In the battle between commercial truck drivers and kamikaze civilians on U.S. highways, the civilians have a handy weapon. In many fleets, there’s a 1-800 number on the rear flank of commercial trucks, along with a unique ID. For many a soccer mom or dojo dad, that “How’s my driving?” hotline is the ultimate equalizer.
Pretty soon, drones may have something similar. That’s thanks to a collaboration between Santa Monica-based aerospace company AirMap, Google Wing, and Kittyhawk.io, who are demonstrating a remote ID application for commercial drones, one that could be available to civilians via an AR app.
“Before such wide-scale drone operations as autonomous deliveries can take place, we need to ensure that regulators – and the public – can easily assess whether or not a particular drone belongs to a good actor or requires intervention,” explains Ben Marcus, Co-Founder and Chairman of AirMap. “Network-based remote identification applications like AirMap’s Drone Aware, augmented by local broadcast solutions when available, help airspace managers enforce aviation regulations while cultivating public trust in drone and also protecting the privacy of drone operators.”
AirMap’s identification solution integrates with the Low Altitude Authorization and Notification Capability (LAANC), an ongoing collaboration between FAA and Industry that’s supposed to act as a sort of air traffic control for commercial drones. The remote ID application is also integrated with the InterUSS Platform, an open API used for separate USSs to communicate with each other during drone operations.
Delivery drones are taking off in Europe and around the world. While adoption has been far slower in the U.S. due to strict beyond visual line of sight restrictions placed by the FAA, the age of the commercial drone is nigh.
A large part of the challenge moving ahead with commercial drone operations over populated areas concerns transparency and accountability. It can be disconcerting to see an unmanned vehicle whiz overhead. Enforcement from the ground will also require the ability to identify drones in the sky, much like a police officer or well-placed CCTV camera can log a car’s license plate.
In a recent demonstration, bystanders were able to identify the drones flying overhead quickly and easily, demonstrating the efficacy of the network-based ID solution. They simply pointed a smartphone towards the drone to capture its exact location, identity, and telemetry, all in real-time.
Powered by WPeMatico
If you get a little freaked out when a drone flies overhead or — especially — close by, you are not alone: So do American black bears (Ursus americanus), according to a study published by researchers in 2015. They determined that, even though drones can be advantageous for research, conservation, aerial photography, animal population estimates and even to deter poaching of certain species, understanding how animals respond to drones is equally important.
Now those same researchers have followed up their 2015 research with a study published Jan. 15, 2019, in the journal Conservation Physiology that shows over time, bears do adapt to the presence of drones, or unmanned aircraft systems (UAS). The findings are important, researchers say, because drones are increasingly used in animal behavior research, as well as anti-poaching tools. Drones are also another consequence of Anthropocene, the proposed period spotlighting when Homo sapiens started having a significant impact on the planet.
“The popularity of unmanned aircraft systems among recreationalists, researchers and conservationists has increased tremendously in recent years and represents a new potential stress to wildlife,” the study notes.
The research, led by wildlife ecologist Mark Ditmer, took place at a 372-square-meter (4,004-square-feet) fenced-in facility maintained by the Wildlife Science Center in east-central Minnesota. Ditmer and company tested the effects of a small drone — less than 2 feet (.6 meters) in length — on five captive American black bears at the center.
The drone flights were performed near the bears five times a day, twice a week, over the course of four weeks. Researchers monitored the bears’ heart rates using cardiac biologgers. The study was paused for 118 days, then resumed to measure whether the bears’ tolerance for the drones still existed.
According to the findings, while the bears showed strong heart rate elevation in response to the first drone flights overhead, their responses consistently diminished over time. The bears were considered “habituated to UAS” by the third week of the study. When researchers picked up the flights again several months later, the bears in the study were still mostly unmoved by drone presence.
However, the researchers offered several cautions:
“It’s important to note that the individual bears in this study did show a stress response to the initial drone flights,” Ditmer said in a press statement. “Close-proximity drone flights near wildlife should be avoided without a valid purpose. However, our findings do show that drone use in conservation, for things such as anti-poaching patrols, can provide benefits without long-term high-stress consequences.”
Acclimatization to mechanical noises like drones can reduce animals wariness to human threats, the study suggests. And even though the bears’ cardiac effects diminished, frequent disturbances from drones could cause other chronic physiological effects the study didn’t measure.
Finally, the study, which included just American black bears, says if and how fast other wild and captive animals adapt to drones could be different. The captive bears at the center were already accustomed to regular exposure to humans and mechanical noises “that may have hastened their habituation to the UAS.”
Powered by WPeMatico
Have you ever held 19 shopping bags in hand and the only thing stopping you from one single uninterrupted trip from the car to the kitchen was having to put all the bags down to unlock your door?
Well fear no more, one manly stare at a smart lock may prevent you from failing the one-gliding move grocery challenge or requiring the assistance of someone to unlock it for you.
There are two flavors of this, the non-facial recognition does password, remote control, fingerprint scanning, physical key, and key fob. The facial recognition drops the fingerprint for palm print, and additionally does facial recognition.
Both have cameras, so presumably there’s a “who’s been knocking at my door” feature..
You can store up to 100 faces and palms (not seeing if that’s combined or separate,) which puts this in a small business class category. It can’t be fooled by videos or by photos, and the PR contact I’ve got tends to indicate that a wax version of your face won’t work (probably due to the dual 3d cameras).
I mean who here hasn’t been knocked out by the CIA and a wax face been created while they slept?
Should your WiFi fail, your face not be recognized, the battery die, there’s always the keys that come with it that you lost didn’t you? Did you check under the door mat? There you go.
And I gotta run and grab my kiddo so images later…[Kickstarter]
Powered by WPeMatico
In this episode of the Data Show, I spoke with Maryam Jahanshahi, research scientist at TapRecruit, a startup that uses machine learning and analytics to help companies recruit more effectively. In an upcoming survey, we found that a “skills gap” or “lack of skilled people” was one of the main bottlenecks holding back adoption of AI technologies. Many companies are exploring a variety of internal and external programs to train staff on new tools and processes. The other route is to hire new talent. But recent reports suggest that demand for data professionals is strong and competition for experienced talent is fierce. Jahanshahi and her team are building natural language and statistical tools that can help companies improve their ability to attract and retain talent across many key areas.
Here are some highlights from our conversation:
Optimal job titles
The conventional wisdom in our field has always been that you want to optimize for “the number of good candidates” divided by “the number of total candidates.” … The thinking is that one of the ways in which you get a good signal-to-noise ratio is if you advertise for a more senior role. … In fact, we found the number of qualified applicants was lower for the senior data scientist role.
… We saw from some of our behavioral experiments that people were feeling like that was too senior a role for them to apply to. What we would call the “confidence gap” was kicking in at that point. It’s a pretty well-known phenomena that there are different groups of the population that are less confident. This has been best characterized in terms of gender. It’s the idea that most women only apply for jobs when they meet 100% of the qualifications versus most men will apply even with 60% of the qualifications. That was actually manifesting.
We saw a lot of big companies that would offer 401(k), that would offer health insurance or family leave, but wouldn’t mention those benefits in the job descriptions. This had an impact on how candidates perceived these companies. Even though it’s implied that Coca-Cola is probably going to give you 401(k) and health insurance, not mentioning it changes the way you think of that job.
… So, don’t forget the things that really should be there. Even the boring stuff really matters for most candidates. You’d think it would only matter for older candidates, but, actually, millennials and everyone in every age group are very concerned about these things because it’s not specifically about the 401(k) plan; it’s about what it implies in terms of the company—that the company is going to take care of you, is going to give you leave, is going to provide a good workplace.
We found the best way to deal with representation at the end of the process is actually to deal with representation early in the process. What I mean by that is having a robust or a healthy candidate pool at the start of the process. We found for data scientist roles, that was about having 100 candidates apply for your job.
… If we’re not getting to the point where we can attract 100 applicants, we’ll take a look at that job description. We’ll see what’s wrong with it and what could be turning off candidates; it could be that you’re not syndicating the job description well, it’s not getting into search results, or it could be that it’s actually turning off a lot of people. You could be asking for too many qualifications, and that turns off a lot of people. … Sometimes it involves taking a step back and taking a look at what we’re doing in this process that’s not helping us and that’s starving us of candidates.
Powered by WPeMatico
- Cory Doctorow at Grand Reopening of the Public Domain — Locke was a thinkfluencer. No transcript yet, but audio ripped on the Internet Archive.
- Libre Silicon — We develop a free and open source semiconductor manufacturing process standard and provide a quick, easy, and inexpensive way for manufacturing. No NDAs will be required anywhere to get started, making it possible to build the designs in your basement if you wish. We are aiming to revolutionize the market by breaking through the monopoly of proprietary closed-source manufacturers.
- Predicting Visual Discomfort with Stereo Displays — In a third experiment, we measured phoria and the zone of clear single binocular vision, which are clinical measurements commonly associated with correcting refractive error. Those measurements predicted susceptibility to discomfort in the first two experiments. A simple predictor of whether and when you’re going to puke with an AR/VR headset would be a wonderful thing. Perception of synthetic realities are weird: a friend told me about encountering a bug in a VR renderer that made him immediately (a) fall over, and (b) puke. Core dumped?
- A New Circular Vision for Electronics (World Economic Forum) — getting coverage because it says: Each year, close to 50 million tonnes of electronic and electrical waste (e-waste) are produced, equivalent in weight to all commercial aircraft ever built; only 20% is formally recycled. If nothing is done, the amount of waste will more than double by 2050, to 120 million tonnes annually. […] That same e-waste represents a huge opportunity. The material value alone is worth $62.5 billion (€55 billion), three times more than the annual output of the world’s silver mines and more than the GDP of most countries. There is 100 times more gold in a tonne of mobile phones than in a tonne of gold ore. (via Slashdot)
Powered by WPeMatico