Simulations and experiments meet: Machine learning predicts gold nanocluster structures

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
InfoWorld

Databricks adds MemAlign to MLflow to cut cost and latency of LLM evaluation

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...
Frontiers

An interpretable machine learning model for predicting sepsis risk in ICU patients with non-traumatic subarachnoid hemorrhage: development and validation using the MIMIC-IV ...

1 Graduate School of Xinxiang Medical University, Xinxiang, China 2 Department of Neurosurgical Intensive Care Unit, Henan Provincial People’s Hospital, Zhengzhou, China Objective: This study aimed to ...
GitHub

codemaker2015/zenml-classification-pipeline-demo

zenml_classifier/ ├── README.md # This file ├── pyproject.toml # Project configuration & dependencies ├── requirements.txt # Python package dependencies │ ├── pipeline.py # Main ZenML orchestration ...
IEEE

Deploying Deep Learning for Real-Time Tsunami Monitoring: A CNN-LSTM Model for Sensor-Based Prediction

Abstract: Early detection of tsunamis is essential for disaster risk reduction and minimizing loss of life. This research introduces an advanced deep learning-based tsunami detection model that ...
Associated Press

Trump threatens to use the Insurrection Act to end protests in Minneapolis

Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. President Donald Trump threatened to invoke an ...
IEEE

Carbon Emission Quantification of Machine Learning: A Review

Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...
Frontiers

Development of an interpretable machine learning model for early prediction of aortic stiffness risk in health examination populations

Background: Carotid-femoral pulse wave velocity (cfPWV) is the gold standard for assessing aortic stiffness, but its complexity, time consumption, and privacy concerns limit its application in routine ...