One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

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The integration of deep learning in neuroimaging enhances diagnostic capabilities, offering new insights into neurological ...

A novel DIPN method enhances GA segmentation by integrating ConvLSTM, projection attention, adaptive pooling, and contrastive ...

Artificial intelligence has long been tethered to high-performance data centers and cloud computing, reliant on the massive infrastructure needed to train and run deep learning models. But as AI ...

1. 卷积神经网络（CNN）在自动驾驶感知系统中具有局部连接、权值共享、多卷积核和池化等核心技术，有效降低了计算复杂度并提高了模型泛化能力。 2.

Researchers hope MindGlide will unlock valuable information from millions of untapped brain images that were previously difficult or impossible to understand.

NER is an NLP technique that identifies specific pieces of information within a document, such as names, dates, and addresses ...

人类具有强大的智能，人工智能的研究者很早就希望通过模拟人类智能来实现机器智能。

AI and robotics in nutritional testing are transforming food safety, allergen detection, and nutrient analysis with faster, automated lab workflows.