Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
ascopubs.org

Mitigating Algorithmic Bias in Cancer Site Classification Models

Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer Integrating artificial intelligence in cancer ...
ascopubs.org

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of ...

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) ...
The American Journal of Managed Care

Predictive Models for Low Birth Weight: A Comparative Analysis of Algorithmic Fairness ...

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: ...

Code Over Collateral: The Rise And Risk Of Algorithmic Stablecoins

What are algorithmic stablecoins? Discover how code, smart contracts, and market psychology maintain a peg, and why these assets are prone to "death spirals." ...