Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...
Researchers build fleeting memory transformers with human-like memory decay, proving memory limits help AI learn grammar ...
Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few ...
How motivation shapes memory formation While past studies have shown that motivation can enhance learning, the authors explain that not all motivation works the same way. Instead, different ...
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Forgetting may be the secret to better AI language learning
Giving AI a human-like memory limitation may actually help it learn language better. In their new proof-of-principle study, ...
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 ...
In our age of information overload, remembering things can be a daunting task. But as a memory researcher and college professor, I’ve found some hope in that challenge. In January 2021, like millions ...
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