Poaching is considered a major driver for the population drop of key species such as tigers, elephants, and rhinos, which can be detrimental to whole ecosystems. While conducting foot patrols is the most commonly used approach in many countries to prevent poaching, such patrols often do not make the best use of the limited patrolling resources.

How to Cut Cake Fairly.

Objective: In this work, we perform margin assessment of human breast tissue from optical coherence tomography (OCT) images using deep neural networks (DNNs). This work simulates an intraoperative setting for breast cancer lumpectomy. Methods: To train the DNNs, we use both the state-of-the-art methods (Weight Decay and DropOut) and a newly introduced regularization method based on function norms. Commonly used methods can fail when only a small database is available. The use of a function norm introduces a direct control over the complexity of the function with the aim of diminishing the risk of overfitting. Results: As neither the code nor the data of previous results are publicly available, the obtained results are compared with reported results in the literature for a conservative comparison. Moreover, our method is applied to locally collected data on several data configurations. The reported results are the average over the different trials. Conclusion: The experimental results show that the use of DNNs yields significantly better results than other techniques when evaluated in terms of sensitivity, specificity, F1 score, G-mean and Matthews correlation coefficient. Function norm regularization yielded higher and more robust results than competing methods. Significance: We have demonstrated a system that shows high promise for (partially) automated margin assessment of human breast tissue, Equal error rate (EER) is reduced from approximately 12\% (the lowest reported in the literature) to 5\%\,--\,a 58\% reduction. The method is computationally feasible for intraoperative application (less than 2 seconds per image).

When you examine the lives of history's most creative figures, you are immediately confronted with a paradox: They organize their lives around their work, but not their days. Figures as different as Charles Dickens, Henri Poincaré, and Ingmar Bergman, working in disparate fields in different times, all shared a passion for their work, a terrific ambition to succeed, and an almost superhuman capacity to focus. Yet when you look closely at their daily lives, they only spent a few hours a day doing what we would recognize as their most important work. The rest of the time, they were hiking mountains, taking naps, going on walks with friends, or just sitting and thinking. Their creativity and productivity, in other words, were not the result of endless hours of toil. Their towering creative achievements result from modest "working" hours. How did they manage to be so accomplished? Can a generation raised to believe that 80-hour workweeks are necessary for success learn something from the lives of the people who laid the foundations of chaos theory and topology or wrote Great Expectations? If some of history's greatest figures didn't put in immensely long hours, maybe the key to unlocking the secret of their creativity lies in understanding not just how they labored but how they rested, and how the two relate. Let's start by looking at the lives of two figures. They were both very accomplished in their fields.

Last month, Mark Clattenburg, who is generally regarded as one of the finest referees in professional soccer, left England's Premier League for a better-paying position in Saudi Arabia. Plenty of famous players have chosen riches over prestige and joined less established leagues in Asia and the Middle East. But this was one of the first times that a referee of Clattenburg's stature and prominence had left in his prime. Just last year, he was selected to referee two of the most important matches on Earth: the finals of the Champions League, in May, and then the European Championship, two months later--plum gigs that testified to his skill. To commemorate the occasion, he had the feat tattooed on his arm--a testament to his knack for preening.

In 1971, Terry Winograd wrote the SHRDLU program while completing his PhD at MIT. SHRDLU features a world of toy blocks where the computer translates human commands into physical actions, such as "move the red pyramid next to the blue cube." To succeed in such tasks, the computer must build up semantic knowledge iteratively, a process Winograd discovered was brittle and limited. The rise of chatbots and voice activated technologies has renewed fervor in natural language processing (NLP) and natural language understanding (NLU) techniques that can produce satisfying human-computer dialogs. Unfortunately, academic breakthroughs have not yet translated to improved user experiences, with Gizmodo writer Darren Orf declaring Messenger chatbots "frustrating and useless" and Facebook admitting a 70% failure rate for their highly anticipated conversational assistant M. Nevertheless, researchers forge ahead with new plans of attack, occasionally revisiting the same tactics and principles Winograd tried in the 70s. OpenAI recently leveraged reinforcement learning to teach to agents to design their own language by "dropping them into a set of simple worlds, giving them the ability to communicate, and then giving them goals that can be best achieved by communicating with other agents."

It's clear that artificial intelligence (AI) is already one of the defining trends in fintech in 2017 and an increasingly popular buzz word in the industry. Businesses are gradually understanding the importance and benefits of machine-learning technology. Self-made billionaire Mark Cuban has boldly claimed that the "the world's first trillionaire will be an AI entrepreneur." He goes on to say that faster computer processers and large data sets have the ability to push AI into a wealth of industries and services. We have access to more data today than ever before, and with the increase of solution-finding apps that help consumers find patterns in their habits, businesses and start-ups, the bars are now high for the fintech industry.

America's biggest tech companies are remaking the internet through artificial intelligence. And more than ever, these companies are looking north to Canada for the ideas that will advance AI itself. This morning, Google announced it's starting an AI lab in Toronto. At the same time it's helping to fund a public-private partnership with the University of Toronto to develop and commercialize AI talent and ideas. In November, the company made a similar move in Montreal--a city that has also attracted Microsoft's attention.

On the roster: Trump's re-election bid collides with policy problems - Witness: Russians targeted Rubio - Report: Trump aides told Nunes what Nunes told Trump - I'll Tell You What: Kidding, not kidding - Paging Tara Reid TRUMP'S RE-ELECTION BID COLLIDES WITH POLICY PROBLEMS It's too soon to say how President Trump's agenda will fair, but we do know his re-election bid is in trouble. That may sound preposterous to say in the 10th week of an administration, but here we are. Trump, who filed for re-election before he took office, is getting a boost from his most important donors, hedge-fund tycoon Robert Mercer and his family. It comes in the form of a $1.3 million ad blitz targeted at swing states as well as states represented by vulnerable Democratic senators. Trump is doing his part by renewing his war with his fellow Republicans, blasting House conservatives for defeating his health-insurance overhaul last week.

The Japanese government Friday eased evacuation orders for towns not seriously contaminated by the 2011 Fukushima Daiichi nuclear power plant disaster. The government lifted evacuation orders for parts of Kawamata, Namie and Iitate, Kyodo News reported. The order also frees a large part of Tomioka on Saturday. The action reduces the evacuation zones by two-thirds but it was unclear whether residents actually would return to their homes because of radiation fears and a lack of amenities like schools. The most seriously contaminated areas remain off-limits.