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A research group led by 2014 Nobel laureate Hiroshi Amano at Nagoya University’s Institute of Materials and Systems for Sustainability (IMaSS) in central Japan, in collaboration with Asahi Kasei Corporation, has successfully conducted the world’s first room-temperature continuous-wave lasing of a deep-ultraviolet laser diode (wavelengths down to UV-C region).

These results, published in Applied Physics Letters, represent a step toward the widespread use of a technology with the potential for a wide range of applications, including and medicine.

Since they were introduced in the 1960s, and after decades of research and development, successful commercialization of laser diodes (LDs) was finally achieved for a number of applications with wavelengths ranging from infrared to blue-violet. Examples of this technology include optical communications devices with infrared LDs and Blu-ray discs using blue-violet LDs.

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Astronomers at Caltech have used a machine learning algorithm to classify 1,000 supernovae completely autonomously. The algorithm was applied to data captured by the Zwicky Transient Facility, or ZTF, a sky survey instrument based at Caltech’s Palomar Observatory.

“We needed a helping hand, and we knew that once we trained our computers to do the job, they would take a big load off our backs,” says Christoffer Fremling, a staff at Caltech and the mastermind behind the , dubbed SNIascore. “SNIascore classified its first supernova in April 2021, and, a year and a half later, we are hitting a nice milestone of 1,000 supernovae.”

ZTF scans the night skies every night to look for changes called transient events. This includes everything from moving asteroids to black holes that have just eaten stars to exploding stars known as supernovae. ZTF sends out hundreds of thousands of alerts a night to around the world, notifying them of these transient events. The astronomers then use other telescopes to follow up and investigate the nature of the changing objects. So far, ZTF data have led to the discovery of thousands of supernovae.

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With the above in mind, projects looking to desalinate water in a more sustainable way will become increasingly important in the years ahead.

The idea of using waves to power desalination is not unique to the project being undertaken in the Canaries. In April, for example, the U.S. Department of Energy revealed the winners of the last stage of a competition focused on wave-powered desalination.

Back on the Canary Islands, Ocean Oasis said it would be looking to construct a second installation after testing at the PLOCAN facility had taken place. “In this phase, the prototype will be scaled with the capacity to produce water for consumption,” the company said.

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As we head through hard times things can seem rather bleak, but there’s lots of amazing and beneficial technologies on the horizon.

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Continue reading “Reasons To Be Optimistic About The Future” | >

To realize electronic operations beyond the von Neumann bottleneck, a new type of switch that can mimic self-learning is needed. Here, the authors demonstrate all-in-one-place logic and memory operations based on dynamic molecular switch that can emulate brain-like synaptic and Pavlovian response, bringing the field a step closer to molecular-scale hardware.

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