Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...
EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems. In a series of image classification experiments, ...
Harvard affiliates developed a silicon chip that successfully mapped more than 70,000 synaptic connections from 2,000 rat neurons, advancing a new recording technology to complement existing neural ...
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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 ...
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