Election control problems are concerned with affecting the result of an election by modifying the structure of the election. Such election modifications could be either introducing some new candidates or voters or removing some existing candidates or voters from the election or partitioning candidates or voters [2, 27, 32, 42, 56, 57, 34, 35, 62]. We focus on the computational complexity of election control by adding and deleting candidates (that is, candidate control), for the case where the election involves only a few voters. From the viewpoint of computational complexity, voter control with few voters has not received sufficient study. We focus on very simple, practical voting rules such as Plurality, Veto, andt-Approval, but discuss several more involved rules as well. To analyze the effect of allowing only a small number of voters, we use the formal tools of parameterized complexity theory [21, 23, 38, 60]. From the viewpoint of classical complexity theory, most of the candidate control problems for most of the typically studied voting rules are NPhard. Indeed, candidate control problems are NPhard even for the Plurality rule; nonetheless, there are some natural examples of candidate control problems with polynomialtime algorithms. It turns out that for the case of elections with few voters, that is, for control problems parameterized by the number of voters, the computational complexity landscape of candidate control is much more varied and sometimes quite surprising.

This paper studies an intelligent ultimate technique for health-monitoring and prognostic of common rotary machine components, particularly bearings. During a run-to-failure experiment, rich unsupervised features from vibration sensory data are extracted by a trained sparse auto-encoder. Then, the correlation of the extracted attributes of the initial samples (presumably healthy at the beginning of the test) with the succeeding samples is calculated and passed through a moving-average filter. The normalized output is named auto-encoder correlation-based (AEC) rate which stands for an informative attribute of the system depicting its health status and precisely identifying the degradation starting point. We show that AEC technique well-generalizes in several run-to-failure tests. AEC collects rich unsupervised features form the vibration data fully autonomous. We demonstrate the superiority of the AEC over many other state-of-the-art approaches for the health monitoring and prognostic of machine bearings.

When science fiction author Isaac Asimov devised his Three Laws of Robotics he was thinking about androids. He envisioned a world where these human-like robots would act like servants and would need a set of programming rules to prevent them from causing harm. But in the 75 years since the publication of the first story to feature his ethical guidelines, there have been significant technological advancements. Sci-fi author Isaac Asimov devised his Three Laws of Robotics he was thinking about androids. The three'Laws of Robotics' were devised by sci-fi author Isaac Asimov in a short story he wrote in 1942, called'Runaround'.

Humans and Artificial Intelligence (AI) will merge in an event known as'the singularity' by 2045, a Google executive has predicted. Super human cyborgs with nanobot implants in their brains will be funnier, sexier and smarter than humans today, according to futurist Ray Kurzweil, Futurism reports. The computer scientist believes we will see an AI pass what he calls a'valid' Turing test within the next 12 years. "By 2029, computers will have human-level intelligence," he said in an interview with SXSW. "That leads to computers having human intelligence, our putting them inside our brains, connecting them to the cloud, expanding who we are. It's here, in part, and it's going to accelerate."

Last month, when President Donald Trump toured a Boeing aircraft plant in North Charleston, South Carolina, he saw a familiar face in the crowd that greeted him: Patrick Caddell, a former Democratic political operative and pollster who, for forty-five years, has been prodding insurgent Presidential candidates to attack the Washington establishment. Caddell, who lives in Charleston, is perhaps best known for helping Jimmy Carter win the 1976 Presidential race. He is also remembered for having collaborated with his friend Warren Beatty on the 1998 satire "Bulworth." In that film, a kamikaze candidate abandons the usual talking points and excoriates both the major political parties and the media; voters love his unconventionality, and he becomes improbably popular. If the plot sounds familiar, there's a reason: in recent years, Caddell has offered political advice to Trump. He has not worked directly for the President, but at least as far back as 2013 he has been a contractor for one of ...

Let's learn how to create a spot instance where we will be able to develop and run ML models. We want to use P2 instances. They come with one or more powerful NVIDIA K80 GPUs with lots of memory (11 GB) to test and train your models on. Before we can start any P2 instances, we need to setup a Virtual Private Cloud (VPC). Which is just a fancy virtual network to launch your virtual machine in. Setting up a VPC can be a little intimidating.

Russia-based Kalashnikov announced plans to super-size its 7-ton combat vehicle. The gunmaker is developing an unmanned 20-ton'robot' tank capable of carrying both machine guns and anti-tank missiles. The vehicle's predecessor, BAS-01G Soratnik, is designed to support a 30mm gun or eight anti-tank missiles – all while traveling at top speeds of 25 miles per hour. Kalashnikov announced plans to super-size its 7-ton combat vehicle. The firm is developing an unmanned 20-ton'robot' tank capable of carrying both machine guns and anti-tank missiles.

The technologies making waves in 2017 include brain implants and quantum computers. Here is a list of the top 10 technologies that are expected to be prevalent this year, according to MIT. At the top of the list is behavior-reinforced artificial intelligence. Whether that's mastering the complex game of Go and beating a champion or learning to merge a self-driving car into traffic. The technology is based on reinforcement learning, documented more than a 100 years ago by psychologist Edward Thorndike.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

Amongst all the activity in autonomously driven vehicle joint ventures, new R&D facilities, strategic acquisitions (such as Mobileye being acquired by Intel) and booming startup fundings, two big players in the industry, NVIDIA and Bosch, are partnering to develop an AI self-driving car supercomputer. Bosch CEO Dr Volkmar Denner announced the partnership during his keynote address at Bosch Connected World, in Berlin. "Automated driving makes roads safer, and artificial intelligence is the key to making that happen," said Denner. "We are making the car smart. We are teaching the car how to maneuver through road traffic by itself."