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, ...

Johns Hopkins Study Challenges Billion-Dollar AI Models

Choosing the right blueprint can accelerate learning in visual AI systems. Artificial intelligence systems built with biologically inspired structures can produce activity patterns similar to those ...
Tech Xplore on MSN

Taming chaos in neural networks: A biologically plausible way

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...
JSTOR Daily

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

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 ...
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 ...
Scientific American

Could Symbolic AI Unlock Human-like Intelligence?

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

How Does AI Work? Understanding the Basics of Artificial intelligence

If you are curious and want to learn how does AI work, well, follow our detailed explainer on Artificial Intelligence's ...

Transformer AI models outperform neural networks in stock market prediction, study shows

Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make decisions in financial markets. AI models have the ability to analyze massive ...