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A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science.
Researchers have uncovered how primate brains transform flat, 2D visual inputs into rich, 3D mental representations of ...
Understanding how the human brain represents the information picked up by the senses is a longstanding objective of ...
Yale researchers have discovered a process in the primate brain that sheds new light on how visual systems work and could ...
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The Daily Galaxy on MSNAI Crosses a New Frontier: Machines Are Rewiring Themselves to Understand Reality Like Humans, Especially in This Particular Area!In laboratories from Beijing to Guangzhou, computer scientists are exploring questions once reserved for philosophers and ...
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PsyPost on MSNResearchers identify neural mechanism behind memory prioritizationNew research has uncovered how the brain dynamically adjusts its neural activity to prioritize more important information in working memory. The study, published in Science Advances, found that when ...
This paper primarily focuses on evaluating and benchmarking the robustness of visual representations in the context of object assembly tasks. Specifically, it investigates the alignment and insertion ...
Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .
As the texts and images generated by these models are often very convincing, to the point that they could appear to be human-created content, multimodal LLMs could be interesting experimental tools ...
Compelling evidence object representations in LLMs ‘share fundamental similarities that reflect key aspects of human conceptual knowledge’.
Scene recognition is challenging due to the intra-class diversity and inter-class similarity. Previous works recognize scenes either with global representations or with the intermediate ...
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