Machine learning used to take place behind the scenes: Amazon mined your clicks and purchases for recommendations, Google mined your searches for ad placement, and Facebook mined your social network to choose which posts to show you. But now machine learning is on the front pages of newspapers, and the subject of heated debate. Learning algorithms drive cars, translate speech, and win at Jeopardy! What can and can't they do? Are they the beginning of the end of privacy, work, even the human race?

Global GDP will be 14% higher in 2030 as a result of AI – the equivalent of an additional $15.7 trillion. This makes it the biggest commercial opportunity in today's fast changing economy according to new research by PwC. Drawing on a detailed analysis of the business impact of AI Sizing the prize outlines the economies that are set to gain the most from AI. AI will contribute $15.7 trillion to the global economy in 2030, more than the current output of China and India combined. Labour productivity improvements are expected to account for over half of all economic gains from AI over the period 2016-2030. Increased consumer demand resulting from AI-enabled product enhancements will account for the rest.

We have been working on a book covering the tutorials of code examples in the link. Now we are in the stage of finalizing the code while editing. Please let me know if we missed anything! It will be published in Korea in a month and will be translated into English (hopefully soon).

A rising topic in computational journalism is how to enhance the diversity in news served to subscribers to foster exploration behavior in news reading. Despite the success of preference learning in personalized news recommendation, their over-exploitation causes filter bubble that isolates readers from opposing viewpoints and hurts long-term user experiences with lack of serendipity. Since news providers can recommend neither opposite nor diversified opinions if unpopularity of these articles is surely predicted, they can only bet on the articles whose forecasts of click-through rate involve high variability (risks) or high estimation errors (uncertainties). We propose a novel Bayesian model of uncertainty-aware scoring and ranking for news articles. The Bayesian binary classifier models probability of success (defined as a news click) as a Beta-distributed random variable conditional on a vector of the context (user features, article features, and other contextual features). The posterior of the contextual coefficients can be computed efficiently using a low-rank version of Laplace's method via thin Singular Value Decomposition. Efficiencies in personalized targeting of exceptional articles, which are chosen by each subscriber in test period, are evaluated on real-world news datasets. The proposed estimator slightly outperformed existing training and scoring algorithms, in terms of efficiency in identifying successful outliers.

The fast paced and fragmented online discussion is changing the world and not always to the better. Media is struggling with moderation demands and major news sites are closing down commenting on their articles, because they are being used to drive an unrelated political agenda, or just for trolling. Moderation practice cannot rely on humans anymore, because a single person can easily generate copious amounts of content, and moderation needs to be done with care. It's simply much more time consuming than cut and pasting your hate or ads all across the internet. Anonymity adds to the problem, as it seems to bring out the worst in people.

The era of Artificial Intelligence (AI) is upon us. More and more, computer systems will become able to perform tasks that previously required human intelligence, such as decision making, visual perception, and speech and language recognition. Marketing, like most other fields, will feel AI's impact in several areas, including database marketing techniques, search queries and search engine optimization (SEO), personalization, predictive customer service, sales forecasting, customer segmentation, pricing, and many others. Act-On recently asked several marketing experts and analysts for their assessments of the pros and cons of using Artificial Intelligence in marketing and what they foresee for the future. Question: Will Artificial Intelligence (AI) be marketing's friend or foe? How do you see the two co-existing as AI becomes more mainstream?

Next month will mark the 47th anniversary of Apollo 13. The film that recounts the story is a favorite of mine, probably because it so masterfully captures the incredible suspense, fear, and hope felt by people everywhere, that I personally recall very well. I also know how an organization's digital transformation can generate similar reactions! Apollo 13 was likely a casualty of the space program's incredibly aggressive schedule. NASA, with U.S. political and military leaders, was motivated by competition from the U.S.S.R. and fear of the potential consequences of not being first.

Sky is set to retire Sky Sports 1, 2, 3, 4 and 5, it has been reported. The broadcaster will also introduce new subscription packages that are significantly cheaper than those on offer currently. It will get rid of its numbered sports channels and replace them with channels for specific sports, like the existing Formula One channel. 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. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

To automatically receive news releases from the American Chemical Society, contact newsroom@acs.org.

A few weeks back, we looked at one of the biggest problems facing digital publishers--their ecosystem has morphed into one where traffic is increasingly being driven by clicks from social media sites, Facebook, in particular. This means they lose control over the cadence of the editorial they put out since it's up to the Mighty Facebook Algorithm as to when and where (and to whom) their stories are surfaced. That means publishers lose access to data too, as they can't track users around their sites and learn from their behavior. Los Angeles-based IRIS.TV has been working to solve this problem for a while now, and their AI-based protocol should make publishers very happy. The AI product is designed to take users on a journey through the publisher's website, using machine learning to ascertain their preferences and then serve up videos they might be interested in.