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

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 ...

One quick thinking Helldivers 2 player finds a unique and random way to completely eliminate fall damage, likely saving 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 ...

Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...

Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

This course explores the foundations of wearable technology and how it shapes healthcare, fitness, and everyday ...

Using a custom "camera-to-rice" platform combined with deep-learning methods for feature extraction, matching, segmentation, and denoising, the system ...

A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative production. By aligning semantic understanding with template ...

Discover the best cloud ETL tools for data engineers in 2025. Compare features, pricing, and use cases as we explore the most effective data integration solutions for modern organizations with ...

Python is a great language for automating everyday tasks, from managing files to interacting with websites. Libraries like ...

Unlike typical AI tools, NotebookLM is designed to help you interact with sources you upload to notebooks. This means the best way to use NotebookLM efficiently is by populating your notebooks with ...