Science Daily

Training algorithm breaks barriers to deep physical neural networks

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...
JSTOR Daily

Impact of Artificial Neural Networks Training Algorithms on Accurate Prediction of Property ...

The Journal of Real Estate Research, Vol. 40, No. 3 (July – September 2018), pp. 375-418 (44 pages) This study extended the use of artificial neural networks (ANNs) training algorithms in mass ...
Tech Xplore on MSN

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Frontiers

Algorithm-Hardware Co-Optimization in Neuromorphic Computing for Efficient AI

Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...
technologynetworks

Training Neural Circuits-in-a-Dish Early Makes for Sharper Responses

When it comes to training neural circuits for tissue engineering or biomedical applications, a new study suggests a key parameter: Train them young. Techniques for training engineered neural circuits ...
Seeking Alpha

MicroAlgo Inc. Develops Quantum Neural Networks Integrated with Grover's Algorithm to ...

SHENZHEN, China, March 13, 2025 /PRNewswire/ -- MicroAlgo Inc. (MLGO) (the "Company" or "MicroAlgo"), today announced that their research team has used quantum neural networks to classify and extract ...