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A new study on meta reinforcement learning algorithms helps us understand how the human brain learns to adapt to complexity and uncertainty when learning and making decisions. A research team succeeded in discovering both a computational and neural mechanism for human meta reinforcement learning, opening up the possibility of porting key elements of human intelligence into artificial intelligence algorithms. This study provides a glimpse into how it might ultimately use computational models to reverse engineer human reinforcement learning.

from Top Health News -- ScienceDaily https://ift.tt/37Lp45q

Infertility likely stems from age-related decline of the ovaries, but the molecular mechanisms that lead to this decline have been unclear. Now, scientists have discovered, in unprecedented detail, how ovaries age in non-human primates. The findings reveal several genes that could be used as biomarkers and point to therapeutic targets for diagnosing and treating female infertility and age-associated ovarian diseases, such as ovarian cancer, in humans.

from Top Health News -- ScienceDaily https://ift.tt/2uIvJPt

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