arXiv:2601.10839v1 Announce Type: new Abstract: We consider an inverse shape problem arising in electrical impedance tomography (EIT) for nondestructive testing, in which interior defects are modeled through Robin transmission conditions. Unlike classical formulations, we impose Robin boundary conditions on both the exterior measurement surface and the interior interface, and use the Robin-to-Dirichlet (RtD) map as the available data. Within this setting, we develop qualitative (non-iterative) reconstruction methods based on the Linear Sampling Method (LSM) and the Regularized Factorization […]

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Why fast systems fail while everything still appears to be working Fast-moving systems rarely look broken. They deploy. n They scale. n They pass tests. n Dashboards stay green. From the outside, the architecture looks solid. But this is exactly when systems fail. The most dangerous debt in modern systems doesn’t slow execution. n It misroutes it. Teams spend years learning how to manage technical debt. Refactoring code, cleaning up dependencies, hardening infrastructure. That work matters. But it […]

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Polycystic Ovary Syndrome (PCOS) is a widespread disorder in women of reproductive age, characterized by a hormonal imbalance, irregular periods, and multiple ovarian cysts. Infertility, metabolic syndrome, and cardiovascular risks are long-term complications that make early detection essential. In this paper, we design a powerful framework based on transfer learning utilizing DenseNet201 and ResNet50 for classifying ovarian ultrasound images. The model was trained on an online dataset containing 3856 ultrasound images of cyst-infected and non-infected patients. Each ultrasound […]

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OpenAI Frontier is an enterprise platform for building, deploying, and managing AI agents with shared context, onboarding, permissions, and governance.

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## What I’ve learned building an agent for Renovate config (as a cautious skeptic of AI) By @mend [ 9 Min read ] As an opportunity to “kick the tyres” of what agents are and how they work, I set aside a couple of hours […]

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I’ve been building auth systems for a while now, and there’s this debate that keeps coming up: JWTs or sessions? Every tutorial forces you to pick one, then spends 2000 words explaining why the other one is terrible. Here’s the thing though: this entire debate is pointless. You don’t have to choose. There’s a third option that gives you the best of both, and honestly, it’s simpler than either approach on its own. Let me show you what […]

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Finalist teams advance in the Amazon Nova AI Challenge: Trusted AI Track Top eight university teams move on to head-to-head finals focused on AI security for code generation. Conversational AI Staff writer June 24, 02:11 PM June 30, 02:49 PM Since November 2024, ten top university teams from around the world have competed in the inaugural Amazon Nova AI Challenge: Trusted AI Track, focused on strengthening security in AI coding assistants and developing new automated methods to red-team […]

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arXiv:2601.20079v1 Announce Type: new Abstract: Heat-pipe microreactors (HPMRs) are compact and transportable nuclear power systems exhibiting inherent safety, well-suited for deployment in remote regions where access is limited and reliance on costly fossil fuels is prevalent. In prior work, we developed a design optimization framework that incorporates techno-economic considerations through surrogate modeling and reinforcement learning (RL)-based optimization, focusing solely on minimizing the levelized cost of electricity (LCOE) by using a bottom-up cost estimation approach. In this study, we […]

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arXiv:2601.05478v1 Announce Type: new Abstract: To reliably assist human decision-making, LLMs must maintain factual internal beliefs against misleading injections. While current models resist explicit misinformation, we uncover a fundamental vulnerability to sophisticated, hard-to-falsify evidence. To systematically probe this weakness, we introduce MisBelief, a framework that generates misleading evidence via collaborative, multi-round interactions among multi-role LLMs. This process mimics subtle, defeasible reasoning and progressive refinement to create logically persuasive yet factually deceptive claims. Using MisBelief, we generate 4,800 instances […]

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