Researchers have developed a new kind of artificial neuron—called infomorphic neurons—that can independently learn and ...

(AI). It involves training artificial neural networks to learn and make decisions from large amounts of data. Deep learning algorithms are modeled after the structure and function of the human brain, ...

A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.

A team from Jiuhua Laboratory in China has developed a novel "Electronic Structure-Infused Network (ESIN)" model that accurately predicts the photoluminescence quantum yield (PLQY) of organic ...

Unsupervised machine learning and deep neural networks were then applied to correlate molecular topographies and energy distributions. The system was trained on a pseudo-structure database ...

Repeat, repeat, and repeat. A neural network refers to the multi-layered algorithmic structure that underpins deep learning — and, more broadly, the whole boom in generative AI tools following ...

To learn more about the deepest reaches of our own galaxy and the mysteries of star formation, Japanese researchers have ...