In the first study of its kind, researchers at the RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) in Japan have used artificial intelligence to dramatically speed up the processing time when simulating galaxy evolution coupled with supernova explosion. This approach could help us understand the origins of our own galaxy, particularly the elements essential for life in the Milky Way.

Jürgen Czarske's team at the Technical University of Dresden in Germany used FPGA technology to achieve mode decomposition in multimode fiber communications, significantly reducing latency and power consumption, and effectively improving the efficiency of real-time data transmission. This research has broad application potential in the fields of classical communication systems, medical endoscopes, and high-precision sensors, and has contributed to advancing the industrialization of related technologies.

Scientists have studied a new target for antibiotics in the greatest detail yet – in the fight against antibiotic resistance.

Saline–alkali stress disrupts the delicate chemistry of rose petals, reshaping both their color and aroma profiles. 

In Applied Physics Letters, researchers in China created a machine vision sensor that uses quantum dots to adapt to extreme changes in light far faster than the human eye can — in about 40 seconds — by mimicking eyes’ key behaviors. The sensor’s fast adaptive speed stems from its unique design: lead sulfide quantum dots embedded in polymer and zinc oxide layers. The device responds dynamically by either trapping or releasing electric charges depending on the lighting, similar to how eyes store energy for adapting to darkness.