Because neural network algorithms solve problems in whatever ways they can manage, they sometimes arrive at solutions that aren’t particularly useful – and it can take an expert to detect how and ...

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 ...

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 ...

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 ...

Artificial neural networks -- algorithms inspired by connections in the brain -- have 'learned' to perform a variety of tasks, from pedestrian detection in self-driving cars, to analyzing medical ...

Future work will be aimed at perfecting the algorithms and neural networks with an eye to reconstructing dynamic vision. In addition, the researchers are looking at how to use the fMRI imaging ...

“This neural network algorithm made it way easier and more reliable to detect multiple gases at the same time,” said Prof. GAO. The research results were published in ACS Sensors.