The Cool Down

Researchers make groundbreaking discovery that could reshape the future of plastic recycling: 'A significant practical advancement'

Researchers from Washington and Puerto Rico found that an AI recycling system that pairs spectroscopy with deep learning dramatically improves plastic sorting accuracy.
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

Silicon Valley Wants to Build A.I. That Can Improve A.I. on Its Own

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...
InfoWorld

16 open source projects transforming AI and machine learning

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
BMJ Quality & Safety

Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...
IEEE

Optimizing Currency Classification and Counterfeit Detection with Machine Learning Algorithms

Abstract: Currency classification and counterfeit detection are crucial for protecting financial security and combating fraud. Traditional detection methods often rely on manual checks or ...
IEEE

Data-Driven Machine Learning Models for Enhanced Fetal Health Classification and Monitoring

Abstract: Fetal health classification plays a critical role in prenatal care by identifying potential risks and ensuring timely intervention. This study explores the application of multi-class ...