AI tool helps scientists quickly identify fungi with flexible lifestyles in ecosystems

Fungi are the hidden architects of our ecosystems, acting as everything from helpful partners for plants to aggressive ...
Frontiers

Research on intelligent fracturing parameter optimization method based on deep learning and construction curve feature extraction

Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
housedigest

Shopping For A New Washing Machine? Here Are Features You Don't Want To Miss Out On

We may receive a commission on purchases made from links. Shopping for a new washing machine is a big task, whether you've got a big budget to work or if you're trying to find quality washing machines ...
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 ...
Frontiers

PlgFormer: parallel extraction of local-global features for AD diagnosis on sMRI using a unified CNN-transformer architecture

Introduction: Structural magnetic resonance imaging (sMRI) is an important tool for the early diagnosis of Alzheimer's disease (AD). Previous methods based on voxel, region of interests (ROIs) or ...
marktechpost

Meet Trackio: The Free, Local-First, Open-Source Experiment Tracker Python Library that Simplifies and Enhances Machine Learning Workflows

Experiment tracking is an essential part of modern machine learning workflows. Whether you’re tweaking hyperparameters, monitoring training metrics, or collaborating with colleagues, it’s crucial to ...
IEEE

HMM-Based Feature Extraction and Machine Learning Methods for Event Detection and Classification in Microgrids

Abstract: The increasing penetration of inverter-based distributed generation (DG) into power grids improves access to electricity and provides a significant possibility for decarbonization. However, ...