New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
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Fascinating new neuroscience model predicts intelligence by mapping the brain’s internal clocks
Your brain keeps time on multiple scales. New research reveals that synchronizing these internal clocks with the brain’s physical structure is crucial for efficient thought and cognitive flexibility.
Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human ...
Veronika Koren talks about pursuing a theory of neural coding that doesn’t fit a simple narrative, and the resilience it took to see it through.
The proposed RC method with generalized readout is based on generalized synchronization, offering enhanced accuracy and robustness while preserving the simplicity and efficiency of conventional RC.
How useful a memory is for future situations determines where it resides in the brain, according to a new theory proposed by researchers at HHMI"s Janelia Research Campus and collaborators at UCL. The ...
Neural networks are emerging as transformative tools in the field of material sciences by providing new avenues for constitutive modelling. Integrating advanced algorithms with physics-based insights, ...
The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...
The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail end ...
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