AWS raises prices for short-term rentals of GPUs in several regions

Amazon Web Services has increased the prices of EC2 Capacity Blocks for machine learning, including for Nvidia's (NVDA) GPUs.
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Empirical Analysis for Crime Prediction and Forecasting Using Machine Learning and Deep Learning Techniques

Abstract: Crime and violation are the threat to justice and meant to be controlled. Accurate crime prediction and future forecasting trends can assist to enhance metropolitan safety computationally.
Neuroscience News

Machine Learning Doubles Depression Remission Rate

Summary: A pioneering, first-of-its-kind study demonstrated that a personalized, machine-learning-guided lifestyle coaching program can nearly double the remission rates of mild-to-moderate depression ...
Risk

Demand deposit balance prediction models under the interest rate risk in the banking book guidelines: an empirical analysis integrating time-series models and machine learning ...

This paper explores the critical importance of the interest rate risk in the banking book (IRRBB) regulations set forth by the Basel Committee on Banking Supervision. It emphasizes the need for ...
CNBC

Here's how AI could influence the Fed's economic outlook

Members of the Federal Open Market Committee are factoring rising labor productivity in their economic forecasts. In a long-run "unbounded growth" scenario where AI is fully developed, up to 23% of ...
technologynetworks

The Future of Liver Health: Can Human Models and Machine Learning Reduce Disease Rates?

October represents a month of liver awareness, marked by many countries as a time to reflect on an incredibly resilient, yet vulnerable, organ. Liver disease is a growing problem worldwide, but ...
Frontiers

Predictive value of the stone-free rate after percutaneous nephrolithotomy based on multiple machine learning models

This study aimed to develop three types of machine learning (ML) models based on gradient boosting decision tree (GBDT), random forest (RF), and extreme gradient boosting (XGBoost) to explore their ...
The Washington Post

AI hasn’t killed radiology, but it is changing it

In 2017, Ezekiel Emanuel, a well-known oncologist and health policy commentator, said radiologists would soon be out of work thanks to machine learning. That hasn’t happened, but although artificial ...
C&EN

Machine Learning Prediction of the Corrosion Rate of Zinc-Based Alloys Containing Copper, Lithium, Magnesium, and Silver

Implementation of machine learning (ML) techniques in materials science often requires large data sets. However, a proper choice of features and regression methods allows the construction of accurate ...
IEEE

Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases

Abstract: The mortality rate due to chronic pediatric respiratory diseases is increasing every year and it is important to assess the severity of these diseases. As symptoms of several pediatric ...