Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2301.13807/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTIdentifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search — mentioned by im_down_w_otphttps://news.ycombinator.com/item?id=34957835urn:hackerpapers:mention:2301.13807:34957835Mon, 27 Feb 2023 15:53:32 GMT<p>As a non-ad tech example, a significant component to what we&#x27;re trying to do at https://www.auxon.io is provide tech to companies they can use for testing &amp; analysis of robots and cyber-physical systems. From our perspective internally what we&#x27;re getting is the ability to perform something akin to &quot;materials science&quot; for the increasingly critical software parts of these systems and construct models of their behavior to use for predictive &amp; comparative analysis purposes. We have a research partnership with the University of Ottawa &amp; University of Luxembourg specifically on the statistical…</p><p><a href="https://hackerpaper.kaipfister.de/p/2301.13807/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.SE