5 Free Resources for Getting Started with Self-driving Vehicles


Recent years have witnessed amazing progress in AI related fields such as computer vision, machine learning and autonomous vehicles. As with any rapidly growing field, however, it becomes increasingly difficult to stay up-to-date or enter the field as a beginner. While several topic specific survey papers have been written, to date no general survey on problems, datasets and methods in computer vision for autonomous vehicles exists. This paper attempts to narrow this gap by providing a state-of-the-art survey on this topic. Our survey includes both the historically most relevant literature as well as the current state-of-the-art on several specific topics, including recognition, reconstruction, motion estimation, tracking, scene understanding and end-to-end learning. A lengthy, thorough overview, and probably the best starting place for anyone looking to get up to speed in the field quickly, and in one spot.

In Japan, "Artificial Intelligence" comes to be a super star while "Data Scientist" is fading away


I published a post about the current status of "Data Scientist" in Japan, as a periodic follow-up analysis since two years ago. Its trend still remains, but it's beyond my anticipation at that time. Indeed growing trend of "Artificial Intelligence" in Japan is steeper than that in English, and "Data Scientist" is now getting to be forgotten by people, although in the global market data scientist is still a major role spreading data science including both statistics and machine learning across industries. Although I did not explicitly mention in the post, I guess that Japanese people may think that data scientist is a professional for statistical analysis although artificial intelligence engineer is one for machine learning or artificial intelligence as a misleading technology. Two years ago, already I've had seen some disappointment at "Data Science" powered by statistics and supported by data scientists.

Afghan girls robotics team competes after visa obstacles

Associated Press

WASHINGTON (AP) — Their team shirts didn't say "Afghanistan" and their name badges were handwritten, not typed, suggesting the last-minute nature of their entry into the United States. But the Afghan girls competing Monday in an international robotics competition in Washington were clearly excited to be representing their nation.

Bayesian Nonlinear Support Vector Machines for Big Data

arXiv.org Machine Learning

We propose a fast inference method for Bayesian nonlinear support vector machines that leverages stochastic variational inference and inducing points. Our experiments show that the proposed method is faster than competing Bayesian approaches and scales easily to millions of data points. It provides additional features over frequentist competitors such as accurate predictive uncertainty estimates and automatic hyperparameter search.

FOMO And The Adoption Of AI In Finance


Perceptions around AI in finance are changing, as skepticism gives way to Fear of Missing Out among value managers. Here Kris Longmore of Quantify Partners Pty Ltd looks at how the robots are changing the way we look for alpha. JP Morgan's recently released 280-page report Big Data and AI Strategies – Machine Learning and Alternative Data Approaches to Investing paints a picture of a future in which alpha is generated from data sources like social media, satellite imagery and machine-classified company filings and news releases. Get the entire 10-part series on Ray Dalio in PDF. Save it to your desktop, read it on your tablet, or email to your colleagues.

What can be uncovered when big data meets the blockchain


As defined by the World Economic Forum (WEF), "Blockchain technology allows parties to transfer assets to each other in a secure way without intermediaries. It enables transparency, immutable records, and autonomous execution of business rules." Investments in the blockchain are on the rise. Banks, private businesses, and even governments are investing in the technology. The WEF predicts that smart contracts alone on the blockchain could equal 10 percent of the global GDP by 2027.

The Nine AI Minds You Don't Know, But Should Follow ASAP


Mark Minevich is the principle founder of Going Global Ventures and venture partner of GVA Capital in Silicon Valley. While the public is becoming aware of the possibilities of artificial intelligence, I've been evangelizing, researching and working with it for years. As a fellow of the U.S. Council on Competitiveness, a senior advisor to the United Nations Office for Project Services, and a member of both the World Artificial Intelligence Organization and B20, I've been researching AI (and sharing what I learn) for years. Although AI buzz typically surrounds statements from famous minds like Stephen Hawking or Elon Musk – both of whom rightfully worry about granting sentience to machines that control our way of life -- there are plenty of worthy conversations being had on the subject. AI also represents cybersecurity's next evolution, both as a threat and a solution.

LINKEDIN SURVEY: Wall Streeters are worried that robots are going to steal their jobs


An engineer makes an adjustment to the robot "The Incredible Bionic Man" at the Smithsonian National Air and Space Museum in Washington October 17, 2013. The robots are coming for our jobs, and Wall Street is getting a little nervous. A recent survey of 1000 financial professionals conducted by LinkedIn, the networking site, found that 25% of Wall Streeters are worried their job could be jeopardized by automation. Retail bankers are the most fearful with a third of respondents saying they view automation as a threat, according to a report highlighting the survey's results. It stands to reason that some folks are nervous, as Wall Street firms look to automate their infrastructure to cut jobs.

Computer Scientists Demonstrate The Potential For Faking Video


An update from the Wild Wild West of fake news technologies: A team of computer scientists have figured out how to make words come out of the mouth of former President Barack Obama -- on video -- by using artificial intelligence. Soon we may see a wellspring of fake news videos. As a team out of the University of Washington explains in a new paper titled "Synthesizing Obama: Learning Lip Sync from Audio," they've made several fake videos of Obama. The researchers accomplished this feat not by cutting and pasting his body into different scenes -- but by having a computer system called a neural network study hours and hours of video footage, to see how Obama's mouth moves.

How IBM Watson AI Enhanced Wimbledon 2017 - Supply Chain 24/7


Helping Wimbledon in their pursuit of greatness For 28 years IBM has been the official supplier of Information Technology and consultant to the All England Club and The Championships, Wimbledon. By analysing millions of data points and thousands of pages of unstructured text you can understand, reason and learn what it takes to pursue greatness within a sporting arena. For a business wanting to understand how to deliver a great customer experience or differentiate their services they must look beyond pure historic structured data to the vast volumes of unstructured data created every day. IBM's cognitive and cloud solutions businesses can understand and respond to their customer needs in ways never possible before. This year IBM has used these technologies to determine what makes a great Wimbledon Champion (watch video above).