Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Social engagement: Playing an analog game typically brings students together. Initial student interactions are functional: ...
Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
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Mini-batch gradient descent in deep learning explained
Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Abstract: The proposed motion cueing algorithm (MCA), based on a reinforcement learning algorithm using gradient information to directly update the control policy, introduces three significant ...
Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer ...
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