technocracy

Predicting the stress-strain behaviors of additively manufactured materials is crucial for part qualification in additive manufacturing (AM). Conventional physics-based constitutive models often oversimplify material properties, while data-driven machine learning (ML) models often lack physical consistency and interpretability. To address these issues, we propose a physics-informed machine learning (PIML) framework to improve the predictive performance and physical consistency for predicting the stress-strain curves of additively manufactured polymers and metals. A polynomial regression model is used to predict the yield […]

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arXiv:2602.16844v1 Announce Type: new Abstract: To enable human oversight, agentic AI systems often provide a trace of reasoning and action steps. Designing traces to have an informative, but not overwhelming, level of detail remains a critical challenge. In three user studies on a Computer User Agent, we investigate the utility of basic action traces for verification, explore three alternatives via design probes, and test a novel interface’s impact on error finding in question-answering tasks. As expected, we find […]

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The life of a prescription at Amazon Pharmacy From pricing estimation and regulatory compliance to inventory management and chatbot assistants, machine learning models help Amazon Pharmacy customers stay healthy and save time and money. Conversational AI Alexandre Alves Anita Vila September 30, 01:32 PM October 02, 11:42 AM Pharmacies play a vital role in ensuring patients health, but the process of dispensing medications is far more complex than it may appear. At Amazon Pharmacy, we are using artificial […]

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High performers often expose friction—and then get blamed for it.

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In 2018, Google popularized Single Activity Architecture as the modern way to build Android apps. Like many other teams, we adopted it across our entire codebase. Eight years later, after running large-scale production apps, we partially reversed that decision. This article explains why single-activity architecture broke down for us at scale, where multiple activities still make sense, and how a hybrid approach helped us regain stability, modularity, and development velocity. This isn’t about contradicting Google’s recommendations—it’s about adapting […]

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:::info Astounding Stories of Super-Science October 2022, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. THE MURDER OF ROGER ACKROYD – THE WHOLE TRUTH Astounding Stories of Super-Science October 2022: THE MURDER OF ROGER ACKROYD – THE WHOLE TRUTH By Agatha Christie ::: A slight gesture from Poirot enjoined me to stay behind the rest. I obeyed, going over to the fire and thoughtfully stirring the big […]

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In this paper, we study Interaction-Grounded Learning (IGL) [Xie et al., 2021], a paradigm designed for realistic scenarios where the learner receives indirect feedback generated by an unknown mechanism, rather than explicit numerical rewards. While prior work on IGL provides efficient algorithms with provable guarantees, those results are confined to single-step settings, restricting their applicability to modern sequential decision-making systems such as multi-turn Large Language Model (LLM) deployments. To bridge this gap, we propose a computationally efficient algorithm […]

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arXiv:2602.12436v1 Announce Type: new Abstract: Barrier certificates, a form of state invariants, provide an automated approach to the verification of the safety of dynamical systems. Similarly to barrier certificates, recent works explore the notion of closure certificates, a form of transition invariants, to verify dynamical systems against $omega$-regular properties including safety. A closure certificate, defined over state pairs of a dynamical system, is a real-valued function whose zero superlevel set characterizes an inductive transition invariant of the system. […]

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