Tech Xplore on MSN
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 ...
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 ...
Discover how cutting-edge smart toilet technology is revolutionizing digestive health and medical diagnosis. This video ...
Many small businesses use AI, but have you ever wondered how they work and where AI models get their data from?
AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...
Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...
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 ...
Interview insights explain how GLP-1R agonists access brain regions governing reward, motivation, and stress. Animal studies ...
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 ...
Boardroom priorities are shifting from financial metrics toward technical oversight. Although market share and operational ...
Morning Overview on MSN
‘It’s extremely dangerous’: Why the godfather of AI is ringing the alarm
The scientist who helped teach machines to see and speak now spends much of his time warning that those same systems could spin out of human control. Geoffrey Hinton, often called the godfather of AI, ...
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.
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