Asia
How to hire a great Data Scientist - Saikat Sarkar, Data Science Exper
Data Science is a comparatively new domain which most of us is not thorough with, agreed? In fact, it is such a vast area that companies go through a hard time determining the prerequisites needed in a good candidate. Hiring and interviewing them is a challenge which surely follows. So we decided to interview our top Data Science expert, Saikat Sarkar, who has been working and teaching in this domain since the last 10 years. He is presently acting as the Subject Matter Expert of Python in Aegis School of Data Science.
Demand for IoT talent up 300% in last 3 years: Survey - The Economic Times
MUMBAI: With exponential uptick in adoption of Internet of Things (IoT) and machine learning related activities in the country, the demand for IoT talent has surged by 300 per cent since 2014, showed a recent report. "The demand for IoT talent rocketed by 304 per cent, between 2014 and 2017," according to Talent Supply Index (TSI) by predictive outbound hiring platform provider Belong. TSI is based on Belong's platform data and publicly-available data from a continuously growing array of hiring sources, including traditional job sites, inbound recruiting channels, online communities, tech networks, discussion forums and more. The June 2017, TSI factored more than 1.6 lakh jobs and over 260,000 candidates based in India. "What is clear is that even in the midst of all the layoffs, it is solidly a candidate-driven market for the jobs of the future. This trend will only accelerate with more companies investing aggressively in cloud and emerging technologies like artificial intelligence (AI), while supply struggles to keep pace," Belong co-founder and CEO Vijay Sharma said.
News Daily: Council chief quits after Grenfell criticism
The chief executive of west London's Kensington and Chelsea Council - who's been among the officials and politicians facing criticism over the Grenfell Tower fire - has resigned. Nicholas Holgate called the disaster, in which at least 79 people died, "heart-breaking", adding that remaining in office would be a "distraction". He also said that Local Government Secretary Sajid Javid had asked him to quit, but Mr Javid hasn't yet commented on the claim. Prime Minister Theresa May announced on Wednesday that 68 social housing flats in Kensington Row, about 1.5 miles away from Grenfell Tower, would be made available to survivors. It's clear from the Queen's Speech that Theresa May's main priority over the next couple of years is most definitely going to be Brexit.
Origami anything
It was a milestone paper in the field of computational origami, but the algorithm didn't yield very practical folding patterns. Essentially, it took a very long strip of paper and wound it into the desired shape. The resulting structures tended to have lots of seams where the strip doubled back on itself, so they weren't very sturdy. At the Symposium on Computational Geometry in July, Demaine and Tomohiro Tachi of the University of Tokyo will announce the completion of a quest that began with that 1999 paper: a universal algorithm for folding origami shapes that guarantees a minimum number of seams. "In 1999, we proved that you could fold any polyhedron, but the way that we showed how to do it was very inefficient," Demaine says.
Minority Report at 15 years: what did it get right?
When "Minority Report" hit theaters on June 21, 2002, it arrived to an America -- and a world -- that feels equal parts familiar and alien. We were less than a year into a post-9/11 climate of increased surveillance and color-coded terror alerts. But smartphones, social media and cloud computing were only at their most nascent forms: the iPod and Windows XP were less than a year old, after all. The film, in which police use psychic "precogs" to arrest people for crimes they haven't yet committed, was based on a Philip K. Dick short story from 1956. But it was set in the year 2054.
Are YOU ready for historic US eclipse in just two months
Two months before the first total solar eclipse to cross the continental United States in a century, NASA has revealed its plans to study and promote a celestial show that will darken skies from Oregon to South Carolina. During the Aug. 21 eclipse, the moon will pass between the sun and Earth, blocking the face of the sun and leaving only its outer atmosphere, or corona, visible in the sky. It is the first coast-to-coast total eclipse since 1918 - and NASA has creraqted a pair of eclipse posters to celebrate the occasion. To celebrate the upcoming eclipse, NASA has also created these retro posters to mark the occasion,. The space agency said viewers around the world will be provided a wealth of images captured before, during, and after the eclipse by 11 spacecraft, at least three NASA aircraft, more than 50 high-altitude balloons, and the astronauts aboard the International Space Station – each offering a unique vantage point for the celestial event.
Market Interfaces for Electric Vehicle Charging
Stein, Sebastian, Gerding, Enrico H., Nedea, Adrian, Rosenfeld, Avi, Jennings, Nicholas R.
We consider settings where owners of electric vehicles (EVs) participate in a market mechanism to charge their vehicles. Existing work on such mechanisms has typically assumed that participants are fully rational and can report their preferences accurately via some interface to the mechanism or to a software agent participating on their behalf. However, this may not be reasonable in settings with non-expert human end-users.Thus, our overarching aim in this paper is to determine experimentally if a fully expressive market interface that enables accurate preference reports is suitable for the EV charging domain, or, alternatively, if a simpler, restricted interface that reduces the space of possible options is preferable. In doing this, we measure the performance of an interface both in terms of how it helps participants maximise their utility and how it affects deliberation time. Our secondary objective is to contrast two different types of restricted interfaces that vary in how they restrict the space of preferences that can be reported. To enable this analysis, we develop a novel game that replicates key features of an abstract EV charging scenario. In two experiments with over 300 users, we show that restricting the users' preferences significantly reduces the time they spend deliberating (by up to half in some cases). An extensive usability survey confirms that this restriction is furthermore associated with a lower perceived cognitive burden on the users. More surprisingly, at the same time, using restricted interfaces leads to an increase in the users' performance compared to the fully expressive interface (by up to 70%). We also show that some restricted interfaces have the desirable effect of reducing the energy consumption of their users by up to 20% while achieving the same utility as other interfaces. Finally, we find that a reinforcement learning agent displays similar performance trends to human users, enabling a novel methodology for evaluating market interfaces.
Parliamentary Voting Procedures: Agenda Control, Manipulation, and Uncertainty
Bredereck, Robert, Chen, Jiehua, Niedermeier, Rolf, Walsh, Toby
We study computational problems for two popular parliamentary voting procedures: the amendment procedure and the successive procedure. They work in multiple stages where the result of each stage may influence the result of the next stage. Both procedures proceed according to a given linear order of the alternatives, an agenda. We obtain the following results for both voting procedures: On the one hand, deciding whether one can make a specific alternative win by reporting insincere preferences by the fewest number of voters, the Coalitional Manipulation problem, or whether there is a suitable ordering of the agenda, the Agenda Control problem, takes polynomial time. On the other hand, our experimental studies with real-world data indicate that most preference profiles cannot be manipulated by only few voters and a successful agenda control is typically impossible. If the voters' preferences are incomplete, then deciding whether an alternative can possibly win is NP-hard for both procedures. Whilst deciding whether an alternative necessarily wins is coNP-hard for the amendment procedure, it is polynomial-time solvable for the successive procedure.
Machine Learning, Planetary Defense and More!
Hosted by the SETI Institute, NASA Frontier Development Lab (FDL) is an AI R&D accelerator that teams planetary and data scientists, adds leading edge technical resources and skills from the private sector and tackles knowledge gaps useful to the space program. FDL teams address tightly defined problems and its format encourages rapid iteration and prototyping to create outputs that have meaningful application. In 2016, three teams developed breakthrough solutions in meteor discovery, shape modeling and deflection scenarios. Each team included two data scientists and two planetary astronomers, and were mentored by SETI Institute scientists Michael Busch, Peter Jenniskens and Franck Marchis. To deepen and diversify each group's scientific and technological work, experts from the fields of planetary science, machine learning and deep thinking, drone technology, space-based technology, and space-mission design and operation were also asked to guide the three groups.
Exclusive look at McLaren's space-age road-car simulator
These are the first images of McLaren's state-of-the-art simulator that could be used to develop the next car you buy. That's because the sports and racing car legend's simulator will be used by car manufacturers to develop and test vehicles of the future. This is Money and MailOnline's Rob Hull was granted an exclusive first peek at the new road-car simulator - a more advanced edition of the Formula 1 version currently used by Fernando Alonso, Stoffel Vandoorne and other drivers to hone their racing skills. He visited McLaren's motoring headquarters to find out why there's a growing demand for vehicle simulation, in what other scenarios it can be incorporated and - to his own detriment - what it's like to use one? Exclusive: These are the first images of McLaren's new'MTS Vehicle Dynamics Simulator' that will be used by the brand and other manufacturers to test and develop their cars of the future If anybody knows the answer to questions like these it's McLaren - it's been using simulators as part of its Formula 1 programme since 1997.