BIOENGINEER

Deep Neural Networks Rapidly Predict the Performance of Touch-Mode MEMS Pressure Sensors

Researchers trained a deep multilayer perceptron on finite element and numerical data to predict the performance of a ...
Phys.org

DNA-based neural network learns from examples to solve problems

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead ...
Phys.org

Novel graph neural network models enhance precipitation forecasting

In the AI era, pure data-driven meteorological and climate models are gradually catching up with and even surpassing traditional numerical models. However, significant challenges persist in current ...
BIOENGINEER

Chaotic neural networks lock onto each other in finite time to secure audio streams

Researchers report a finite-time synchronization framework for bidirectional associative memory fuzzy cellular neural networks with time delays, turning provably fast chaos-locking into a tool for ...
techtarget

Machine learning vs. neural networks: What's the difference?

Machine learning and neural networks are two common terms in AI -- but what do they mean, and how do they differ? What exactly is machine learning? Machine learning is a subset of AI. ML uses an ...