The intersection of artificial intelligence and mechanistic neuroscience is rapidly transforming our understanding of neural ...
UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape chronic disease prevention and personalized care.
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Rachel Pizzolato highlights three models showcasing fashion designs at a fancy function, blending style, poise, and energy. When coyotes threatened livestock on central Texas ranches, the solution was ...
Solana leads upside potential with 500% bull case projections vs 480% for Ethereum and 200% for XRP. Ethereum provides the best risk-adjusted return with 170% base case upside and institutional floor ...
Abstract: The dynamic variation of the stock market plays a crucial role in assessing a country’s economic power and development. Modeling the chaotic fluctuations in stock prices aids investors and ...
Abstract: EEG-based seizure prediction enables timely treatment for patients, but its performance is limited by the difficulty in effectively characterizing the temporal dynamics of epileptic brain ...
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