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US Army tests robot coyotes to prevent catastrophic bird strikes

FOX News

AI humanoid robots are stepping into showrooms to greet customers, explain features and pour coffee. Why settle for a regular robot when you can have a robot coyote? That's the innovative question the U.S. Army Engineer Research and Development Center (ERDC) is answering as it rolls out robot coyotes for airfield wildlife control. These cybernetic prairie predators are a creative solution to a very real problem. Sign up for my FREE CyberGuy Report Get my best tech tips, urgent security alerts and exclusive deals delivered straight to your inbox.


Man tests if Tesla on Autopilot will slam through foam wall (spoiler: it did)

Popular Science

It turns out Tesla's camera-vision-only approach to self-driving is no match for a Wile E. Coyote-style fake wall. Earlier this week, former NASA engineer and YouTuber Mark Rober posted a video where he tried to see if he could trick a Tesla Model Y using its Autopilot driver-assist function into driving through a Styrofoam wall disguised to look like part of the road in front of it. The Tesla hurls towards the wall at 40 mph and, rather than stopping, plows straight through it, leaving a giant hole. "It turns out my Tesla is less Road Runner, more Wile E. Coyote," Rober says as he inspects the damage on the front hood. The video, posted only a couple days ago, had racked up over 20 million views by Wednesday morning.


Computational Thought Experiments for a More Rigorous Philosophy and Science of the Mind

Oved, Iris, Krishnaswamy, Nikhil, Pustejovsky, James, Hartshorne, Joshua

arXiv.org Artificial Intelligence

We offer philosophical motivations for a method we call Virtual World Cognitive Science (VW CogSci), in which researchers use virtual embodied agents that are embedded in virtual worlds to explore questions in the field of Cognitive Science. We focus on questions about mental and linguistic representation and the ways that such computational modeling can add rigor to philosophical thought experiments, as well as the terminology used in the scientific study of such representations. We find that this method forces researchers to take a god's-eye view when describing dynamical relationships between entities in minds and entities in an environment in a way that eliminates the need for problematic talk of belief and concept types, such as the belief that cats are silly, and the concept CAT, while preserving belief and concept tokens in individual cognizers' minds. We conclude with some further key advantages of VW CogSci for the scientific study of mental and linguistic representation and for Cognitive Science more broadly.


Sylvester Stallone's daughters learned how to fight off a coyote, use pepper spray growing up: 'He is crazy'

FOX News

Sylvester Stallone wants his daughters, Sistine, Scarlet and Sophia, to be ready for anything. In new clips from the second season of their Paramount reality series, "The Family Stallone," Stallone spoke about his two eldest daughters, Sophia and Sistine, moving to New York, calling it "traumatic" as he recalled his own experiences with robbery, car accidents, and more. "Since you guys have moved to New York, it's made me very uneasy. You know I'm paranoid anyway because I have a responsibility as a father to do everything I can," he told them early in the episode. The girls then joked about him being "the most paranoid person on the planet," with the youngest daughter Scarlet saying "he is crazy!"


Without Driver, But With Coyotes: First Ride in a Cruise Robotaxi Through San Francisco

#artificialintelligence

Tuesday night was the night. I rode in one of Cruise's fleet of driverless robotaxis in San Francisco for the first time. Thanks to an Austrian friend who already had access to the Cruise app, we hopped into one of the driverless cars at around 11 p.m., went out for a few drinks, and then headed back in another Cruise robotaxi, again driverless. Here is the first video with some driverless Cruises we saw while waiting for ours. Also watch out for minute 7:56 to see the coyotes.


AI for wildlife management -- GCN

#artificialintelligence

With coyote attacks on humans in cities and suburbs making headlines – coyotes injured two people in Chicago earlier this month – officials could tap into a data repository to get a better handle on what's bringing the area's animals into such close proximity to humans. Called eMammal, the tool has been around for several years in one form or another and has helped researchers manage camera-trapping projects. It uses a data pipeline that takes images and metadata from the field through a cloud-based review processes and into SIdora, a Smithsonian Institution data repository. To date, eMammal has data on more than 1 million detections of wildlife worldwide, including in cities. Smithsonian researchers collaborated with others at the North Carolina Museum of Natural Sciences, Conservation International and the Wildlife Conservation Society to develop an open standard for camera trap metadata -- the Camera Trap Metadata Standard -- as part of the eMammal project. Camera traps are ruggedized cameras that researchers place in forests, jungles, grasslands, cities and elsewhere to capture images of mammals.


Army mini-explosive drones kill enemy drones

FOX News

Fox News Flash top headlines for Oct. 15 are here. Check out what's clicking on Foxnews.com They can form swarms of hundreds of mini, precision-guided explosives, overwhelm radar or simply blanket an area with targeting sensors. They can paint or light up air, ground or sea targets for enemy fighters, missiles or armored vehicles, massively increasing warzone vulnerability. The can instantly emerge from behind mountains to fire missiles at Army convoys, infantry on the move or even mechanized armored columns.


AI, Live Video And Your Smartphone Camera

#artificialintelligence

Badri is the Senior Vice President, Technology at Vonage - Video Engineering. As I speak with business leaders from around the world, I'm continually surprised by two important realities that seem to go unnoticed and that are poised to transform the way companies engage with their customers. First, while artificial intelligence (AI) remains a buzzword, many people are still unaware of how advanced algorithms have become. We're not talking about a collaborative filtering algorithm that predicts which Netflix shows you'll want to watch next. Today's algorithms are able to mimic human decision-making on tasks as complex as composing music and predicting what topics are of interest to your Congressional representatives.


Artificial Intelligence and the Rumsfeld Test - UC Berkeley Sutardja Center

#artificialintelligence

"But there are also unknown unknowns – the ones we don't know we don't know." An artificial intelligence strategy is the corporate equivalent of your spleen: everyone has one, but not everyone understands quite what it will accomplish. There are bold plans afoot everywhere in the world of AI to be sure, but its reality is still distant from the vision of artificial general intelligence (AGI) – i.e., machines displaying intelligence equivalent to the natural intelligence of humans – of popular imagination. Investors in particular need a sober and realistic view of what's achievable in the field of machine learning-driven AI today, versus what promises nothing more than a waste of time and money. There are many business problems that map to the attributes above. The key to success in AI is to focus on these classes of practical problems and solutions.


Essential California: The future of self-driving cars

Los Angeles Times

It is Monday, July 4. Celebrate Independence Day with a fireworks display. Here's what else is happening in the Golden State: For the men and women who lived through the Dec. 2 terrorist attack in San Bernardino, there is no closure. Fighting off the horror of that event is a daily struggle, they say. "They were living through their own trauma of a terrorist attack when another one, in Orlando, brought back fresh memories of the bloodshed they endured. And the world's attention shifted again."