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Novel 2D Material can Help Create a New Class of Extremely Energy-Efficient IoT Sensors

A new type of active pixel sensors that use a novel two-dimensional material may both enable ultra-sharp cellphone photos and create a new class of extremely energy-efficient Internet of Things (IoT) sensors, according to a team of Penn State researchers.

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2D material may enable ultra-sharp cellphone photos in low light

A new type of active pixel sensor that uses a novel two-dimensional material may both enable ultra-sharp cellphone photos and create a new class of extremely energy-efficient Internet of Things sensors, according to a team of Penn State researchers.

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Jeffrey-shallenberger
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Andrew-pannone

Graphene-based PUFs that are reconfigurable and resilient to ML attacks

Graphene-based PUFs that are reconfigurable and resilient to ML attacks
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Nanotechnology Now - Press Release: Graphene key for novel hardware security

Nanotechnology Now Home > Press > Graphene key for novel hardware security A team of Penn State researchers has developed a new hardware security device that takes advantage of microstructure variations to generate secure keys. CREDIT Jennifer McCann,Penn State Abstract: As more private data is stored and shared digitally, researchers are exploring new ways to protect data against attacks from bad actors. Current silicon technology exploits microscopic differences between computing components to create secure keys, but artificial intelligence (AI) techniques can be used to predict these keys and gain access to data. Now, Penn State researchers have designed a way to make the encrypted keys harder to crack.

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Graphene key for novel hardware security - ScienceBlog.com

Graphene key for novel hardware security As more private data is stored and shared digitally, researchers are exploring new ways to protect data against attacks from bad actors. Current silicon technology exploits microscopic differences between computing components to create secure keys, but artificial intelligence (AI) techniques can be used to predict these keys and gain access to data. Now, Penn State researchers have designed a way to make the encrypted keys harder to crack. Led by Saptarshi Das, assistant professor of engineering science and mechanics, the researchers used graphene a layer of carbon one atom thick to develop a novel low-power, scalable, reconfigurable hardware security device with significant resilience to AI attacks. They published their findings in Nature Electronics today (May 10).

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