TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·5d
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[Deep Dive] How We Solved Poker: From Academic Bots to Superhuman AI (1998-2025)
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Tetris: An SLA-aware Application Placement Strategy in the Edge-Cloud Continuum
arxiv.org·2d
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Optimizing the nnU-Net model for brain tumor (Glioma) segmentation Using a BraTS Sub-Saharan Africa (SSA) dataset
arxiv.org·2h
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It Doesn’t Need to Be a Chatbot
towardsdatascience.com·2d
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When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs
arxiv.org·1d
⭐Awesome lists
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flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R
arxiv.org·2d
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How I Built a 95% Accurate Defect Detection System with an ESP32-CAM and Python
🖥Home Lab Setup
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
arxiv.org·2d
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Enhanced Intrusion Detection via Adaptive Ensemble of Federated Generative Adversarial Networks
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Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis, Solution, and Interpretation
arxiv.org·1d
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NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
arxiv.org·1d
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Neural Transparency: Mechanistic Interpretability Interfaces for Anticipating Model Behaviors for Personalized AI
arxiv.org·2d
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Systematizing LLM Persona Design: A Four-Quadrant Technical Taxonomy for AI Companion Applications
arxiv.org·2h
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Beyond Basic RAG: AI Agents for Context-Aware Responses
thenewstack.io·15h
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