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Organic electronics lead to new ways to sense light

The past few decades have seen astonishing advances in imaging technology, from high-speed optical sensors that process over two million frames per second to tiny lensless cameras that record images using a single pixel.

In a study published in Advanced Materials, researchers from SANKEN (The Institute of Scientific and Industrial Research), at Osaka University have developed an optical sensor on an ultrathin, flexible sheet that can be bent without breaking. In fact, this sensor is so flexible, it will work even after it has been crumpled into a ball.

In a camera, the optical sensor is the device that senses the light that has passed through a lens, similar to the retina inside a human eye.

NEW Emails EXPOSE Fauci’s Lab Leak Disinformation Campaign, Report: Michael Shellenberger

Twitter files author Michael Shellenberger weighs in on recent leaked NIH emails. #Fauci #covidorigins.

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Ferroelectric artificial synapses for high-performance neuromorphic computing: Status, prospects, and challenges

Neuromorphic computing provides alternative hardware architectures with high computational efficiencies and low energy consumption by simulating the working principles of the brain with artificial neurons and synapses as building blocks. This process helps overcome the insurmountable speed barrier and high power consumption from conventional von Neumann computer architectures. Among the emerging neuromorphic electronic devices, ferroelectric-based artificial synapses have attracted extensive interest for their good controllability, deterministic resistance switching, large output signal dynamic range, and excellent retention. This Perspective briefly reviews the recent progress of two-and three-terminal ferroelectric artificial synapses represented by ferroelectric tunnel junctions and ferroelectric field effect transistors, respectively. The structure and operational mechanism of the devices are described, and existing issues inhibiting high-performance synaptic devices and corresponding solutions are discussed, including the linearity and symmetry of synaptic weight updates, power consumption, and device miniaturization. Functions required for advanced neuromorphic systems, such as multimodal and multi-timescale synaptic plasticity, are also summarized. Finally, the remaining challenges in ferroelectric synapses and possible countermeasures are outlined.