AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.
A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...
Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...
A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal behaviors in real time and immediately interact with the animals’ brain ...
https://connect.extension.org/event/food-traceability-and-transparency-from-compliance-to-customer-connection-1 Join Jim White, president of ENSESO4Food and partner ...
A research team led by the University of Sharjah in the United Arab Emirates has developed a novel machine learning approach for fault detection in bifacial PV systems. The method combines a ...
Abstract: Hardware Trojans in high level synthesis (HLS) generated intellectual property (IP) designs pose significant security threats. The HLS frameworks, while enabling efficient hardware design ...
TOMRA has launched the 4C with LUCAi, an optical sorting machine designed to increase detection, accuracy, performance, efficiency and flexibility for the nut and IQF industries. “The TOMRA 4C will ...
An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...
Laboratoire de Matériaux et Environnement (LAME), Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso. In recent decades, the impact of climate change on natural resources has increased. However, ...
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