LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

For generations, writing up a summary of a patient exam was a vital step for physicians trying to make an accurate diagnosis.

Professors Emma Alexander, Manling Li, Han Liu, Marcelo Worsley, and their students represented Northwestern CS at CVPR 2026 ...

While there have been many sober warnings about AI and recursive self-improvement, Arianna Huffington argues that it is a ...

Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

Until recently, AI’s role in research felt like having a useful assistant. It could summarise a paper, clean up a dataset or draft an abstract. Researchers were still in charge of the thinking. That ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Bayesian regression with linear basis function models. Introduction to Bayesian linear regression. Implementation with plain NumPy and scikit-learn. See also PyMC3 implementation. Gaussian processes.

Data science is the most dynamic and lucrative field of technology today, as the demand for data-driven decision-making is rising. In 2025, data scientists will leverage even more sophisticated tools, ...