Lifeboat Foundation

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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The LG Wallpaper TV is the thinnest display I’ve ever seen or held. It’s thinner than a smartphone and I can easily pick up the 65-inch! It uses LG’s OLED technology so you’ve got super dark blacks, vibrant colors and the overall picture quality you’ve come to expect from OLED. Because the Wallpaper TV is so thin it connects to an external sound bar speaker for power and video connections. The speaker is louder than standard TV speakers and features Dolby Atmos capabilities.

LG Signature OLED TV W product page — http://geni.us/UnboxW7US
LG Signature OLED TV W on Amazon — http://geni.us/UnboxW7a

Continue reading “Unboxing The Mind Bending Wallpaper TV… — YouTube” »

EU researchers have developed a graphene-enabled detector for terahertz light that is faster and more sensitive than existing room-temperature technologies. This can lead to a fully digital low-cost terahertz camera system. This could be as cheap as the camera inside the smartphone, since such a detector has proven to have a very low power consumption and is fully compatible with CMOS technology.

Detecting terahertz (THz) light is extremely useful for two main reasons. Firstly, THz technology is becoming a key element in applications regarding security (such as airport scanners), wireless data communication, and quality control, to mention just a few. However, current THz detectors have shown strong limitations in terms of simultaneously meeting the requirements for sensitivity, speed, spectral range, being able to operate at room temperature.

Secondly, it is a very safe type of radiation due to its low-energy photons, with more than a hundred times less energy than that of photons in the visible light range.

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