Cereals, crucial for food and biofuel, are increasingly using genetically modified (GM) technology in production to enhance resistance and nutrition. Despite biosafety concerns, precise detection ...

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...

When performing material identification from hyperspectral images, a common challenge is the mixing of spectral signals at boundaries between materials. This study investigates spectral unmixing as a ...

In opposition to traditional RGB imaging and machine vision, spectral imaging techniques allow seeing far beyond what our eyes can. Indeed, the underlying concept is to utilize spectroscopy techniques ...

In spectroscopic analysis, the development of cost-effective handheld infrared spectrometers has revolutionized monitoring practices, particularly in industries like agriculture and food production.

A new technical paper titled “Sputtering-driven formation of interstitial oxygen for intrinsic NIR detection in IGZO phototransistor” was published by researchers at KICET, Korea University, Yonsei ...

RF absorption and PLL phase calibration help phased-array subsystems reduce clock spurs while preserving spectral purity and ...

Cereals, crucial for food and biofuel, are increasingly using genetically modified (GM) technology in production to enhance resistance and nutrition. Despite biosafety concerns, precise detection ...