Replenish your jigsaw puzzle stash with these 25 puzzles
modernmrsdarcy.comยท1d
๐Suffix Arrays
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What Are the Key Components That Do Sales Work?
smallbiztrends.comยท18h
๐Supply Chain
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Stop Chasing DeFi Yields and Start Doing the Math
coindesk.comยท18h
๐ฐTigerBeetle
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<p>**Abstract:** This paper presents a novel approach to automated adaptive feedforward control for ultrasonic wire bonding of gold wires, addressing the inhere...
freederia.comยท1d
๐ฏReinforcement Learning
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<p>**Abstract:** This paper introduces a novel framework for digitally mapping and replicating allosteric responses in cellular mechanotransduction pathways. Fo...
freederia.comยท21h
๐งฎAlgebraic Effects
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<p>**Abstract:** This research proposes a novel framework for automating the verification and synthetic data generation for high-dimensional geospatial risk mod...
freederia.comยท1d
๐MLOps
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Algorithmic Fairness Auditing via Dynamic Contrastive Learning in Personalized Recommendation Systems
๐ฏReinforcement Learning
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Which Chip Is Best?
๐Performance
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PETRA: Pretrained Evolutionary Transformer for SARS-CoV-2 Mutation Prediction
arxiv.orgยท1d
๐ง Machine Learning
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Design-Based Supply Chain Operations Research Model: Fostering Resilience And Sustainability In Modern Supply Chains
arxiv.orgยท3d
๐จDesign Systems
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LazyLLM, Easiest and laziest way for building multi-agent LLMs applications
๐ฌPrompt Engineering
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Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories
arxiv.orgยท1d
๐ง Machine Learning
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Going Beyond Expert Performance via Deep Implicit Imitation Reinforcement Learning
arxiv.orgยท2d
๐ฏReinforcement Learning
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Terminal-Bench 2.0 launches alongside Harbor, a new framework for testing agents in containers
venturebeat.comยท9h
๐๏ธCranelift
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LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training
๐ฌPrompt Engineering
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Algorithmic Assistance with Recommendation-Dependent Preferences
arxiv.orgยท4d
๐ฐTigerBeetle
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The Rise of the Specialist: Why Small Language Models are the Future of Enterprise AI
๐ฑEdge AI
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GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arxiv.orgยท4d
๐ฆOllama
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