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Ai-reveals-stress-levels-in-farmed-amazonian-fish,-new-study-shows

AI Reveals Stress Levels in Farmed Amazonian Fish, New Study Shows

In a groundbreaking advancement merging aquaculture and artificial intelligence, researchers from São Paulo State University (UNESP) in Jaboticabal have unveiled a novel AI-driven tool designed to accurately assess stress levels in tambaqui (Colossoma macropomum), the most extensively farmed native fish species in Brazil. This innovation not only promises to enhance animal welfare standards within intensive
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Anesthesia-practice-shift-scheduling-with-a-generative-deep-learning-model-|-cureus

Anesthesia Practice Shift Scheduling With a Generative Deep Learning Model | Cureus

Home Specialties Specialties Browse Articles Posters Abstracts Cureus Collections Specialties Allergy / Immunology Anatomy Anesthesiology Cardiac / Thoracic / Vascular Surgery Cardiology Dentistry Dermatology Emergency Medicine Endocrinology / Diabetes / Metabolism Environmental Health Epidemiology / Public Health Family / General Practice Forensic Medicine Gastroenterology General Surgery Genetics Geriatrics Healthcare Technology Health Policy Hematology HIV /
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Unpacking-ai’s-invisible-rules:-a-frog’s-perspective-–-startuphub.ai

Unpacking AI’s Invisible Rules: A Frog’s Perspective – StartupHub.ai

September 7, 2025, 10:49 am IDT Cristopher Moore, a distinguished professor from the Santa Fe Institute with a diverse background spanning physics, computer science, and machine learning, recently sat down with Machine Learning Street Talk at the Diverse Intelligences Summer Institute. The conversation explored the surprising efficacy of current AI models, the inherent structure of
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Humans-and-ai-share-similar-learning-strategies-–-neuroscience-news

Humans and AI Share Similar Learning Strategies – Neuroscience News

Summary: Researchers found that humans and AI share a similar interplay between two learning systems: flexible, quick in-context learning and gradual incremental learning. Experiments showed that AI could develop in-context learning abilities after extensive incremental practice, much like humans do. Both also displayed trade-offs between flexibility and retention, with harder tasks strengthening memory while easier
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