Lifeboat Foundation

https://youtube.com/watch?v=3ALwgeCGvlw

Mobile World Congress this past February included the unveiling of several notable smartphones like the Nokia 9 PureView and LG G8. However, one device got an inordinate amount of attention — the Energizer Power Max P18K Pop. Hiding behind that clunky name was a phone with a gigantic 18,000 mAh battery. This brick of a phone ended up on Indiegogo, and despite all the hype, it flopped. Hard. Of the anticipated $1.2 million, the phone only pulled in pre-orders worth $15,005 — just 1 percent of the required funding.

The Energizer Power Max P18K Pop is not actually a product of the battery manufacturer. The Energizer name is merely licensed by Avenir Telecom, a French manufacturer of phones, cables, and other accessories. It has produced other Energizer phones in the past, but none of them sparked the same combination of fascination and amusement.

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I loved the Thundercats cartoon as a child, watching cat-like humanoids fighting the forces of evil. Whenever their leader was in trouble, he’d unleash the Sword of Omens to gain “sight beyond sight,” the ability to see events happening at faraway places, or bellow “Thunder, Thunder, Thunder, Thundercats, Hooo!” to instantaneously summon his allies to his location to join the fight. What kid didn’t want those superpowers?

I also wanted Green Lantern’s ring, Wonder Woman’s bracelets, Captain America’s shield, and, of course, Batman’s batsuit. I never imagined then that 30 years later, as National Superhero Day approaches, I’d be designing components of my own supersuits.

I didn’t really notice this until a few months ago. On that day, my childhood dreams were at once destroyed and fulfilled. Standing in a line, I noticed that everyone was focused on their smartphones’ screens. Suddenly it hit me: I already had Sword of Omens superpowers. With my smartphone, I can see video of faraway events and text my friends to meet up. Billions of people now have what used to be considered superpowers.

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Southwest Research Institute has developed a cyber security system to test for vulnerabilities in automated vehicles and other technologies that use GPS receivers for positioning, navigation and timing.

“This is a legal way for us to improve the cyber resilience of autonomous vehicles by demonstrating a transmission of spoofed or manipulated GPS signals to allow for analysis of system responses,” said Victor Murray, head of SwRI’s Cyber Physical Systems Group in the Intelligent Systems Division.

GPS spoofing is a malicious attack that broadcasts incorrect signals to deceive GPS receivers, while GPS manipulation modifies a real GPS signal. GPS satellites orbiting the Earth pinpoint physical locations of GPS receivers embedded in everything from smartphones to ground vehicles and aircraft. SwRI designed the new tool to meet United States federal regulations. Testing for GPS vulnerabilities in a mobile environment had previously been difficult because federal law prohibits over-the-air re-transmission of GPS signals without prior authorization.

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Smart watches. Pacemakers. Internet-connected glasses. These are devices designed to make life easier. And yet, all this wearable technology can be hacked. The devices send personal health information to your smartphone over the airways, so anyone with the know-how could scoop it up and steal it. But now, researchers at Northeastern have a better, more secure idea: Send data through your body.

Associate professor Kaushik Chowdhury worked with a team of researchers from the Draper Laboratory in Cambridge, Massachusetts, and the Federal University of Paraná in Brazil to develop a safe, hacker-proof method to transmit sensitive data.

“The truth is, no matter what I do when it comes to wireless devices, I’m radiating the signal through the air,” Chowdhury says. “There is the danger that the signal can be jammed, or analyzed by someone else. Our method secures this sensitive information so it can’t be leaked.”

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Researchers from North Carolina State University and the University of Texas at Austin have developed a technique for detecting types of malware that use a system’s architecture to thwart traditional security measures. The new detection approach works by tracking power fluctuations in embedded systems.

“Embedded systems are basically any computer that doesn’t have a physical keyboard – from smartphones to Internet of Things devices,” says Aydin Aysu, co-author of a paper on the work and an assistant professor of electrical and computer engineering at NC State. “Embedded systems are used in everything from the voice-activated virtual assistants in our homes to industrial control systems like those used in power plants. And malware that targets those systems can be used to seize control of these systems or to steal information.”

At issue are so-called micro-architectural attacks. This form of malware makes use of a system’s architectural design, effectively hijacking the hardware in a way that gives outside users control of the system and access to its data. Spectre and Meltdown are high-profile examples of micro-architectural malware.

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China’s Gen Z isn’t impressed by glitzy brand names and traditional advertising campaigns. Many are looking beyond the physical stores and e-commerce portals their predecessors preferred. They’re buying goods suggested by social media influencers known as wanghong. And they’re using messaging, short videos, livestreaming, and social media apps as gateways to making those purchases.

Traditional retail and e-commerce hold little interest for consumers who are wedded to smartphones and take their cues from influencers.

For years, post traumatic stress disorder (PTSD) has been one of the most challenging disorders to diagnose. Traditional methods, like one-on-one clinical interviews, can be inaccurate due to the clinician’s subjectivity, or if the patient is holding back their symptoms.

Now, researchers at New York University say they’ve taken the guesswork out of diagnosing PTSD in veterans by using artificial intelligence to objectively detect PTSD by listening to the sound of someone’s voice. Their research, conducted alongside SRI International — the research institute responsible for bringing Siri to iPhones— was published Monday in the journal Depression and Anxiety.

According to The New York Times, SRI and NYU spent five years developing a voice analysis program that understands human speech, but also can detect PTSD signifiers and emotions. As the NYT reports, this is the same process that teaches automated customer service programs how to deal with angry callers: By listening for minor variables and auditory markers that would be imperceptible to the human ear, the researchers say the algorithm can diagnose PTSD with 89% accuracy.

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This flexible smartphone/tablet is beyond our wildest dreams.

Tesla CEO Elon Musk presented some new details on the Tesla Network’s Robotaxi ride-hailing service during the company’s Autonomy Day. Musk outlined his how much electric car owners can earn from the service, as well as how long vehicles can last operating as autonomous ride-sharing Robotaxis.

Musk started his presentation by reiterating Tesla’s Master Plan, which includes the deployment of the company’s Robotaxi program sometime in 2020 (pending regulatory approval, of course). Musk joked about Tesla’s delays in the rollout of Full Self-Driving features, though he did note that “we said we’re gonna do the Robotaxi, and we’re gonna do the Robotaxi.”

Tesla owners who wish to use their vehicles for the Tesla Network will be able to manage their electric cars through their smartphone. Musk dropped several points of information that will be key to the Tesla Network’s Robotaxi service as well. Among these is the vehicles’ longevity. The CEO noted that current-generation battery packs are good for about 300,000 to 500,000 miles, though Tesla’s upcoming batteries which will go on production next year will operate for twice as long, up to 1 million miles with minimal maintenance.

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