Flexible Circuits made with Silk and Graphene on the horizon

By controlling silk protein nanostructure for the first time, scientists pave the way for advanced microelectronic and computing applications. Ultra-thin layers of silk deposited on graphene in perfect alignment represent a key advance for the control needed in microelectronics and advanced neural network development.

After thousands of years as a highly valuable commodity, silk continues to surprise. Now it may help usher in a whole new direction for microelectronics and computing.

While silk protein has been deployed in designer electronics, its use is currently limited in part because silk fibers are a messy tangle of spaghetti-like strands.

Now, a research team led by scientists at the Department of Energy’s Pacific Northwest National Laboratory has tamed the tangle...

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Magnifying Deep Space Through the ‘Carousel Lens’

Annotated Hubble Space Telescope image of the Carousel Lens, taken in two 10-minute exposures, one using an optical filter and another using an infrared filter.
Hubble Space Telescope image of the Carousel Lens, taken in two 10-minute exposures, one using an optical filter and another using an infrared filter. The “L” indicators near the center (La, Lb, Lc, and Ld) show the most massive galaxies in the lensing cluster, located 5 billion light years away. Seven unique galaxies (numbered 1 through 7) – located an additional 2.6 to 7 billion light years beyond the lens – appear in multiple, distorted “fun-house mirror” iterations (indicated by each number’s letter index, e.g., a through d), as seen through the lens. (Credit: Credit: William Sheu (UCLA) using Hubble Space Telescope data.)

A newly discovered cluster-scale strong gravitational lens, with a rare alignment of seven background lensed galaxies, provides a unique opportuni...

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Research suggests Neurons Protect and Preserve certain Information through a Dedicated Zone of Stable Synapses

Microscopic image of neurons in different colors, against a black background.
Caption: A layer 5 pyramidal neuron imaged in vivo with two-photon microscopy. The oblique dendritic domain (pink) contains stable synapses, and the basal dendritic domain (blue) contains plastic synapses. The cell body and part of the dendritic trunk are white.
Credits:Image: Courtney Yaeger and Mark Harnet

One of the brain’s most celebrated qualities is its adaptability. Changes to neural circuits, whose connections are continually adjusted as we experience and interact with the world, are key to how we learn. But to keep knowledge and memories intact, some parts of the circuitry must be resistant to this constant change.

“Brains have figured out how to navigate this landscape of balancing between stability and flexibility, so that you can have new learning and you can have lifelon...

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New Algorithm Helps Enhance LLM Collaboration for Smarter, more Efficient Solutions

Algorithm helps enhance LLM collaboration for smarter, more efficient solutions
“Co-LLM” uses a general-purpose large language model to start replying to a prompt, with a “switch variable” intervening at certain words to call upon a more accurate answer from the expert model. Credit: Alex Shipps/MIT CSAIL

Ever been asked a question you only knew part of the answer to? To give a more informed response, your best move would be to phone a friend with more knowledge on the subject.

This collaborative process can also help large language models (LLMs) improve their accuracy. Still, it’s been difficult to teach LLMs to recognize when they should collaborate with another model on an answer...

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