Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Degradable pacemakers and artificial neurons showcase how flexible, tissue-compatible electronics are revolutionising medicine. But translating these materials from lab bench to clinic requires solvin ...
Poster Presentation at the 2026 Crohn's & Colitis Congress® Showcases Use of Causal Machine Learning and IBD Plexus® to ...
AI has evolved significantly, shifting from narrow, task-specific automation to advanced Cognitive Intelligence Platforms ...
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
Advancements in Building Energy Modeling This year’s Building Simulation conference really dug into how we can make ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...
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