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Researchers have created a new class of materials called “glassy gels” that are as hard as glassy polymers, but – if you apply enough force – can stretch up to five times their original length, rather than breaking. A key thing that distinguishes glassy gels is that they are more than 50% liquid, which makes them more efficient conductors of electricity than common plastics that have comparable physical characteristics. Credit: Meixiang Wang, NC State University.

Researchers have developed a new class of materials known as glassy gels, which combine the hardness of glassy polymers with the stretchability of gels.

These materials maintain over 50% liquid content, enhancing their elasticity and adhesive properties. The fabrication process involves mixing polymer precursors with an ionic liquid and curing with ultraviolet light, allowing for easy production and potential for widespread application in industries like electronics and medical devices.

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As information technology is moving toward the era of big data, the traditional Von-Neumann architecture shows limitations in performance. The field of computing has already struggled with the latency and bandwidth required to access memory (“the memory wall”) and energy dissipation (“the power wall”). These challenging issues, such as “the memory bottleneck,” call for significant research investments to develop a new architecture for the next generation of computing systems. Brain-inspired computing is a new computing architecture providing a method of high energy efficiency and high real-time performance for artificial intelligence computing. Brain-inspired neural network system is based on neuron and synapse. The memristive device has been proposed as an artificial synapse for creating neuromorphic computer applications. In this study, post-silicon nano-electronic device and its application in brain-inspired chips are surveyed. First, we introduce the development of neural networks and review the current typical brain-inspired chips, including brain-inspired chips dominated by analog circuit and brain-inspired chips of the full-digital circuit, leading to the design of brain-inspired chips based on post-silicon nano-electronic device. Then, through the analysis of N kinds of post-silicon nano-electronic devices, the research progress of constructing brain-inspired chips using post-silicon nano-electronic device is expounded. Lastly, the future of building brain-inspired chips based on post-silicon nano-electronic device has been prospected.

Keywords: brain-inspired chips; neuron; phase change memory; post-silicon nano-electronic device; resistive memory; synapse.

Copyright © 2022 Lv, Chen, Wang, Li, Xie and Song.

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Technological singularity: a hypothetical event where artificial intelligence (AI) surpasses human capabilities and leads to a transformative cascade of change.

Technological singularity: a hypothetical event where artificial intelligence (AI), pushed by exponential growth in computational power and intelligence, surpasses human capabilities and leads to a transformative cascade of change.

Coined by mathematician John von Neumann and popularized by futurist Ray Kurzweil, the singularity signifies a critical moment in human history—one where the trajectory of civilization takes an unpredictable turn and the boundaries between humans and machines blur. Kurzweil argued that technological progress follows an exponential trajectory and predicted that the singularity would occur around the year 2045, leading to a merging of human and machine intelligence and unprecedented levels of innovation.

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Are scientists wrong about dark energy? It looks like that could be the case.

Let’s dive into some recent findings from DESI, or the Dark Energy Spectroscopic Instrument, to talk about its weird findings and how that might change our understanding of the universe.

Dark energy is not related to dark matter, even though they have similar names. They’re both called “dark,” though, because they’re not directly observable. We infer their existence based on how we’ve observed our universe behaves.

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