A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

Infectious diseases continue to pose significant challenges to public health systems worldwide, particularly in settings where resources, surveillance ...

Foundational models address a fundamental flaw in bespoke AI. But foundational and large language models have limitations. GPT-3, BERT, and DALL·E 2 garnered gushing headlines, but models like these ...

Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of ...