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In the brain, timekeeping is done with neurons that relax at different rates after receiving a signal; now memristors—hardware analogs of neurons—can do that too.

Artificial neural networks may soon be able to process time-dependent information, such as audio and video data, more efficiently. The first memristor with a ‘relaxation time’ that can be tuned is reported today in Nature Electronics, in a study led by the University of Michigan.

Energy Efficiency and AI.

Innovative infrared sensors developed by NASA increase resolution for Earth and space imaging, promising advancements in environmental monitoring and planetary science.

A newly developed infrared camera featuring high resolution and equipped with a range of lightweight filters has the potential to analyze sunlight reflected from Earth’s upper atmosphere and surface, enhance forest fire alerts, and uncover the molecular composition of other planets.

These cameras are equipped with sensitive, high-resolution strained-layer superlattice sensors, originally developed at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, funded through the Internal Research and Development (IRAD) program.

Gas bubbling up from a lava-covered surface on the exoplanet 55 Cancri e may feed an atmosphere rich in carbon dioxide or carbon monoxide.

Located a mere 41 light years from Earth, the exoplanet 55 Cancri e is so intensely hot that scientists once doubted its ability to sustain an atmosphere. However, a recent study conducted by a national team of scientists suggests 55 Cancri e may be the first rocky exoplanet confirmed to have an atmosphere.

Published in Nature, the paper titled “A Secondary Atmosphere on the Rocky Exoplanet 55 Cnc e” was authored by researchers from NASA’s Jet Propulsion Laboratory, the California Institute of Technology, the University of Chicago, the University of New Mexico (UNM).

Recent experimental advancements have enabled more accurate and in-depth analysis of these materials during and after formation. The review article examines two decades of research on the non-classical formation pathways of soft and organic crystalline materials. It details the current theoretical understanding of how these materials form through non-classical pathways, including distinguishing the processes of nucleation and growth across models.

Advances in experimental methods, including in-line scattering/spectroscopy detection, cryo microscopy, and in situ liquid-phase characterization, and their application to studying soft and organic crystalline materials are also discussed.

These experimental techniques have provided strong evidence for non-classical crystallization pathways, leading to key breakthroughs in understanding these processes. However, the sole presence of a specific final product or intermediate does not prove that a material formed via a specific .