Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.
From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing ...
Large language models (LLMs) have shown remarkable generalization capability with exceptional performance in various language modeling tasks. However, they still exhibit inherent limitations in ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...
Abstract: Although small drones provide significant convenience through various applications, their widespread use poses a major threat to public safety, particularly when operated without ...
Abstract: Fourier ptychography (FP) is a new computational imaging technique with the advantage of being able to provide super-resolution imaging. FP has a very complex degradation process. Merging ...
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