But unlike most quants, I run a concentrated, fundamentals-based portfolio. More than 50% of my fund is invested in only eight companies, and they're the kinds of stocks that Peter Lynch and Charlie ...

Bank of America Global Research C-Suite TMT Conference June 10, 2026 6:25 AM EDTCompany ParticipantsPhilipp Herzig - Global Chief ...

Abstract: Prediction models for disease onset are critical in biomedical research and survival analysis. With machine learning methods increasingly being used to handle survival data with censoring, ...

Abstract: The present work demonstrates a landslide hazard zonation technique based on a machine learning algorithm of Extreme Gradient Boosting (XGboost). The XGboost algorithm uses a multi-parameter ...

Machine learning algorithms create potentially more accurate models than linear models, but any increase in accuracy over more traditional, better-understood, and more easily explainable techniques is ...

Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade ...

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...