{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Artificial Neural Network — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"<div style=\"font-family:sans-serif;border:1px solid #e0e0e0;border-radius:8px;padding:16px;max-width:600px;background:#ffffff;color:#111111;\"><p style=\"margin:0 0 4px;font-size:11px;color:#666;\">AI Glossary — gaks.ai</p><h3 style=\"margin:0 0 8px;font-size:16px;\">Artificial Neural Network (ANN)</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">A computational model loosely inspired by the structure of the human brain, consisting of layers of interconnected nodes that process and transform data. ANNs are the foundation of modern deep learning and power most of today's advanced AI systems.  See also: backpropagation, activation function, deep learning.</p><a href=\"https://gaks.ai/glossary/artificial-neural-network\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/artificial-neural-network →</a></div>"}