It must be tough being a politician. Even as far back as 380 BCE, the Greek philosopher Plato remarked "those who are too smart to engage in politics are punished by being governed by those who are dumber." The jokes -- at each successive political candidate's expense -- haven't stopped flowing since. Like any good race to the White House, the current campaign has seen a slew of witty, sarcastic, and yes, sometimes hurtful social media comments, memes, and jokes, leveled squarely at the 21 main runners. But which of these social media posts show a real hate for the politician in the virtual cross-hairs, and which suggest the author actually likes -- even loves -- the potential future POTUS?

Details of Google's DeepMind data-sharing agreement with the UK NHS revealed that the AI system would have access to millions of patient records. The agreement, according to the NHS, is for direct clinical use only. Google's deal with the National Health Service (NHS) will allow artificial intelligence units to access as many as 1.6 million private patient records, a new report has revealed. The data-sharing agreement, according to New Scientist, which first unmasked its true nature, would give Google's DeepMind unrestricted access to sensitive data that the Royal Free NHS Trust has. As early as 2014, Google has partnered with several scientists to understand human health.

The military is launching tests on the world's largest unmanned surface vessel. Dubbed the'Sea Hunter', the 132ft ship is designed to travel thousands of miles out at sea without a single crew member on board. Experts say the vessel has the potential to revolutionise not only the military's maritime service but also commercial shipping. The 132ft-long (40-metre) unarmed prototype, dubbed Sea Hunter, is the naval equivalent of Google's self-driving car, designed to cruise on the ocean's surface without a crew. The ship's projected 20 million ( 14.2 million) price tag and its 20,000 ( 14,300) daily operating cost make it relatively inexpensive for the navy The 132ft-long (40-metre) unarmed prototype, dubbed Sea Hunter, is the naval equivalent of Google's self-driving car, designed to cruise on the ocean's surface without a crew.

Intel announced last month that it is laying off 11 percent of its workforce. As sales of personal computers decline, the company plans to shift its business to cloud computing. Intel announced last month that it is laying off 11 percent of its workforce. As sales of personal computers decline, the company plans to shift its business to cloud computing. Intel was once known for its success in branding personal computers with microprocessors, a technology that fueled the digital revolution.

Network analysis offers a new set of techniques to tackle the persistent and growing problem of complex fraud. Network analysis supplements traditional techniques by providing a mechanism to bridge investigative and analytics methods. Beyond base visualization, network analysis provides a standardized platform for complex fraud pattern storage and retrieval, pattern discovery and detection, statistical analysis, and risk scoring. This article gives an overview of the main challenges and demonstrates a promising approach using a hands-on example. With swelling globalization, advanced digital communication technology, and international financial deregulation, fraud investigators face a daunting battle against increasingly sophisticated fraudsters.

Deep neural networks (DNNs) are capable of learning to identify shapes, so "we're on the right track in developing machines with a visual system and vocabulary as flexible and versatile as ours," say KU Leuven researchers. "For the first time, a dramatic increase in performance has been observed on object and scene categorization tasks, quickly reaching performance levels rivaling humans," they note in an open-access paper in PLOS Computational Biology. Categorization accuracy for models created by three DNNs (CaffeNet, VGG-19, and GoggLeNet) for three types of images (color, grayscaled, silhouette). For each type, mean human performance is indicated by a gray horizontal line, with the gray surrounding band depicting 95% confidence intervals. Error bars (vertical black lines) depict 95% confidence intervals.

Over the last two decades, California and the federal government have faced harsh criticism for failing to take stronger actions to stop a highly contagious disease that has killed millions of trees along coastal regions from Big Sur to portions of Oregon. Now, a new computer modeling study suggests that the "sudden oak death" epidemic, which emerged in 1995, has grown too big and is spreading too fast to eradicate statewide. The analysis is the first to integrate knowledge of the pathogen with topography, weather and resources like government budgets to predict the likely effects of various management strategies over such a large area -- in this case, California's 163,707 square miles of land. The results are somewhat hopeful: Because the epidemic's growth rate increases with its size, focusing on restoring and treating small, local forests is now the most practical and cost-effective option for managing the destructive fungus, Phtophthora ramorum. The findings were published Monday in the Proceedings of the National Academy of Sciences.

Capital One Financial is listed on the Fortune 500 and ranks as the 8th largest bank holding company in the U.S. with over 960 bank branches and 2000 ATMs. On February 16, 2016 Capital One hosted an internal "H2O Day" dedicated to helping team members find out how they can leverage H2O's leading machine learning technology. This video provides an overview of the day's events and goals. Hear more H2O Customer Stories: https://www.youtube.com/playlist?list... Subscribe to H2O.ai on YouTube to receive new video updates: https://www.youtube.com/user/0xdata

ANALYSIS: Ray Dalio, the founder of Bridgewater Associates, the largest hedge fund in the world, hired IBM's Watson programming team to incorporate artificial intelligence into the investment process. Later this year, I will be doing something similar, so stay tuned to learn more about this exciting endeavour. Today we have Jamie Wise from BUZZ Indexes based in Toronto who recently launched an Artificial Intelligence driven ETF based index fund BUZ (US). The investment process uses natural language processing software and artificial intelligence to scour the internet for tweets, blogs, and searches for company names. One of the most interesting things is that the software is able distinguish between someone typing Amazon when talking about a bad product they bought on line and AMZN and a bad outlook for the stock.

When you think of artificial intelligence, the first image that likely comes to mind is one of sentient robots that walk, talk and emote like humans. It's known as machine learning, and it revolves around enlisting computers in the task of sorting through the massive amounts of data that modern technology has allowed us to generate (a.k.a. One of the places machine learning is turning out to be the most beneficial is in the environmental sciences, which have generated huge amounts of information from monitoring Earth's various systems -- underground aquifers, the warming climate or animal migration, for example. A slew of projects have been popping up in this relatively new field, called computational sustainability, that combine data gathered about the environment with a computer's ability to discover trends and make predictions about the future of our planet. This is useful to scientists and policy-makers because it can help them develop plans for how to live and survive in our changing world.