Show HN: I built an edge ML system to detect and classify trick-or-treaters
🔮Type Inference Visualization
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Petri Dish Neural Cellular Automata
🔀Concurrency Models
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·1d
🔍ML Language
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NumPy for Absolute Beginners: A Project-Based Approach to Data Analysis
towardsdatascience.com·9h
📈Performance Tools
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Beyond Standard LLMs
🔄Subinterpreters
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Performance Analysis of Single-Antenna Fluid Antenna Systems via Extreme Value Theory
arxiv.org·50m
📡Async Channels
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·1d
🪜Recursive Descent
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When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMs
arxiv.org·50m
🔍ML Language
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GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arxiv.org·1d
⚡Partial Evaluation
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Token-Regulated Group Relative Policy Optimization for Stable Reinforcement Learning in Large Language Models
arxiv.org·1d
🪜Recursive Descent
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Automated Simulation Anomaly Detection via Multi-Modal Graph Analysis and Reinforcement Learning
🎭Erlang OTP
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Balancing Interpretability and Performance in Motor Imagery EEG Classification: A Comparative Study of ANFIS-FBCSP-PSO and EEGNet
arxiv.org·1d
∀Quantified Types
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Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis
arxiv.org·1d
✨Effect Inference
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