What if a machine helped you make a dinner reservation? Quarles said AI helps optimize the search results when you want to make a reservation. For data compilation, OpenTable sees mobile devices as a big driver -- it's a rich data set to improve AI. "People don't want to spend more than two or three minutes [making a reservation], and they want to be confident they made the right decision," she said, suggesting that this large data set can make AI better and improve the results of search and the reservations.
A drone flying over a Florida beach Saturday caught on camera a struggle between a fisherman and a massive hammerhead shark. Curtis Williams, a drone operator, captured the shark fighting against the man. At certain points in the video, the man can be seen just inches away from the massive shark as a crowd gathers around. The Florida Fish and Wildlife Commission urges fishermen to "minimize fight time" with prohibited sharks by using a certain kind of tackle that helps to release the sharks.
A fisherman got one magnificent catch during the Fourth of July weekend when he reeled in a massive hammerhead shark off Florida's Panama City Beach -- and it was all captured in a drone video. Curtis Williams was flying his drone over Panama City Beach on Saturday when he saw the fisherman attempting to capture the shark. "Vacationing at beach and was going to video a nice pleasant sunset. The unidentified fisherman later released the shark back into the ocean.
Just as automation and machine learning have given internet companies detailed records and predictions of how users behave online, they can potentially enable scientists and government agencies to build similarly detailed models of the world's fisheries. "Today it's estimated that what's called illegal, unreported, and unregulated fishing costs the region between a half billion dollars and $1.5 billion a year," Zimring says. The Nature Conservancy is working with governments in the region, including in Palau, Micronesia, the Marshall Islands, and the Solomon Islands, to implement alternative monitoring programs, capturing video footage of fishing vessels instead of placing observers on each boat. To make analyzing the footage more feasible, The Nature Conservancy is investigating ways to use machine learning techniques to process that video material.
Deep learning models, trained by using a large set of labeled data and neural network architectures that contain many layers, routinely achieve impressive accuracy. The article explains how Neurala's technology will assist Air Shepherd's analysts in identifying animals, poachers, and vehicles from the terabytes of data created by the drones' video feeds. BeeScanning is a smartphone app that uses deep learning to analyze images of bee colonies to determine if they are infected by varroa mites. The Nature Conservancy's Indonesia Fisheries program is working with 2 technology companies that use machine learning to sort and recycle cell phones to develop a prototype, called Fishface, that applies this same technology to species identification for fish.
Andrew Merrie, a sustainability scientist at the Stockholm University's Resilience Centre, thinks science fiction can succeed in attracting attention where scientific papers have failed. "There's no easy entry point to scientific papers," says Merrie. It's a pretty Silicon Valley-esque strategy: using science fiction to get a handle on the implications of future technologies, social structures, or (in this case) environmental conditions. For Merrie and the Stockholm Resilience Centre, they hope their narratives and images will help people understand the implications of letting the ocean get all radioactive green and steamy.
An autonomous sail boat collects ocean data in the Dutch Harbor, Alaska. Therefore, ocean data is regularly collected by government agencies, research scientists, and private companies. Jenkins, on the other hand, had spent ten years developing wing technology that he used to sail at 126.1 mph, beating the world record for wind-powered land speed. According to de Halleux, "Different countries all have the same problems: fishery management, environmental monitoring, and climate prediction."
The tool -- Global Fishing Watch -- was unveiled during the U.S. State Department's Our Ocean Conference by Hollywood actor and environmentalist Leonardo DiCaprio, whose foundation is its main backer. According to Google, the Indonesian government has already committed to make its Vessel Monitoring System public through Global Fishing Watch next year, while the United Nations' Food and Agriculture Organization has agreed to collaborate on new research methodologies for reporting fishing statistics. "Global Fishing Watch was not possible five years ago. "Today, Global Fishing Watch is an early preview of what is possible.