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People who believe IQ is set at birth overestimate how bright they are

Daily Mail - Science & tech

For some people, they believe their IQ is something they are stuck with for life after it was set in stone at birth, while others are convinced their intelligence can be constantly improved. Now it seems how you view your own intelligence may have a direct impact on your ability to fulfill your potential. A new study has found that people who believe their IQ is fixed at birth tend to overestimate how bright they really are. Believing your IQ is fixed may actually hold you back as it can lead you to overestimate your intelligence and causes you to focus on easier tasks to reinforce this view. Intriguingly this may actually hold them back as they are then less likely to develop their own intellectual capacity.


This is the future of video game development

Engadget

The Girls Make Games initiative aims to encourage young women to dive into the rich industry of video game development, and it seems to be doing the trick. This year at the Independent Games Festival awards ceremony, nine young ladies from Girls Make Games collected the ID@Xbox Rising Star award for their work on The Hole Story. It's a top-down RPG featuring an archaeologist named Wendy who digs a portal to a fantastical dimension in her backyard. We caught up with the winners right after they collected their prizes and had one question for each of them: What do you want the future of video games to look like?


It's Your Business: Checkers headed for C-U - Artificial Intelligence Online

#artificialintelligence

A fast-food chain with restaurants in 28 states is getting ready to start serving burgers and fries in Champaign-Urbana. Bruce Kim, director of franchise development for Checkers and Rally's Restaurants, said the company is in the process of awarding a franchise for up to three new Checkers restaurants in the area. "We are a quick-service restaurant," he said. "We are known for our seasoned, seared and grilled burgers; fries; grilled, all-meat hot dogs; crazy good chicken wings; golden fish sandwiches; and ice cream. "Our seasoned fries were named the best fries for 2015 by Yahoo." Kim said Checkers restaurants typically stay open late, with most of them serving customers in their double drive-thru until 2 or 3 a.m. The Tampa, Fla.-based chain has 828 locations nationwide, and the website Thrillist recently named Checkers the fastest-growing fast-food chain in Illinois. Kim said the chain is up to 20 Checkers restaurants and seven Rally's restaurants in the state, and the next step is to start building stores in Champaign County. "There is plenty of room to grow, and we are trying to build several locations in Champaign-Urbana," Kim said. "Our studies show we have room for three stores, with our growth franchise-driven." "The community has a good, solid income base, good ethnic diversity and lots of university students.


How to learn Machine Learning?

#artificialintelligence

Some time ago I started a journey into one of the most exciting fields in Computer Science -- Machine Learning. This is my subjective guide for anyone who would like to explore this topic, but don't know how to start. Your first steps should lead to Stanford Machine Learning class at Coursera by Andrew Ng. This course is simply brilliant! Along a way, you will be given everything you need to know, including algebra review.


Automation and machine learning will upend insurance, says McKinsey - WHICH 50

#artificialintelligence

Digital expertise will become increasingly critical in the insurance sector as digitization and machine learning leads to more highly'automatable' insurance according to management consultants McKinsey & Company. Meanwhile a separate piece of research by Accenture found that insurance companies are accelerating the shift to a radically different distribution model, where they say digital will play an increasingly important role in most interactions, and were agents' efforts are being refocused to add more value. And analysis by research outfit Ovum suggests strong investment in digital channels also. According to Ovum, " When it comes to investment, digital channels remains the top area for insurers. However, the significant majority of insurers will be increasing budgets across a broad range of functional areas with no single activity completely dominating spend. This reflects the complex set of priorities that IT groups are being asked to meet by the wider business, simultaneously addressing revenue growth, operational efficiency and regulatory compliance."


Chevron: Gorgon LNG, Mission Accomplished

#artificialintelligence

During Chevron Corporation's (NYSE:CVX) Security Analyst meeting on March 8, several big pieces of news came out. A day before the meeting, Chevron issued a press release stating that its 54 billion Gorgon LNG facility in Australia had just started producing LNG (liquefied natural gas) and condensate. After originally estimated to be operational by the end of 2014 for under 30 billion USD, the project was delayed as costs skyrocketed. As the operator with a 47.3% stake, Chevron lost a lot of credibility due to the massive cost of its mishaps, as did its partners ExxonMobil (NYSE:XOM) and Royal Dutch Shell (NYSE:RDS.A) (NYSE:RDS.B), who each own 25% of the venture. The first cargo of LNG is expected to be shipped out very soon, potentially marking the beginning of a strong source of growth after all the headaches it took to get here.


An Interview with Stanford University President John Hennessy

Communications of the ACM

John Hennessy joined Stanford in 1977 right after receiving his Ph.D. from the State University of New York at Stony Brook. He soon became a leader of Reduced Instruction Set Computers. This research led to the founding of MIPS Computer Systems, which was later acquired for 320 million. There are still nearly a billion MIPS processors shipped annually, 30 years after the company was founded. Hennessy returned to Stanford to do foundational research in large-scale shared memory multiprocessors. In his spare time, he co-authored two textbooks on computer architecture, which have been continuously revised and are still popular 25 years later. This record led to numerous honors, including ACM Fellow, election to both the National Academy of Engineering and the National Academy of Sciences. Not resting on his research and teaching laurels, he quickly moved up the academic administrative ladder, going from the CS department chair to Engineering college dean to provost and finally to president in just seven years. He is Stanford's tenth president, its first from engineering, and he has governed it for an eighth of its existence. Since 2000, he doubled Stanford's endowment, including a record 6.2 billion for a single campaign. He used those funds to launch many initiatives--which often cross departmental lines--along with new buildings to house them. Undergraduate applications also doubled, for the first time making Stanford even more selective than Harvard.


Peter Naur

Communications of the ACM

Peter Naur, a Danish computer scientist and 2005 recipient of the ACM A.M. Turing Award for fundamental contributions to programming language design and the definition of Algol 60, to compiler design, and to the art and practice of computer programming, died January 3 after a brief illness. Born in Fredricksberg, Denmark, Naur studied astronomy at the University of Copenhagen, where he received his Ph.D. in that field before going to Kings College Cambridge in the 1950s to conduct research both into astronomy and the emerging field of computer programming. As he told Computerworld Denmark in a 2014 interview (http://bit.ly/1O13v1I), "I had the great privilege to get to Cambridge in the early 1950s. Here I discovered that calculations of planetary motion that could take several hours, could now be carried out in seconds with a computer."


High-dimensional Black-box Optimization via Divide and Approximate Conquer

arXiv.org Artificial Intelligence

Divide and Conquer (DC) is conceptually well suited to high-dimensional optimization by decomposing a problem into multiple small-scale sub-problems. However, appealing performance can be seldom observed when the sub-problems are interdependent. This paper suggests that the major difficulty of tackling interdependent sub-problems lies in the precise evaluation of a partial solution (to a sub-problem), which can be overwhelmingly costly and thus makes sub-problems non-trivial to conquer. Thus, we propose an approximation approach, named Divide and Approximate Conquer (DAC), which reduces the cost of partial solution evaluation from exponential time to polynomial time. Meanwhile, the convergence to the global optimum (of the original problem) is still guaranteed. The effectiveness of DAC is demonstrated empirically on two sets of non-separable high-dimensional problems.


Extracting Predictive Information from Heterogeneous Data Streams using Gaussian Processes

arXiv.org Machine Learning

Financial markets are notoriously complex environments, presenting vast amounts of noisy, yet potentially informative data. We consider the problem of forecasting financial time series from a wide range of information sources using online Gaussian Processes with Automatic Relevance Determination (ARD) kernels. We measure the performance gain, quantified in terms of Normalised Root Mean Square Error (NRMSE), Median Absolute Deviation (MAD) and Pearson correlation, from fusing each of four separate data domains: time series technicals, sentiment analysis, options market data and broker recommendations. We show evidence that ARD kernels produce meaningful feature rankings that help retain salient inputs and reduce input dimensionality, providing a framework for sifting through financial complexity. We measure the performance gain from fusing each domain's heterogeneous data streams into a single probabilistic model. In particular our findings highlight the critical value of options data in mapping out the curvature of price space and inspire an intuitive, novel direction for research in financial prediction.