Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...

Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Wastewater management reverses widespread freshwater deoxygenation in China

Freshwater ecosystems worldwide have been suffering from declining oxygen levels—a trend known as deoxygenation—that ...
Securities.io

Crypto Security Needs Market-Aware Phishing Detection

In the modern age where most assets and valuable information are digitalized, phishing scams are an important way criminals steal money, much higher than “normal” physical robbery & extortion, with up ...
The Banker

Banks and regulators clash over ‘black box’ AI credit risk

Earlier this year when a UK Treasury Committee released a report warning that regulators’ complacency on AI in financial ...
STAT

Your sepsis algorithm shouldn’t require a time machine

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every ...
IEEE

Exploration of Stacking Ensemble Learner (SEL) Modeling with XGBoost and SVM algorithms on Predicting Stock Price

Abstract: The fluctuating characteristics of stock prices indicate high stock market volatility. Therefore, a method is needed that can overcome these problems by providing more accurate predictions ...
IEEE

Machine Learning based Hybrid Technique for Cyber Attack Prediction in VANET

Abstract: This paper introduces a hybrid machine learning-based framework that combines the Random Forest and the XGBoost machine learning algorithms for effective prediction of cyber-attacks in ...
The Lancet

AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study

aDepartment of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany bUniversity Department of Anesthesiology and Intensive Care Medicine, ...
Wired

Jeff Bezos Is Funding a Wild Hunt for the Brain’s ‘Core Algorithm’

Rob Williams knows how to pitch Jeff Bezos: You write a press release as if your product has already been built. Bezos reads it and gives a thumbs up or down. Williams went through this process a lot ...