Contests & Prizes


Wanted: AI That Can Spy

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The deluge of satellite imagery leaves U.S. intelligence agencies with the world's biggest case of FOMO--"fear of missing out"--because human analysts can sift through only so many images to spot a new nuclear enrichment facility or missiles being trucked to different locations. That's why U.S. intelligence officials have sponsored an artificial-intelligence challenge to automatically identify objects of interest in satellite images. Since July, competitors have trained machine-learning algorithms on one of the world's largest publicly available data sets of satellite imagery--containing 1 million labeled objects, such as buildings and facilities. The data is provided by the U.S. Intelligence Advanced Research Projects Activity (IARPA). The 10 finalists will see their AI algorithms scored against a hidden data set of satellite imagery when the challenge closes at the end of December.


Why India's data scientists make a fraction of their US counterparts FactorDaily

@machinelearnbot

Data scientists and machine learning engineers in India make about one-tenth of what their counterparts in the United States do, a leading global survey shows. The median annual salary in India, based on 450 responses, is $11,715 (Rs 7.5 lakhs), a fraction of the comparable annual earnings in the US ($110,000). The median for all respondents from 52 countries, whose data was considered in the calculations, is $55,441. Kaggle, the world's largest global online community of data scientists, statisticians and machine learning engineers, published its The State of Data Science & Machine Learning annual survey earlier this week, deriving insights on 16,000 respondents in a report that polled the data science and machine learning industry. The Google-owned platform currently boasts of over a million members and is known to attract the world's smartest data scientists by holding public and private data science competitions.


1000 local events expected during the European Robotics Week 2017

Robohub

The importance of robotics for Europe's regions will be the focus of a week-long celebration of robotics taking place around Europe on 17–27 November 2017. The European Robotics Week 2017 (ERW2017) is expected to include more than 1000 local events for the public -- open days by factories and research laboratories, school visits by robots, talks by experts and robot competitions are just some of the events. Robotics is increasingly important in education. "Since 2011, we have been asking schools throughout all regions of Europe to demonstrate robotics education at all levels," says Reinhard Lafrenz, the Secretary General of euRobotics, the association for robotics researchers and industry which organises ERW2017. "I am delighted that many skilled teachers and enthusiastic local organisers have taken up this challenge and we have seen huge success in participation, with over 1000 events expected to be organised in all regions of Europe this year."


The Turing Test And The Turing Machine

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This week's milestones in the history of technology include Microsoft unleashing MS-DOS and Windows, the first Turing Test and the introduction of the Turing Machine, and IBM launching a breakthrough in computer storage technology. IBM and Microsoft sign a contract under which Microsoft will develop an operating system for IBM's upcoming personal computer (PC). To meet its obligations, Microsoft acquired an existing product developed by a Seattle company for the Intel 8086 CPU card, originally called Quick and Dirty Operating System (QDOS). IBM released the Microsoft operating system with its first PC in 1981. Within a year Microsoft licensed the software (MS-DOS) to over 70 other companies, making it the dominant PC software company for years to come.


Inference Emerges As Next AI Challenge

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As developers flock to artificial intelligence frameworks in response to the explosion of intelligence machines, training deep learning models has emerged as a priority along with synching them to a growing list of neural and other network designs. All are being aligned to confront some of the next big AI challenges, including training deep learning models to make inferences from the fire hose of unstructured data. These and other AI developer challenges were highlighted during this week's Nvidia GPU technology conference in Washington. The GPU leader uses the events to bolster its contention that GPUs--some with up to 5,000 cores--are filling the computing gap created by the decline of Moore's Law. The other driving force behind the "era of AI" is the emergence of algorithm-driven deep learning that is forcing developers to move beyond mere coding to apply AI to a growing range of automated processes and predictive analytics.


Google's former CEO says US could fail in the AI competition with China

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Alphabet chairman Eric Schmidt says the US is at risk of falling behind in the race to develop cutting-edge artificial intelligence. Speaking at a tech summit organized by national security think tank CNAS, Schmidt predicted that America's lead in the field would continue "over the next five years" before China catches up "extremely quickly." "They are going to use this technology for both commercial and military objectives, with all sorts of implications," said Schmidt, referencing a Chinese policy document by outlining the country's ambition to become the global leader in AI by 2030. Schmidt reiterated several familiar talking points in this debate: that the US is failing to invest in basic research, and that a restrictive immigration policy hobbles the country's ability to attract AI talent from overseas. "Some of the very best people are in countries that we won't let into America.


The Best Retail Banking Innovations in the World!

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To find the best innovations in retail banking, you usually need to look beyond North America. The best evidence of this ongoing trend is a review of winners in major financial innovation competitions worldwide. Here is a summary of some of the best-of-the-best innovations recognized by Efma and Accenture. The question that gets asked at almost every gathering of financial services executives is, "What institution is the best innovator in banking?" or "Where is most innovation in banking taking place?" Luckily there are trade organizations such as Efma (an association of 3,300 financial institutions in 130 countries) and the Bank Administration Institute (BAI) that have annual competitions to recognize the best in the financial services industry.


Amazon offers $250,000 prize fund for Alexa skills aimed at kids

Engadget

Amazon's latest bid to boost its smart assistant's skill set is centered around kids. Alexa Skills Challenge: Kids wants Alexa tricks aimed at kids under the age of 13, with the best ones claiming cash prizes from a fund of $250,000. The overall winner will claim $25,000, so a farm yard animal noise generator won't cut it. All eligible participants in the challenge will also pick up a limited-edition Echo Dot, and there's dedicated prizes for high school and university student devs. Amazon is looking for educational or fun vocal tricks for its voice assistant profile, having added kids skill functionality back in August.


NVIDIA Jetson Developer Challenge Challenge Rocket

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NVIDIA is challenging you to show us how you can transform robotics, industrial IoT, healthcare, security, or any other industry with a powerful AI solution built on the NVIDIA Jetson platform. You'll not only get the chance to win amazing prizes, but also a trip to present your project to CEOs, executives, and industry peers at the world's biggest event for GPU innovation and Artificial Intelligence (AI)--the GPU Technology Conference (GTC). Check out the "Prizes" section for details. AI is empowering the world's brightest minds to create amazing breakthroughs in a wide range of industries. Today, NVIDIA GPUs simulate human intelligence, run deep learning algorithms, and act as the brains of computers, robots, and self-driving cars.


Tree Boosting With XGBoost – Why Does XGBoost Win "Every" Machine Learning Competition?

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Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the tree boosting method of choice. But a starting from 2015, a first to try, always winning algorithm surged to the surface: XGBoost. This algorithm re-implements the tree boosting and gained popularity by winning Kaggle and other data science competition. The paper introduce in first place the supervised learning task and discuss the model selection techniques.