Python Backtesting Pain Points: Data, Execution Assumptions, and Evaluation

Explore common Python backtesting pain points, including data quality issues, execution assumptions, and evaluation ...
The Lancet

Beyond artificial intelligence psychosis: a functional typology of large language model-associated psychotic phenomena

A man breached Windsor Castle with a crossbow after his large language model (LLM)-based companion encouraged an assassination plan. A father’s question about pi evolved into more than 300 h of ...
IEEE

UAV Image Classification: A Comparative Evaluation of CNN Models

Abstract: Aerial image classification plays a vital role in applications such as building footprint extraction, water/soil analysis, 3D reconstruction. Accurate classification enables timely ...
InfoWorld

19 large language models redefining AI safety—and danger

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.
IEEE

IoT Device Classification Using Hybrid Stacking Machine Learning Model on IoT Network Traffic Data

Abstract: In the expanding domain of the Internet of Things (IoT), accurately classifying devices is essential for ensuring secure and efficient network management. As IoT networks increase in size ...
InfoWorld

JetBrains launches Air and Junie CLI for AI-assisted development

Air is an environment for managing multiple coding agents side by side, while Junie CLI is a coding agent that supports Anthropic, OpenAI, Google, and other LLMs.