InfoWorld

North Korea’s ‘Job Test’ trap upgrades to JSON malware dropboxes

The long-running Contagious Interview campaign is now hiding BeaverTail and InvisibleFerret payloads inside JSON storage services.
Analytics Insight

10 Exciting MLOps Projects Every Beginner Should Try in 2025

Overview: Model development requires structured deployment and monitoring to remain reliable over time.Consistent data and environment control prevent accuracy ...

3 Engineer-Approved AI Tools to Master ‘Vibe Coding’ — and 7 Steps to Use Them

"Vibe coding" appeared in early 2025 to describe the simple idea of programming with AI tools. So I tested a range of them — ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Deep Learning with Yacine on MSN

Easy Python Project: Machine Learning on EEG Time-Series – Part 0

Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for beginners looking to explore brain signal analysis! #MachineLearning #EEG #PythonP ...
IEEE

MLXOps4Medic: A Service Framework for Machine Learning and Explainability Operations in Medical Imaging AI Development

Integrating AI models with the medical domain is challenging as it involves more complex workflows compared to traditional machine learning operations (MLOps). Requirements such as model performance ...
Tech Xplore

Student trust in AI coding tools grows briefly, then levels off with experience

How much do undergraduate computer science students trust chatbots powered by large language models like GitHub Copilot and ChatGPT? And how should computer science educators modify their teaching ...
C&EN

Study on the Adsorption Performance of Ionic Liquids Based on Molecular Dynamics and Interpretable Machine Learning

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
EurekAlert!

Geophysical-machine learning tool for continuous subsurface geomaterials characterization

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...
GitHub

mohdanas86/Forecasting-Materials-Demand-with-Machine-Learning

A comprehensive machine learning-powered inventory forecasting system for POWERGRID Corporation, designed to predict material requirements, optimize procurement planning, and prevent stockouts through ...
C&EN

Phenolic Profile as a Powerful Machine Learning Tool for Identification, Traceability, and Quality Control of Olive Cultivars

University of Teramo, Department of Bioscience and Technology for Food, Agriculture and Environment, Via Renato Balzarini 1, Teramo 64100, Italy ...
IEEE

Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach

Abstract: Several domains increasingly rely on machine learning in their applications. The resulting heavy dependence on data has led to the emergence of various laws and regulations around data ...