AI isn't getting smarter, it's getting more power hungry - and expensive

Frontier models such as OpenAI's GPT depend mostly on increasing computing power rather than smarter algorithms, according to a new MIT report. Here's why that matters.
The American Journal of Managed Care

Predictive Models for Low Birth Weight: A Comparative Analysis of Algorithmic Fairness–Improving Approaches

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...
Space.com

New algorithm slashes time to run most sophisticated climate models by 10-fold

Climate models can be a million lines of code long and can take months to run on supercomputers. A new algorithm has dramatically shortened that time. When you purchase through links on our site, we ...
ascopubs.org

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials

In total, 5,708 patients from five randomized phase III trials were included. Two MMAI algorithms were evaluated: (1) the distant metastasis (DM) MMAI model optimized to predict risk of DM, and (2) ...