Dot Physics on MSN

Python physics tutorial: Modeling 1D motion with loops

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

Why LLMs are plateauing – and what that means for software security

AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...
How-To Geek on MSN

5 powerful Python one-liners that will make you a better coder

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...
Security Boulevard

Hackers Use LLM to Create React2Shell Malware, the Latest Example of AI-Generated Threat

Darktrace researchers say hackers used AI and LLMs to create malware to exploit the React2Shell vulnerability to mine ...
GitHub

Streaming Apache Iceberg examples using Apache Spark

AWS Managed Kafka and Apache Kafka, a distributed event streaming platform, has become the de facto standard for building real-time data pipelines. However, ingesting and storing large amounts of ...
GitHub

PLAID (Protein Latent Induced Diffusion)

PLAID is a multimodal generative model that can generate protein sequence and all-atom structure based on conditional function and taxonomic prompts. Please see our ...
IEEE

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Abstract: Training deep neural networks (DNNs) with altered data, known as adversarial training, is essential for improving their robustness. A significant challenge emerges as the robustness ...