This paper presents a software ecosystem enabling consistent development environments for running workflows across diverse hardware platforms.

The paper introduces Rotary GPU, an exploratory execution approach demonstrating that large Mixture-of-Experts models can be run locally on consumer GPUs with limited VRAM, achieving usable decode thr…

This paper identifies and discusses twelve technical challenges that need to be addressed to safely and effectively scale drone technology for commercial use.

This paper introduces the ProofAgent Index (PAI), a governance readiness index for AI agents, combining evaluation, context, compliance, and governance dimensions for production readiness.

The paper introduces Science Earth, a planet-scale scientific runtime that enables diverse, siloed AI capabilities to connect and collaborate dynamically, demonstrating that scientific discovery can b…

The paper introduces Hyperparam, a set of lightweight JavaScript libraries designed to enable direct, model-aware querying of unstructured data (like agent traces) within client-side AI applications.

The paper introduces a data-centric optimization pipeline to improve coding agents' ability to interact with a branching lakehouse, showing significant accuracy gains by treating agent evaluation as a…

Teaching Software Engineering for AI-enabled systems

The paper introduces Aethelgard, a novel four-layer adaptive governance framework that enforces least privilege by learning the minimum necessary capabilities for autonomous AI agents based on their i…

The authors evaluate the autonomous penetration capabilities of 19 LLMs in a realistic cyberattack scenario.

This paper proposes the Computational Assessment Stack (CAS), a four-layer architecture for AI-native measurement in test development.

The paper details significant enhancements to the SONARR system's core logic, replacing restrictive Boolean logic with generic data type support and adding multi-compute capabilities to improve vulner…

This paper presents a systematic review of the impact of AI on software engineering and proposes a framework for AI-native software engineering.

This paper evaluates the feasibility and cost-effectiveness of large-scale AI data centers in low-Earth orbit (LEO) versus terrestrial facilities, considering factors like launch cost, power generatio…

The paper proposes a language called Grassmann that bridges coordinate-independent linear algebra and coordinate-dependent implementations.

This paper reports on SciGMark 1.5, a benchmark study of specialized and generic implementations in modern languages, examining the consequences of various generic-realization strategies and extending…