Facebook has shed more light on how it moderates content on the site, amid heavy criticism. The company believes it has found the right balance in terms of how much unacceptable content it takes down and how much it leaves up, in order to bring attention to a serious issue. "We face criticism from people who want more censorship and people who want less," wrote Monika Bickert, Facebook's head of global policy management, in a blog post today. "We see that as a useful signal that we are not leaning too far in any one direction." 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.

Reuters news agency reported on 16th February 2017 that "European lawmakers called...for EU-wide legislation to regulate the rise of robots, including an ethical framework for their development and deployment and the establishment of liability for the actions of robots including self-driving cars." The question of determining'liability' for decision making achieved by robots or artificial intelligence is an interesting and important subject as the implementation of this technology increases in industry, and starts to more directly impact our day to day lives. Indeed, as application of Artificial Intelligence and machine learning technology grows, we are likely to witness how it changes the nature of work, businesses, industries and society. And yet, although it has the power to disrupt and drive greater efficiencies, AI has its obstacles: the issue of'who is liable when something goes awry' being one of them. Like many protagonists in industry, Members of the European Parliament (MEPs) are trying to tackle this liability question.

Nokia has settled its legal battle with Apple with a new patent licence agreement and also signed a business deal with the US giant, surprising investors who had expected the dispute to drag on. The companies said on Tuesday that Nokia would receive an upfront cash payment and additional revenues from Apple starting from the current quarter, without giving details. Analysts said the revenue was likely to be far higher than a previous deal. Nokia shares, which fell in December when the patent dispute was announced, jumped as much as 8 per cent to their highest since February 2016 and were 6.5 per cent higher at €5.88 by 0848 GMT. "We are pleased with this resolution of our dispute and we look forward to expanding our business relationship with Nokia," Apple chief operating officer Jeff Williams said in a joint statement from the companies.

Recently I was privileged to sit on the committee that selects the winner of the Karl Pearson Prize. KP was, of course, an early mathematical statistician, famous for many commonly-used statistical methods and tools including histograms, the correlation coefficient, the method of moments, p-values, the chi-squared test and principal components analysis. He is also infamous for his highly racist views, support for eugenics, anti-semitism and for refusing a knighthood. All that aside, the job of the committee was to select an English-language article or book published in the last 30 years that has made a stand-alone research contribution, and which has had major influence on one or more of statistical theory, statistical methodology, statistical practice and application. There were many excellent nominations, but we decided to award the 2017 prize to Rod Little and Don Rubin for their 1987 book "Statistical analysis with missing data".

Shoppers can literally grab and go without paying for their goods at a cash register at Amazon's new smart grocery store in Seattle. People walk past an Amazon Go store, currently open only to Amazon employees, Thursday, April 27, 2017, in Seattle. Amazon Go shops are convenience stores that don't use cashiers or checkout lines, but use a tracking system that of sensors, algorithms, and cameras to determine what a customer has bought. SAN FRANCISCO -- Amazon seems to be looking to export its experimental checkout-less grocery story to the United Kingdom with Friday's registration of the trademark of "No Queue. Similar trademarks are in process in the European Union's Intellectual Property Office.

Ridesourcing platforms like Uber and Didi are getting more and more popular around the world. However, unauthorized ridesourcing activities taking advantages of the sharing economy can greatly impair the healthy development of this emerging industry. As the first step to regulate on-demand ride services and eliminate black market, we design a method to detect ridesourcing cars from a pool of cars based on their trajectories. Since licensed ridesourcing car traces are not openly available and may be completely missing in some cities due to legal issues, we turn to transferring knowledge from public transport open data, i.e, taxis and buses, to ridesourcing detection among ordinary vehicles. We propose a two-stage transfer learning framework. In Stage 1, we take taxi and bus data as input to learn a random forest (RF) classifier using trajectory features shared by taxis/buses and ridesourcing/other cars. Then, we use the RF to label all the candidate cars. In Stage 2, leveraging the subset of high confident labels from the previous stage as input, we further learn a convolutional neural network (CNN) classifier for ridesourcing detection, and iteratively refine RF and CNN, as well as the feature set, via a co-training process. Finally, we use the resulting ensemble of RF and CNN to identify the ridesourcing cars in the candidate pool. Experiments on real car, taxi and bus traces show that our transfer learning framework, with no need of a pre-labeled ridesourcing dataset, can achieve similar accuracy as the supervised learning methods.

Janzamin, H. Sedghi and A. Anandkumar, Beating the Perils of Non-Convexity: Guaranteed Training of Neural Networks using Tensor Methods, 2015 The AI Winter refers to the period in the mid-1980s in which interest in AI began to drop as the field failed to yield significant practical gains. Skynet is the name of the fictional, murderous artificial intelligence in the Terminator movie series. See also Harry Surden, Technological Opacity, Predictability, and Self-Driving Cars, 38 Cardozo L. Rev. 121, 162–63 (2016). See also In the Matter of the American Medical Association, et al., 94 F.T.C. 701 (1979) (doctors); In the Matter of Connecticut Chiropractic Ass'n, 114 F.T.C. 708 (1991) (chiropractors); In the Matter of Nat'l Soc'y of Prof'l Eng'rs, 116 F.T.C. 787 (1993) (engineers).

Summary: As deep learning expands those capabilities are finding their way into the not-for-profit community in the service of conserving the earth's wildlife and forests. The for-profit world may be driving AI but it's a solution to many problems in the not-for-profit world as well. We were particularly impressed by the use of deep learning technologies to solve problems in the pursuit of preserving natural resources including many species of animals and fish, and also including forests. For the most part the data problems that nature conservancy organizations face fall into these categories. Going back 20 years this meant putting intrepid feet on the ground with binoculars and note pads.

The Artificial Intelligence Market Forecasts 2016 -2025 across 27 Industry Sectors has provided an overview of numerous Artificial Intelligence use cases, which includes Machine Learning, machine reasoning, Deep Learning, NLP, computer vision, and many other allied technologies. According to this study, food services, consumer products, advertising, and defense (along with others mentioned above) will significantly benefit from the growth of AI in the coming years.

My husband and I have a running joke where we have our Amazon Echo "compete" with our iPhones to see who does a better (i.e., more human-like) job of interacting with us. While there's no clear winner, Siri seems to have the edge for casual conversation, but Alexa can sing. I've noticed something else, too. We don't usually thank Siri or Alexa the way we would a clerk at a supermarket or an employee at an information kiosk, even though they're providing us with identical services. They don't care if we thank them, because they don't have feelings.