A new technical paper titled “Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware” was published by researchers at Purdue University, Pennsylvania State ...

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

Training algorithm breaks barriers to deep physical neural networks. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 12 / 231207161444.htm ...

Recently, a research team led by Prof. GAO Xiaoming from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed an intelligent neural network algorithm that ...

The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...

They've developed neural network algorithms that do a much better job of reproducing images taken from functional MRI scans. ... Neural network learns to reproduce what your brain sees.

A new type of neural network that’s capable of adapting its underlying behavior after the initial training phase could be the key to big improvements in situations where conditions can change ...

At the event, Tesla CEO Elon Musk said squeezing more performance out of the computer system used to train the company’s neural network will be key to progress in autonomous driving. “If it ...