Showing cs.AIShow all
3 papers · 1 filter
cs.AI2026
A Rapid Pipeline for Training and Deploying ML Models on WeBe Band
Ehsan Kourkchi, Asmita Asmita, Houman Homayoun +1
Developing optimized machine-learning algorithms for edge devices with limited computational and memory resources is challenging, time-consuming, and highly dependent on device-spe…
cs.AI2026
Directed Neuro-Symbolic Stochastic Execution for Verification of Distributed Parallel AI Programs
Gautham Koorma, Vikas Sharma, George Edwards +1
Distributed parallel Artificial Intelligence (AI) programs expose reliability gaps that conventional testing cannot close: parallel executions are non-deterministic, and AI workloa…
cs.AI2026
SAGE: Safety-First Defense-in-Depth Guardrails for Verified Lifecycle Control of High-Impact Generative AI
Mahdi Eslamimehr
High-impact generative AI makes catastrophic misuse a lifecycle-control problem, not merely a prompt-filtering problem. SAGE is a safety-first, authorization-separated architecture…