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Geometry behind how AI agents learn revealed
A new study from the University at Albany shows that artificial intelligence systems may organize information in far more ...
Discover how cutting-edge smart toilet technology is revolutionizing digestive health and medical diagnosis. This video ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Many small businesses use AI, but have you ever wondered how they work and where AI models get their data from?
Interpretability is the science of how neural networks work internally, and how modifying their inner mechanisms can shape their behavior--e.g., adjusting a reasoning model's internal concepts to ...
AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...
The acquisition and expression of Pavlovian conditioned responding are shown to be lawfully related to objectively specifiable temporal properties of the events the animal is learning about.
Boardroom priorities are shifting from financial metrics toward technical oversight. Although market share and operational ...
Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...
Shared meanings create institutions with real power. They also enable us to construct personal narratives that give our lives ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
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