Simple statistical method predicts landslide risk more accurately than classic method

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
AHA/ASA Journals

2026 Guideline for the Early Management of Patients With Acute Ischemic Stroke: A Guideline From the American Heart Association/American Stroke Association

AIM: The “2026 Guideline for the Early Management of Patients With AIS” replaces the “2018 Guidelines for the Early Management of Patients With AIS” and the 2019 update to reflect recent advances in ...
NFL

NFL playoff picture: Postseason probabilities entering Week 15 of the 2025 season

Next Gen Stats 2025 All-Pro Team: Myles Garrett, Texans duo lead defense; plus, special teamers With the NFL regular season in the books, which players were the best of the best at each position?
IGN

Don't Expect the Steam Machine Price to Follow a 'Console Pricing Model' of $500

Valve’s announcement of the Steam Machine has sparked much debate online about the company’s return to the PC in the living room space, but one key piece of information remains unknown: price. The ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
GitHub

mohansree14/Bayesian-Deep-Learning-for-Probabilistic-Financial-Forecasting

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
C&EN

Machine learning helps density functional theory model molecules accurately

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...
IEEE

Integrating Machine Learning Models With Probability Distribution Methods for Extreme Flood Risk Assessment

Abstract: Climate change exacerbates flooding risks, a frequent and devastating natural calamity, particularly in flood-prone regions such as Pakistan. Constraints on computation and inadequate data ...
IEEE

AnaCraft: Duel-Play Probabilistic-Model-based Reinforcement Learning for Sample-Efficient PVT-Robust Analog Circuit Sizing Optimization

Abstract: Recent advancements in machine learning offer the potential for finding faster and robust optimization approaches for analog circuit design automation. However, fully automated yet fast and ...
Frontiers

Construction of a prediction model for sarcopenic obesity based on machine learning

1 Department of Health Care/Geriatrics, Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China 2 Qingdao University, Qingdao, Shandong Province, China Background: In the context ...
Wired

This AI Model Never Stops Learning

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...
Hosted on MSN

Logistic Regression Machine Learning Example ¦ Simply Explained

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...