If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Here's a look at industry specific companies that utilise various forms of artificial intelligence to solve some really interesting and particular problems for different markets. If you want to be included in any of the list don't forget to comment below. If you use Apple News or similar simple visit the site on a web browser to make comments. Imagia -- helps detect changes in cancer early Kuznech -- computer vision products range Lunit Inc. -- a range of medical imaging software Zebra Medical Vision -- medical imaging to help physicians and practitioners Aerial Achron -- automated UAV operations Airware -- drones for industrial purposes Alive.ai Developers, Studios and Consultants (only a few listed) Aitia Amplify Applied AI Blindspot Solutions Cogent Crossing Minds DSP Expert Systems Explosion Minds.ai
MONTREAL, QUEBEC – China's DJI, the world's largest commercial drone maker, said on Wednesday it is developing technology that would allow the public to track the registrations of drones in flight using just a smartphone, amid a broader industry push to make such data available. SZ DJI Technology Co. Ltd. aims to roll out a free app in 2020, pending regulatory approval, that would allow its users for the first time to identify any modern drone with a phone, company executives told Reuters. The push for remote identification technology comes amid regulatory calls for greater oversight of drone flight, on fears that untraceable, unmanned aircraft could be used for spying or accidentally disrupt commercial flights. DJI, which has an estimated 70 percent market share according to industry analysts, demonstrated its drone-to-phone transmission app at the United Nations aviation agency's Drone Enable conference in Montreal. "We've created a remote identification solution that works with what people already have," said Brendan Schulman, vice president of policy and legal affairs at DJI.
Drones are one of the coolest technologies every maker and enthusiast wants to lay their hands on. At the same time as drones are becoming common, AI is rapidly advancing and we are now in a state where object detection and semantic segmentation are possible right onboard the drone. In this blog post, I will share how to perform object detection on images taken by a drone. Any decent object detection model trained the Stanford dataset should do a good job of detecting these six objects. In this post, we will be using RetinaNet, a very good object detection model released by Facebook (FAIR), which shapes the loss function in such a way that the model learns to focus on hard examples during training and thus learns much better.
There is no question that Artificial Intelligence is a transformative technology – so much so that we can't even begin to imagine the impact it will have in the next five, ten, or even twenty years. At the same time, AI is already being used in innovative and unexpected ways across a variety of industries. Bees perform an important ecological function, especially for farmers who rely on pollination to germinate crops. As the bee population continues to decline, scientists have looked for ways to mimic the important work that the insects do – and one solution they've found is to create robot bees (robot drones to replace real drones!) that are equipped with cameras, GPS, and Artificial Intelligence. This potent combination of hardware and software allows these robots to determine where crops are located, and pollinate them accordingly.
Between 2013 and 2016, U.S. farmers and ranchers weathered a 45% dip in net farm income -- the largest since the Great Depression -- while the number of mouths to feed grew sharply by the day. The global population is expected to increase by 2.2 billion by 2050, and the world's farmers will have to grow about 70% more food than is now produced. If you ask Microsoft, the solution lies in technology. The tech giant's FarmBeats program, which launched in preview today on Azure Marketplace ahead of Ignite 2019, is a multi-year effort to bring robust data analytics to the agriculture sector. With a backend built on Azure and compatibility with hardware from a range of top manufacturers, it aims to promote what Ranveer Chandra, FarmBeats project lead and chief scientist at Azure Global, calls "data-driven" farming techniques.
Nvidia has topped an independent AI Inference benchmarking test called MLPerf. The test measures AI performance in data-centres and at the edge (on your phone, in robots, etc.) in several categories, all of which Nvidia managed to top. Much like children, AI needs to be taught to do things before it's allowed into the wild. This is done by first training an AI model in a supercomputer, where it is brought up on a diet of data. The idea is that the AI munches through this data and figures out how to deduce information from it, in other words, the AI learns to infer.
This research spans academia, militaries (though it can be difficult to suss out the actual breakthroughs from government propaganda), and private enterprise. Perhaps the most well known privately-owned robotics developer is Boston Dynamics, makers of the Atlas. You may remember this bipedal robot from September when it showed off its uncanny parkour abilities, which the robot can pull off 80 percent of the time. The Atlas is able to move so fluidly thanks to a novel optimization algorithm that breaks down complex movements into smaller reference motions for its arms, torso, and legs. However, while Boston Dynamics' Big Dog was developed as a quadrupedal cargo carrier for military operations, the Atlas is strictly for use as an emergency first responder.
US Defense Secretary Mark Esper warned during a speech on artificial intelligence at the National Security Commission on Artificial Intelligence public conference Tuesday (Nov. "Beijing has made it abundantly clear that it intends to be the world leader in AI by 2030," Esper said. "While the US faces a mighty task in transitioning the world's most advanced military to new AI-enabled systems, China believes it can leapfrog our current technology and go straight to the next generation." Middle East countries banned from purchasing advanced US drones due to a weapons embargo are increasingly gravitating towards Chinese defense manufacturers. The drone sales are supporting China's expansion across the Middle East, which is home to many strategic US military bases, as well as, future and current routes for Beijing's Belt and Road Initiative.
Ayatollah Khamenei doubles down on Iran's commitment not to engage in talks with the United States; Trey Yingst reports. The drone was reportedly hit in the early morning at the port city of Mahshahr, which is in the oil-rich Khuzestan province and lies on the Persian Gulf. "The downed droned definitely belonged to a foreign country. Its wreckage has been recovered and is being investigated," the governor of Khuzestan, Gholamreza Shariati, said, according to the official IRNA news agency. He said the drone violated Iran's airspace but did not provide any additional information, including whether it was a military or civilian drone.
The UK government has approved £2 million ($2.57 million) worth of funding for 18 projects that will develop anti-drone and drone detection technologies. The funding comes part of a competition held by the Defence and Security Accelerator (DASA) program under the UK's Ministry of Defence (MOD). MOD officials approved funding earlier this year, in April, after a series of amateur drone incursions froze air travel at several airports across the UK. Infamous is a three-day incident at the Gatwick Airport in London just before Christmas last year, and another day of flight cancellations in January, at Heathrow, London, one of the world's largest airports. In April, MOD, through DASA, asked the private sector for solutions to detect and neutralize "small UAS (unmanned aerial system) threats."