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In this work, we study the mechanical behavior of solids with microstructure using the framework of Cosserat elasticity with a single unit director. This formulation captures the coupling between deformation and orientational fields that arises in many structured materials. To compute equilibrium configurations of such media, we develop two complementary computational approaches: a finite element formulation based on variational principles and a neural network-based solver that directly minimizes the total potential energy. The neural architecture is constructed to […]

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LLMs can explain terminals but fail to use them. New research shows data engineering—not bigger models—drives real gains on Terminal-Bench 2.0.

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Hey folks, I’m building a dynamic pricing engine for a multi-store app. We deal with massive seasonality swings (huge peak seasons (spring/fall and on weekends), nearly dead low seasons (winter/summer and at the start of the week) alongside steady YoY growth. We’re using thompson sampling to optimize price ladders for item “clusters” (e.g., all 12oz Celsius cans) within broader categories (e.g., energy drinks). To account for cannibalization, we currently use the total gross profit of the entire category […]

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Questions for developers: “What’s the one area you’re afraid to touch?” “When’s the last time you deployed on a Friday?” “What broke in production in the last 90 days that wasn’t caught by tests?” Questions for the CTO/EM: “What feature has been blocked for over a year?” “Do you have real-time error visibility right now?” “What was the last feature that took significantly longer than estimated?” Questions for business stakeholders: “Are there features that got quietly turned off […]

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As machine learning (ML) systems increasingly shape access to credit, jobs, and other opportunities, the fairness of algorithmic decisions has become a central concern. Yet it remains unclear when enforcing fairness constraints in these systems genuinely improves outcomes for affected groups or instead leads to "leveling down," making one or both groups worse off. We address this question in a unified, population-level (Bayes) framework for binary classification under prevalent group fairness notions. Our Bayes approach is distribution-free and […]

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Large Language Models (LLMs) have demonstrated impressive capabilities in a wide range of code generation tasks. However, generating code for certain domains remains challenging. One such domain is Computer-Aided Design (CAD) program, where the goal is to produce scripted parametric models that define object geometry for precise design and manufacturing applications. A key challenge in LLM-based CAD program generation is the limited geometric complexity of generated shapes compared to those found in real-world industrial designs. This shortfall is […]

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Hey, everyone, is anyone from the sub going to ISBI this year? I have a paper accepted and will be giving an oral presentation. Would love to meet and connect in London for ISBI this year. submitted by /u/Marion-De [link] [comments]

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