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Category: computing

Researchers have fashioned ultrathin silicon nanoantennas that trap and redirect light, for applications in quantum computing, LIDAR and even the detection of viruses.

Light is notoriously fast. Its speed is crucial for rapid information exchange, but as light zips through materials, its chances of interacting and exciting atoms and molecules can become very small. If scientists can put the brakes on light particles, or photons, it would open the door to a host of new technology applications.

Now, in a paper published on August 17, 2020, in Nature Nanotechnology, Stanford scientists demonstrate a new approach to slow light significantly, much like an echo chamber holds onto sound, and to direct it at will. Researchers in the lab of Jennifer Dionne, associate professor of materials science and engineering at Stanford, structured ultrathin silicon chips into nanoscale bars to resonantly trap light and then release or redirect it later. These “high-quality-factor” or “high-Q” resonators could lead to novel ways of manipulating and using light, including new applications for quantum computing, virtual reality and augmented reality; light-based WiFi; and even the detection of viruses like SARS-CoV-2.

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Molecular engineers at the University of Chicago have found a way to extend the quantum state of a qubit to 22 milliseconds, representing a huge improvement and a window some say will make quantum computers far more feasible. The secret is an alternating magnetic field, which they say is scientifically “intricate” but easy to apply.

🤯 You like quantum. So do we. Let’s nerd out over it together.

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“Using microfluidics, computer modeling and other techniques, they found that about half of the cells age through a gradual decline in the stability of the nucleolus, a region of nuclear DNA where key components of protein-producing “factories” are synthesized,” a press release announcing the research explains. “In contrast, the other half age due to dysfunction of their mitochondria, the energy production units of cells.”

Researchers studying aging have discovered that cells tend to follow one of two aging pathways. The way each individual cell ages is determined early on, and scientists can predict how a cell will age based on early observations.

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An international leader in quantum computing, architect of the U.S. National Quantum Initiative, and member of the National Academy of Sciences, Chris Monroe will join longtime long-distance collaborators at Duke to build practical quantum computers for use in fields from finance to pharmaceuticals.

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Circa 2017

Positron emission tomography (PET) image synthesis plays an important role, which can be used to boost the training data for computer aided diagnosis systems. However, existing image synthesis methods have problems in synthesizing the low resolution PET images. To address these limitations, we propose multi-channel generative adversarial networks (M-GAN) based PET image synthesis method. Different to the existing methods which rely on using low-level features, the proposed M-GAN is capable to represent the features in a high-level of semantic based on the adversarial learning concept. In addition, M-GAN enables to take the input from the annotation (label) to synthesize the high uptake regions e.g., tumors and from the computed tomography (CT) images to constrain the appearance consistency and output the synthetic PET images directly.

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Research is showing a strong link between handgrip strength, walking speed, and cognition, indicating how improved physical health could boost elderly minds.

Based at Barwon Health, in the heart of Geelong’s clinical precinct, researchers are working to identify the —such as changes in , muscle strength and physical performance—for developing sarcopenia (loss of muscle mass, strength and function with advancing age) across the lifespan.

This testing involves the Geelong Osteoporosis Study (GOS) which began in the early 1990s, gathering adult participants from the electoral roll in the Barwon Statistical Division. During recent follow-up testing, researchers also measured cognitive function through a computer-based program, in tandem with evaluations.

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Light is notoriously fast. Its speed is crucial for rapid information exchange, but as light zips through materials, its chances of interacting and exciting atoms and molecules can become very small. If scientists can put the brakes on light particles, or photons, it would open the door to a host of new technology applications.

Now, in a paper published on Aug. 17, in Nature Nanotechnology, Stanford scientists demonstrate a new approach to slow light significantly, much like an echo chamber holds onto sound, and to direct it at will. Researchers in the lab of Jennifer Dionne, associate professor of materials science and engineering at Stanford, structured ultrathin silicon chips into nanoscale bars to resonantly trap light and then release or redirect it later. These “high-quality-factor” or “high-Q” resonators could lead to novel ways of manipulating and using light, including new applications for quantum computing, virtual reality and augmented reality; light-based WiFi; and even the detection of viruses like SARS-CoV-2.

“We’re essentially trying to trap light in a tiny box that still allows the light to come and go from many different directions,” said postdoctoral fellow Mark Lawrence, who is also lead author of the paper. “It’s easy to trap light in a box with many sides, but not so easy if the sides are transparent—as is the case with many Silicon-based applications.”

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