designing of targeted campings, as well as relevant product and content recommendations, could help organizations engage more customers. Hence, analysis of customer data here plays a vital role to understand the customer behavior and preferences.

Zero Touch & Carrier Automation Congress -- The 3GPP standards group is developing a machine learning function that could allow 5G operators to monitor the status of a network slice or third-party application performance. The network data analytics function (NWDAF) forms a part of the 3GPP's 5G standardization efforts and could become a central point for analytics in the 5G core network, said Serge Manning, a senior technology strategist at Sprint Corp. (NYSE: S). Speaking here in Madrid, Manning said the NWDAF was still in the "early stages" of standardization but could become "an interesting place for innovation." The 3rd Generation Partnership Project (3GPP) froze the specifications for a 5G new radio standard at the end of 2017 and is due to freeze another set of 5G specifications, covering some of the core network and non-radio features, in June this year as part of its "Release 15" update. Manning says that Release 15 considers the network slice selection function (NSSF) and the policy control function (PCF) as potential "consumers" of the NWDAF.

Facebook revenues soared to billions of pounds after it started giving away users' details. The social media giant practically doubled its takings every year after opening up profiles to'tens of thousands' of app developers. Facebook users were yesterday waking up to how much private information has been handed out. During the data gold-rush – which lasted from 2009 to 2015 – it appears almost anyone who described themselves as a'developer' could freely mine Facebook's database. Facebook revenues soared to billions of pounds after it started giving away users' details In this period, the technology firm's revenues rose sharply, from £500million in 2009 to nearly £13billion by 2015.