Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
A new semiconductor chip fabricates miniature lenses on the chip to perform calculations using light instead of electricity, greatly increasing the power efficiency and reducing the computational run ...
To enhance the automation and efficiency of combine harvesters, this paper proposes a predictive control method based on Long Short-Term Memory (LSTM) neural networks. The method integrates ...
Florida researchers develop optoelectronic silicon chip to perform convolution operations for artificial intelligence. Turning light-encoded data into instant convolution results. Artificial ...
Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...
The challenge of efficiently detecting ripe and unripe strawberries in complex environments like greenhouses, marked by dense clusters of strawberries, frequent occlusions, overlaps, and fluctuating ...
Nahda Nabiilah is a writer and editor from Indonesia. She has always loved writing and playing games, so one day decided to put the two together. Most of the time, writing gaming guides is a blast for ...
Classifying corn varieties presents a significant challenge due to the high-dimensional characteristics of hyperspectral images and the complexity of feature extraction, which hinder progress in ...
ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...
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