When making decisions and judgments, humans can fall into common "traps," known as cognitive biases. A cognitive bias is ...

Computer science student Jack Luo is "the kind of person who'll build you a custom AI tool just because you mentioned a problem, then take you on a midnight ride to watch the city lights." ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Microsoft CTO Kevin Scott has some advice for AI startups waiting for the next breakthrough model: the technology can already do far more than most people are getting out of it, so stop waiting and ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Abstract: Large amounts of digital data are produced daily through society’s use of government and private companies. Digital transformation contributes to the increasing amount of structured and ...

All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Gizmodo may earn an affiliate commission. Reading time 4 minutes The ...