Neuromorphic camera and machine learning aid nanoscopic imaging
Feb 2023, phys.org
Brain-inspired image sensor using machine learning can go beyond the diffraction limit of light to detect minuscule objects such as cellular components or nanoparticles smaller than 50 nanometers in size, and invisible to current microscopes.
via Indian Institute of Science: Rohit Mangalwedhekar et al, Achieving nanoscale precision using neuromorphic localization microscopy, Nature Nanotechnology (2023). DOI: 10.1038/s41565-022-01291-1
Image credit: AI Art - Sci Fi Night Nurse - 2024
New 'camera' with shutter speed of 1 trillionth of a second sees through dynamic disorder of atoms
Mar 2023, phys.org
Doesn't work like a conventional camera - it uses neutrons from a source at the U.S. Department of Energy's Oak Ridge National Laboratory (ORNL) to measure atomic positions with a shutter speed of around one picosecond, or a million million (a trillion) times faster than normal camera shutters.
via Columbia University School of Engineering and Applied Science: Simon A. J. Kimber et al, Dynamic crystallography reveals spontaneous anisotropy in cubic GeTe, Nature Materials (2023). DOI: 10.1038/s41563-023-01483-7
Superconducting nanowire camera will explore brain cells, space
Jul 2023, phys.org
Superconducting camera -- A pixel array 400 times greater than previous largest photon camera, this is a 400,000 pixel superconducting nanowire single-photon detector (SNSPD), for light frequencies from the visible to ultraviolet and infrared range and speed rates in the picoseconds.
via National Institute of Standards and Technology in Boulder, University of Colorado's Department of Physics and the Jet Propulsion Laboratory at the California Institute of Technology: Bakhrom G. Oripov et al, A superconducting-nanowire single-photon camera with 400,000 pixels, arXiv (2023). DOI: 10.48550/arxiv.2306.09473
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| AI Art - Skeleton Reading an X-Ray - 2024 |
The first network of robotic telescopes present across five continents is deployed
Feb 2023, phys.org
The existence of a network of very fast pointing robotic telescopes such as BOOTES represents an ideal complement to satellite detection and, in fact, BOOTES will also work to track and monitor neutrino sources and objects that emit gravitational waves, or even objects such as comets, asteroids, variable stars or supernovae. But it will also keep an eye on the sky, both in tracking space debris and potentially dangerous objects that may pose a threat to our planet.
via Spanish National Research Council: Youdong Hu et al, The Burst Observer and Optical Transient Exploring System in the multi-messenger astronomy era, Frontiers in Astronomy and Space Sciences (2023). DOI: 10.3389/fspas.2023.952887.
HotSat-1: Spacecraft to map UK's heat inefficient buildings
Jun 2023, BBC News
Mass surveillance --
At an altitude of 500km (311 miles), infrared satellite HotSat-1, funded by the UK and European space agencies, manufactured by Surrey Satellite Technology Ltd in Guildford, and to be operated by the London-based start-up Satellite Vu, will identify dwellings wasting energy.The data will also provide intelligence to the financial and insurance sectors - and even the military - by showing how temperatures in a scene change over time. It's possible, for example, to get a sense of the volume and type of output from a factory just from its heat signature.Pollution monitoring ought to be another application. Watching for sudden changes in the temperature of river water might be an indicator that something is awry.
Update: A novel UK satellite has returned its first pictures of heat variations across the surface of the Earth. HotSat-1: UK spacecraft maps heat variations across Earth, Sep 2023, BBC News
The future of AI hardware: Scientists unveil all-analog photoelectronic chip
Oct 2023, phys.org
All-analog photoelectronic chip that combines optical and electronic computing. It's specifically for visual data processing (as expected).
New words to me - "diffractive neural network"
Also - ACCEL: all-analog chip combining electronic and light computing
via Tsinghua University: Yitong Chen et al, All-analog photoelectronic chip for high-speed vision tasks, Nature (2023). DOI: 10.1038/s41586-023-06558-8
Also: Computer vision accelerated using photons and electrons, Nature (2023). DOI: 10.1038/d41586-023-02947-1
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