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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 . And 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 , 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.

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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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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

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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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Indeed, Schindler stressed that Google would generate personalized Maps recommendations in “privacy-sensitive, opt-in ways.”

The company is betting that adding more data about places and businesses to Maps will lead people to spend more time on the service. As users expect more from Maps, Google has extra space to introduce more ads.

“We want to be able to highlight things that are around you and surface them nearby to you in a way that’s not disrupting your experience,’’ said Rajas Moonka, director of product management for Google Maps. Because so much of what users are looking for in Google Maps is commercial in nature, ads can be a helpful addition to the experience, he said.


Back in the late 1990s, a traveler from Lebanon to London would have noticed something interesting about telecommunications in the two countries, while many people in Lebanon owned a mobile phone, London was still accustomed to using red telephone boxes to make calls on the run. What caused such a difference? During the Lebanese Civil War, all landline infrastructures were destroyed, and the Lebanese leapfrogged to owning mobile phones. Fast-forward 20 years to today and one can see a similar pattern in many developing countries, where landlines and personal computers are bypassed for mobile internet. 5G is going to make that shift even more dramatic and in many other similar areas, technology is enabling us to bypass existing infrastructure and to rethink the way things are made.

Manufacturing cars is highly efficient and in most 21st century facilities you hardly see any people. Everything is done by robots on a moving assembly line. But it makes you wonder if such a factory setup would make sense for new product categories, which in the beginning are a novelty at best? For example, flying cars or Unmanned Aerial Vehicles ( UAV). The questions we should be asking: How are we going to do it cost-effectively and with similar automation as automotive factories? And can Additive Manufacturing help these novel product categories excel, cut costs and completely skip the assembly line altogether? Just like when Henry Ford created the first moving assembly line back in 1913, it was then a necessity for industrial production to take place. If we wish to cut costs, simplify assembly, reduce factory footprints and part counts, Additive Manufacturing starts becoming a necessity and as a result, we can start questioning the 100-year-old assembly line.

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