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(NewsNation) — Eye scans could be able to detect Parkinson’s disease several years before the presentation of other symptoms, according to a new study.

The findings, published in the journal Neurology, add to growing evidence that eye scans could help detect neurodegenerative diseases including Alzheimer’s and multiple sclerosis.

Researchers at University College Hospital and the Moorfields Eye Hospital used a type of 3D scan known as optical coherence tomography (OCT) which detected Parkinson’s disease markers an average of seven years before clinical symptoms.

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Meyers Manx, the original maker of the Volkswagen Beetle-based, fiberglass-bodied beach buggy from the 1960s, just published the starting price for its all-new, all-electric Manx 2.0 electric buggy, and it’s not exactly cheap.

Revealed last year at The Quail, A Motorsports Gathering, the company’s first all-new vehicle in nearly 20 years starts at $74,000 for the base variant with the 20-kilowatt-hour battery pack and yet-to-be-released performance figures. That’s almost as expensive as the recently introduced Tesla Model S Standard Range, which starts at $78,490 and offers a 320-mile range.

The base MSRP came with no extra information and was casually thrown in a sentence at the end of the press release for the company’s new Resorter Neighborhood Electric Vehicle (NEV), which debuted last week at The Quail, so we still don’t know how much the top-of-the-line model will set prospective customers back.

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Through a series of innovative experiments, he and his team found that a sheet of glass crystal just a few atoms thick could trap and carry light. Not only that, but it was surprisingly efficient and could travel relatively long distances—up to a centimeter, which is very far in the world of light-based computing.

The research, published Aug. 10 in Science, demonstrates what are essentially 2D photonic circuits, and could open paths to new technology.

2D optical waveguides could point way to new technology.

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Additionally, iProov reveals a 295 percent yearly increase in biometric attacks that use novel face swaps. Using this technique, attackers generate synthetic images with AI, either replacing the face of the victim with a video of him to bypass liveness checks or with the face of the attacker itself.

But beyond deep fakes and other more rudimentary presentation attacks where identities are spoofed using masks or other presentation techniques, another type of attack is gaining ground: digital injection.

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The FBI is warning the public that cyber criminals are embedding malicious code in mobile beta-testing applications (apps) to defraud potential victims. Beta-testing apps are online services for testing of mobile apps prior to official release. The beta apps typically are not subject to mobile operating systems’ review processes.

The malicious apps enable theft of personally identifiable information (PII), financial account access, or device takeover. The apps may appear legitimate by using names, images, or descriptions similar to popular apps. Cyber criminals often use phishing or romance scams to establish communications with the victim, then direct the victim to download a mobile beta-testing app housed within a mobile beta-testing app environment, promising incentives such as large financial payouts.

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The prospect of a quantum internet, connecting quantum computers and capable of highly secure data transmission, is enticing, but making it poses a formidable challenge. Transporting quantum information requires working with individual photons rather than the light sources used in conventional fiber optic networks.

To produce and manipulate , scientists are turning to quantum light emitters, also known as . These atomic-scale defects in semiconductor materials can emit single photons of fixed wavelength or color and allow photons to interact with electron spin properties in controlled ways.

A team of researchers has recently demonstrated a more effective technique for creating quantum emitters using pulsed ion beams, deepening our understanding of how are formed. The work was led by Department of Energy Lawrence Berkeley National Laboratory (Berkeley Lab) researchers Thomas Schenkel, Liang Tan, and Boubacar Kanté who is also an associate professor of electrical engineering and computer sciences at the University of California, Berkeley.

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