The BMJ

When I use a word . . . Artificial intelligence—predicting and detecting adverse drug reactions

The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of ...

Goldman Sachs: Thank God The Apple Saga Is Over

Goldman Sachs is upgraded to BUY, with 10% total return potential and exceptional momentum following a strategic pivot. GS's ...
Mirage News

Boosting Poison Attack Defense in Federated Learning

Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal ...
European Medical Journal

Machine Learning Explains Global Cancer Survival Inequality

Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
IEEE

Soft Gradient Boosting with Learnable Feature Transforms for Sequential Regression

Abstract: We propose a soft gradient boosting framework for sequential regression that embeds a learnable linear feature transform within the boosting procedure. At each boosting iteration, we train a ...
Scientific Research Publishing

Alcolea, A. and Resano, J. (2021) FPGA Accelerator for Gradient Boosting Decision Trees. Electronics, 10, Article No. 314.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
The New York Times

Google’s Quantum Computer Makes a Big Technical Leap

Designed to accelerate advances in medicine and other fields, the tech giant’s quantum algorithm runs 13,000 times as fast as software written for a traditional supercomputer. A quantum computer at ...
IEEE

Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market

Abstract: An accurate prediction of imbalance prices is crucial for making well-informed decisions within short-term energy markets. This study proposes a two-stage probabilistic framework for the ...