Overview: Functional programming prevents unintended data changes, reducing errors in large systems.Pure functions improve testing accuracy because outputs depe ...

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.

Open source has always had issues, but the benefits outweighed the costs/risks. AI is not merely exponentially accelerating tasks, it is disproportionately increasing risks.

Learn how to improve coding assignments with clear documentation, better structure, and professional formatting for higher grades and clarity.

Many neurons in the primary visual cortex are tuned to orientation, and their responses as a function of orientation, known as tuning curves, are typically bell-shaped (Fig. 1a). From these tuning ...

Abstract: This paper presents an adaptive command filtered control scheme using composite auxiliary signals for a class of uncertain strict-feedback nonlinear systems subject to input saturation. To ...

Abstract: This article addresses the challenge of designing robust controllers for uncertain systems subject to multiple input and state constraints. A nonlinear ...

This is an evaluation set for the problem of directed/targeted test input generation, especially targeting Large Language Models (LLMs). The goal of directed test input (a.k.a. targeted test input) ...

conda create -n freecond python=3.9 -y conda activate freecond pip install -r requirements.txt # (optional) SAM dependency for IoU Score computation curl --proto ...