Wearing black headsets with tentacle-like sensors stretched over their foreheads, the competitors stare at cubes floating on computer screens as their small white drones prepare for takeoff. Some struggle to move even a few feet, while others zip confidently across the finish line. Competitors in the Florida race use specially programmed headbands to monitor their brainwaves - moving the drone when they will it to happen. The EEG headset is calibrated to identify the electrical activity associated with particular thoughts in each wearer's brain -- recording, for example, where neurons fire when the wearer imagines pushing a chair across the floor. Programmers write code to translate these'imaginary motion' signals into commands that computers send to the drones.

As the world celebrated Earth Day on Friday, a team led by an Indian-origin researcher has found a way to use artificial intelligence (AI) to protect the Earth's endangered animals and forests by outwitting poachers with technology. With support from the US National Science Foundation (NSF) and the US Army Research Office, researchers are using AI and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the US, Singapore, the Netherlands and Malaysia. "This research is a step in demonstrating that AI can have a really significant positive impact on society and allow us to assist humanity in solving some of the major challenges we face," said Milind Tambe, professor of computer science and industrial and systems engineering at the University of Southern California (USC). "In most parks, ranger patrols are poorly planned, reactive rather than pro-active and habitual," said Fei Fang, PhD candidate from the University of Southern California (USC). Fang is part of an NSF-funded team at USC led by Tambe who is also director of the Teamcore Research Group on Agents and Multiagent Systems.

Researchers are now using AI, game theory and big data to protect wildlife and forests around the world, as technology finally catches up with poachers. The fight against poaching has proven very difficult in the past century, that's despite the advances in technology that have littered conservationism in that time. However, that could all be about to change thanks to a bit of clever thinking, with game theory and big data combining to arm park rangers with the necessary tools to fight back. The problem for park rangers is often scale, far too much land is monitored, on foot, by far too few. This means poachers have a relatively free reign, knowing the odds of the park ranger being at the right place, at the right time, is slim.

As the world celebrated Earth Day on Friday, a team led by an Indian-origin researcher has found a way to use artificial intelligence (AI) to protect the Earth's endangered animals and forests by outwitting poachers with technology. With support from the US National Science Foundation (NSF) and the US Army Research Office, researchers are using AI and game theory to solve poaching, illegal logging and other problems worldwide, in collaboration with researchers and conservationists in the US, Singapore, the Netherlands and Malaysia. "This research is a step in demonstrating that AI can have a really significant positive impact on society and allow us to assist humanity in solving some of the major challenges we face," said Milind Tambe, professor of computer science and industrial and systems engineering at the University of Southern California (USC). "In most parks, ranger patrols are poorly planned, reactive rather than pro-active and habitual," said Fei Fang, PhD candidate from the University of Southern California (USC). Fang is part of an NSF-funded team at USC led by Tambe who is also director of the Teamcore Research Group on Agents and Multiagent Systems.

Wearing black headsets with tentacle-like sensors stretched over their foreheads, the competitors stare at cubes floating on computer screens as their small white drones prepare for takeoff. Some struggle to move even a few feet, while others zip confidently across the finish line. The competition -- billed as the world's first drone race involving a brain-controlled interface -- involved 16 pilots who used their willpower to drive drones through a 10-yard dash over an indoor basketball court at the University of Florida this past weekend. The Associated Press was there to record the event, which was sponsored with research funding from Intel Corp. Organizers want to make it an annual inter-collegiate spectacle, involving ever-more dynamic moves and challenges, and a trophy that puts the brain on a pedestal. "With events like this, we're popularizing the use of BCI instead of it being stuck in the research lab," said Chris Crawford, a Florida PhD student in human-centered computing. "BCI was a technology that was geared specifically for medical purposes, and in order to expand this to the general public, we actually have to embrace these consumer brand devices and push them to the limit."

Wearing black headsets with tentacle-like sensors stretched over their foreheads, the competitors stare at cubes floating on computer screens as their small white drones prepare for takeoff. Some struggle to move even a few feet, while others zip confidently across the finish line. The competition -- billed as the world's first drone race involving a brain-controlled interface -- involved 16 pilots who used their willpower to drive drones through a 10-yard dash over an indoor basketball court at the University of Florida this past weekend. The Associated Press was there to record the event, which was sponsored with research funding from Intel Corp. Organizers want to make it an annual inter-collegiate spectacle, involving ever-more dynamic moves and challenges, and a trophy that puts the brain on a pedestal. "With events like this, we're popularizing the use of BCI instead of it being stuck in the research lab," said Chris Crawford, a Florida PhD student in human-centered computing.

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.

BigML is a leading Machine Learning company that helps other businesses make highly automated, data-driven decisions. BigML was founded in 2011 in Corvallis, OR, USA and made its European expansion official by opening its European headquarters in Valencia, Spain in July 2015. The company has pioneered the Machine Learning as a Service (MLAAS) wave of innovation through its consumable, programmable, and scalable software platform streamlining the creation and deployment of smart applications powered by state-of-the-art predictive models. To date, BigML has 15 patent applications, more than 25,000 customers from 120 countries and 5M in venture capital investment. In addition to commercial activities, BigML is playing an active role in promoting Machine Learning in education around the world through its rapidly expanding ambassador program thanks to active participation from top universities in diverse geographies such as North America, Europe and Africa, making real BigML's motto: "Machine Learning made beautifully simple for everyone".

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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.