Instead of applying the two-step algorithmic memory retrieval on the rather static energy landscape of the original Hopfield network model, the researchers describe a dynamic, input-driven mechanism.

Researchers at the University of Southern California have made a significant breakthrough in understanding how the human brain forms, stores and recalls visual memories. A new study, published in ...

Thus, the phase-change memory's ability to adopt a state between 1 and 0 allows it to directly model the behavior of neurons. To use this for training, a grid of phase-change memory bits can be ...

Local memory and storage can play an important role. Local cached content allows content delivery without burdening Internet networks. On-chip memory also speeds up AI applications and reduces ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Exercise activates memory neural networks in older adults. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2019 / 04 / 190425104310.htm. University of Maryland.