University of Arizona researchers have demonstrated that multiphoton microscopy (MPM), combined with machine learning and deep learning techniques, can accurately distinguish pancreatic neuroendocrine ...
A research team has developed a novel artificial intelligence (AI) system that enables low-cost agricultural robots to “see” in three dimensions ...
Blackett Laboratory, Department of Physics, Imperial College London, London SW7 2BW, U.K. Blackett Laboratory, Department of Physics, Imperial College London, London ...
This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
Abstract: The magnetic anomaly target detection is a widely used technique to locate obscured ferromagnetic objects for both civilian and military purposes. To improve the detection performance at low ...
This paper is dedicated to the memory of my grandma. This is probably the only paper in my life that was written in a hospital the entire time. This is also at the same time the very first work in my ...
In recent years, underwater object detection (UOD) has become a prominent research area in the computer vision community. However, existing UOD approaches are still vulnerable to underwater ...
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