The 2016 Summer Movie Preview is a snapshot of the films opening through early September. Release dates and other details, as compiled by Kevin Crust, are subject to change. The view of Earth from space and the information it reveals about humanity's effect on the planet are examined in this large-format science documentary. Business suddenly picks up for a London kosher baker when his young Muslim apprentice accidentally drops a stash of pot into the mixer. Written by Yehudah Jez Freedman and Jonathan Benson. The kidnapping of a beloved kitty forces two naive cousins to infiltrate a street gang. Written by Peele & Alex Rubens. In 1913 Cambridge, England, a young Indian math genius joins forces with an eccentric professor. Written and directed by Matthew Brown. Written by Lily Hollander, Anya Kochoff Romano. After an auto accident, a young woman finds herself in a life at odds with the one she remembers. Written by Doc Pedrolie and Victoria Arch. The famous writer's downward spiral is witnessed by a young reporter during the revolution. With Minka Kelly, Giovanni Ribisi, Joely Richardson, Adrian Sparks. A lonely lombax and a tiny robot team with the Galactic Rangers to save their world in this animated adventure.

Researchers from MIT's Computer Science and Artificial Laboratory (CSAIL) alongside machine learning-startup PatternEx have created a new cybersecurity defense system that makes use of both unsupervised and supervised learning methods. Human analysts are then presented with the data and given an opportunity to identify actual attacks, which are then fed back into the machine. The system learns and refines its accuracy over time. CSAIL research scientist Kalyan Veeramachaneni, one of AI,2's co-creators, described it this way: "The more attacks the system detects, the more analyst feedback it receives, which, in turn, improves the accuracy of future predictions. That human-machine interaction creates a beautiful, cascading effect."

Poachers have a new enemy: artificial intelligence. Scientists have developed an AI system that can continuously learn and adapt to illegal activities and help rangers move swiftly to protect endangered animals in the wild. Researchers are using artificial intelligence (AI) to solve increasing poaching activities, applying computer science and game theory to lead the innovation to outwit poachers in the wild. A team of scientists have successfully created an AI system that "learns" information and uses data to map out ranger patrols that are most effective in protecting endangered animals living in the wild. These ranger patrols are still the most direct wildlife protection methods against poachers.

Human patrols serve as the most direct form of protection of endangered animals, especially in large national parks. However, protection agencies have limited resources for patrols. With support from the National Science Foundation (NSF) and the Army Research Office, researchers are using artificial intelligence (AI) and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the U.S., Singapore, Netherlands and Malaysia. "In most parks, ranger patrols are poorly planned, reactive rather than pro-active, and habitual," according to Fei Fang, a Ph.D. candidate in the computer science department at the University of Southern California (USC). Fang is part of an NSF-funded team at USC led by Milind Tambe, professor of computer science and industrial and systems engineering and director of the Teamcore Research Group on Agents and Multiagent Systems.

Research funded by the National Science Foundation may have found an ingenious solution to poaching: applying game theory and computer science to real-life situations. One of the biggest factors in why there are so many endangered animals today is poaching – a centuries-old problem. The dwindling tiger population is one of the most glaring examples of this. Whether for sport, medicine, pelts or other body parts, poaching remains a huge threat to wildlife. Patrols have long been the most direct form of human intervention in wildlife protection.

A century ago, more than 60,000 tigers roamed the wild. Today, the worldwide estimate has dwindled to around 3,200. Poaching is one of the main drivers of this precipitous drop. Whether killed for skins, medicine or trophy hunting, humans have pushed tigers to near-extinction. The same applies to other large animal species like elephants and rhinoceros that play unique and crucial roles in the ecosystems where they live.

GAINESVILLE, FLORIDA – Wearing black headsets with tentacle-like sensors stretched over their foreheads, the competitors stared at cubes floating on computer screens as their small white drones prepared for takeoff. "Three, two, one … go!" the announcer hollered, and as the racers fixed their thoughts on pushing the cubes, the drones suddenly whirred, rose and buzzed through the air. Some struggled to move, while others zipped confidently across the finish line. The competition -- billed as the world's first drone race involving a brain-controlled interface -- involved 16 pilots using willpower to drive drones through a 10-yard (9.1-meter) dash over an indoor basketball court at the University of Florida on April 16. Organizers hope to make the event an annual intercollegiate spectacle, involving ever-more dynamic moves and challenges.

Artificial intelligence is being used to reduce poaching. Scientists have developed an AI system that uses – and learns from – information on where poaching is taking place to map out the most effective patrols for rangers seeking to protect wildlife. Thousands of animals are illegally killed every day for their skin, traditional medicines and trophy hunting. As a result, wild tiger populations have decreased 95% over the past 100 years, black rhinos have reduced by 98% since 1960, and more than 30,000 elephants are killed each year for their ivory. Human patrols are the most direct way to protect wildlife from poachers.

Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, but also deliver this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.

Today, inside the towering glass and steel Four Seasons Hotel in downtown Seoul, South Korea, Google will put the future of artificial intelligence to the test. At one o'clock in the afternoon local time, a digital Google creation will challenge one of the world's top players at the game of Go, the ancient Eastern pastime that's often compared to chess--though it's exponentially more complex. This Google machine is called AlphaGo, and to win, it must mimic not just the analytical skills of a human, but at least a bit of human intuition. Over the years, machines have topped the best humans at checkers, chess, Othello, Scrabble, Jeopardy!, and so many other contests of human intellect. But they haven't beat the very best at Go.