A research team led by Prof. Xie Chengjun and Zhang Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences developed a...
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Researchers from the Changchun Institute of Optics, Fine Mechanics and Physics of the Chinese Academy of Sciences have developed a novel autofocus method that harnesses the power of deep learning to dynamically select regions of interest in grayscale images. The study was published in the journal Sensors.
A research team led by Prof. Xie Chengjun and Zhang Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences developed a...
Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a high-tech drowning prevention and rescue...
Affective computing, a field focused on understanding and emulating human emotions, has seen significant advancements thanks to deep learning....
THURSDAY, Nov. 7, 2024 -- Memories are constantly adapting in the brain over time, dynamically updating as people encounter new information and fresh...
Researchers at the Ningbo Institute of Materials Technology and Engineering (NIMTE), part of the Chinese Academy of Sciences, have developed a new...
Researchers at the University of Virginia School of Engineering and Applied Science developed an AI-powered system that mimics the human sense of...
A team of international researchers, including scientists from the University of Adelaide, has developed a new approach to pain relief using a...
Researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory have developed and demonstrated an innovative set of methods to...
Imagine being a passenger in a self-driving car as the vehicle starts veering off the road. It's not a faulty sensor causing the dangerous...
Squamous cell carcinoma of the head and neck area is amongst the ten most common types of cancer. Using a method based on machine learning,...