Medical image synthesis is an emerging field that leverages advanced computational techniques to generate high-quality medical images from existing data. One of the most promising approaches in ...

Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...

The AI model was able to eventually match the rats’ image processing capabilities, but only after using more and more resources and computer power to catch up. Though identifying objects in their ...

Image segmentation is a crucial process in computer vision that involves dividing an image into meaningful parts or segments. This technique is essential for various applications, including ...

Researchers from Australia and Bangladesh have developed an artificial intelligence model capable of spotting and ...

Associate Professor Qing Zhong shared insights on AI breakthroughs in proteomics and multiomics, challenges in data sharing ...

If 2024 saw an unparalleled acceleration in the wider public’s awareness of AI, then 2025 will be the year when its practical application becomes mainstream.

In this valuable manuscript, authors ablate cerebellar oligodendrocytes during postnatal development and show that synchrony of calcium transients in Purkinje neurons and behaviours are affected even ...

The oncology field is experiencing a profound shift due to the rapid integration of artificial intelligence (AI) and machine ...

Terry Sejnowski is laboratory head of the computational neurobiology laboratory at the Salk Institute for Biological Studies ...

AI companies don't fully understand how their models work and they aren’t making the training data available to outside ...