XDA Developers on MSN

5 Python libraries that completely changed how I automate tasks

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...
eWeek

LangChain AI Vulnerability Exposes Millions of Apps

A critical LangChain AI vulnerability exposes millions of apps to theft and code injection, prompting urgent patching and ...
Physics World

Physics-based battery model parameterization from impedance data

Join the audience for a live webinar at 3 p.m. GMT/10 a.m. EST on 21 January 2026 Discover the role of impedance analysis in advancing battery-model development ...
AlphaGalileo

PlantIF: Revolutionizing plant disease diagnosis with multimodal learning for precision agriculture

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
InfoQ

Nuxt Introduces Native Request Cancellation and Async Handler Extraction for Performance Gains

Nuxt 4.2 elevates the developer experience with native abort control for data fetching, improved error handling, and ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Build Faster with Auto Claude, Open Source AI That Plans, Codes & Syncs with GitHub

Stay in flow with Auto Claude using multi-terminal tools and session restore, so you run tests and pick up where you left off ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...