With trial and error, repetition and praise, when a puppy hears "Sit," they learn what they're expected to do. That's reinforcement learning, and it's a complex subject that fascinates neuroscientist Ryoma Hattori, Ph.D., ...
Feb 23, 2024
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Northwestern Medicine investigators have revealed new insights into the impact of neuronal structural diversity on neural computation, the basis of brain function, according to a recent study published in the Proceedings ...
Feb 20, 2024
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Since 2004, several clinical studies have reported that patients with OXA frequently experienced adverse effects of liver injury (LI), typically characterized by hepatic sinusoidal injury, splenomegaly, decreased platelet ...
Feb 8, 2024
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Generative artificial intelligence (AI), utilizing deep learning to generate a patient's brain network from multimodal images, has a valuable application in brain network analysis. However, existing data-driven models face ...
Feb 7, 2024
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Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication posing significant health risks to both mothers and their newborns. Early detection and treatment of GDM are crucial to prevent adverse outcomes. Current ...
Feb 1, 2024
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Recent advances in generative AI help to explain how memories enable us to learn about the world, relive old experiences and construct totally new experiences for imagination and planning, according to a new study by UCL ...
Jan 19, 2024
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The first documented case of pancreatic cancer dates back to the 18th century. Since then, researchers have undertaken a protracted and challenging odyssey to understand the elusive and deadly disease. To date, there is no ...
Jan 18, 2024
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In all species, brain function relies on an intricate network of connections that allows neurons to send information back and forth between one another, commanding thought and physical activity. But within those networks ...
Jan 17, 2024
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Mathematicians from RUDN University have built a neural network that recognizes breast cancer on histological samples with almost 100% accuracy. This was achieved with the help of a module, which "sharpened the attention" ...
Jan 16, 2024
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Models used by scientists to predict how epidemics will spread have a major flaw since they do not take into account the structure of the networks underlying transmission.
Jan 9, 2024
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