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 ...
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.
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.
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Fascinating new neuroscience model predicts intelligence by mapping the brain’s internal clocks
A new study suggests that the brain processes information with high efficiency by synchronizing the physical wiring of neural ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ logic gates. Networks programmed directly into computer chip hardware can ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
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