Late one Friday night in early November, Jun Rekimoto, a distinguished professor of human-computer interaction at the University of Tokyo, was online preparing for a lecture when he began to notice some peculiar posts rolling in on social media. Apparently Google Translate, the company's popular machine-translation service, had suddenly and almost immeasurably improved. Rekimoto visited Translate himself and began to experiment with it. He had to go to sleep, but Translate refused to relax its grip on his imagination. Rekimoto wrote up his initial findings in a blog post. First, he compared a few sentences from two published versions of "The Great Gatsby," Takashi Nozaki's 1957 translation and Haruki Murakami's more recent iteration, with what this new Google Translate was able to produce. Murakami's translation is written "in very polished Japanese," Rekimoto explained to me later via email, but the prose is distinctively "Murakami-style."

It emphasizes flexibility through the elegant use of object-oriented design patterns.

On the heels of a mostly positive jobs report from the Bureau of Labor Statistics (BLS) (4.6% unemployment is the lowest it's been in nine years), the McKinsey Global Institute (MGI) released a more sobering snapshot of the world of work. A briefing by MGI director James Manyika, compiled from the company's extensive research, took a deeper dive into employment numbers. In the United States and the 15 core European Union countries (E.U.-15), there are 285 million adults who are not in the labor force--and at least 100 million of them would like to work more. Some 30% to 45% of the working-age population around the world is underutilized--that is, unemployed, inactive, or underemployed. Manyika says that unemployment figures typically get the most attention at the expense of those who are underemployed.

A shoe that intensifies your running gait, wristbands that tracks and logs your day-to-day actions wirelessly and an AI-backed cellular utility that displays quite a lot of well being-related information – these are only a few inventions spawned by way of advances in wearable expertise by Delhi-based totally Boltt – and The Corporate is best getting started. "We create services that empower individuals to are living higher and more fit," says co-founder of the wearable tech company, Arnav Kishore. "From improving fitness scientifically to tracking and furthering health objectives, our platform will cling a replicate to users' health in a complete new way," he provides. The soon-to-launch range of wearables by means of Boltt makes use of desktop finding out algorithms, cognitive computing and AI to analyse lifestyle patterns of users and convert their job knowledge into actionable insights. "The Boltt machine is powered through an in-constructed AI health assistant that provides audio remarks on actual-time activities," says co-founding father of the wearable AI health startup, Aayushi Kishore.

WASHINGTON – A coalition drone strike in Syria killed three Islamic State group leaders involved in plotting foreign attacks, including two men who helped facilitate last year's attacks in Paris, the Pentagon said Tuesday. "The three were working together to plot and facilitate attacks against Western targets at the time of the strike," Pentagon press secretary Peter Cook said in a statement. They were killed in a Dec. 4 airstrike in Raqqa, an IS group stronghold in Syria. Two of those killed -- Salah-Eddine Gourmat and Sammy Djedou -- were involved in facilitating the Nov. 13, 2015, Paris attacks, in which 130 people died, Cook said. Gourmat was a French national and Djedou, Belgian.

The year Jojo and I started eighth grade, the power plant officially cut electricity to two hours a day. We'd already been through years of brownouts, of flickering lights, blinking monitors, older ag drones without artificial neural networks rebooting in their stations and randomly launching to spray the fields again or overfeed the chickens. So when Public Works & Electric issued a message to all our devices telling us about its irregular hours of operation, no one was surprised. The message was full of obfuscating language, but anyone with a tide chart could spot the correlation. Anyone driving down the causeway to the airport, past the power plant, could see through its chain-link fence the turbines standing silent, tense as raised shoulders; the grounds swamped in seawater, the ebbing tide dragging out an iridescent Rorschach of petroleum.

That's what I find myself asking my Amazon Echo voice-activated device more often than any other -- not aloud but on the inside, as the comedian Bobby Collins might say, because you don't really want a robotic presence in your house doubting your commitment to your mutual relationship. Alexa, you might know, is the female persona inhabiting the Echo, a Wi-Fi-enabled black cylinder about the size of a Pringles can, which you prime to answer your questions or perform services by invoking her name. I was given a $179 Echo last year as a gift, and a $49 Echo Dot -- a squashed down version endowed with a lousier speaker but equipped with Bluetooth capability -- as another gift for Father's Day. According to Amazon PR, these devices have ranked among the firm's most popular items. With Christmas approaching, Amazon has been pushing the Dot mercilessly as a gift item, even bundling it in six-packs.

Coalition formation typically involves the coming together of multiple, heterogeneous, agents to achieve both their individual and collective goals. In this paper, we focus on a special case of coalition formation known as Graph-Constrained Coalition Formation (GCCF) whereby a network connecting the agents constrains the formation of coalitions. We focus on this type of problem given that in many real-world applications, agents may be connected by a communication network or only trust certain peers in their social network. We propose a novel representation of this problem based on the concept of edge contraction, which allows us to model the search space induced by the GCCF problem as a rooted tree. Then, we propose an anytime solution algorithm (CFSS), which is particularly efficient when applied to a general class of characteristic functions called $m+a$ functions. Moreover, we show how CFSS can be efficiently parallelised to solve GCCF using a non-redundant partition of the search space. We benchmark CFSS on both synthetic and realistic scenarios, using a real-world dataset consisting of the energy consumption of a large number of households in the UK. Our results show that, in the best case, the serial version of CFSS is 4 orders of magnitude faster than the state of the art, while the parallel version is 9.44 times faster than the serial version on a 12-core machine. Moreover, CFSS is the first approach to provide anytime approximate solutions with quality guarantees for very large systems of agents (i.e., with more than 2700 agents).

Richard Craib is a 29-year-old South African who runs a hedge fund in San Francisco. He leaves that to an artificially intelligent system built by several thousand data scientists whose names he doesn't know. Under the banner of a startup called Numerai, Craib and his team have built technology that masks the fund's trading data before sharing it with a vast community of anonymous data scientists. Using a method similar to homomorphic encryption, this tech works to ensure that the scientists can't see the details of the company's proprietary trades, but also organizes the data so that these scientists can build machine learning models that analyze it and, in theory, learn better ways of trading financial securities. "We give away all our data," says Craib, who studied mathematics at Cornell University in New York before going to work for an asset management firm in South Africa.

Regarding Fear and Artificial Intelligence (AI), one question often comes up:'Will we be killed by a Terminator Doppelganger?' I don't know if this will happen eventually, but I do know that we already have robots fighting our wars. This century is therefore, the first time in human history that we engage in Unmanned Warfare. What is the current status of this'Unmanned Warfare'? What do people think about drone strikes and will terminators be the next step?