Gradient Descent, Convex Optimization, Stochastic Methods, Loss Functions

Learning From the Past: What Automation Mistakes Can Teach Us About AI
devops.com·9h
🤖Automation
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Code Rewrites Often Solve the Wrong Problem
stevenstuartm.com·11h·
Discuss: DEV
🎭Program Synthesis
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Benchmark for Agent Context Engineering (2025)
tarasyarema.com·1d·
Discuss: Hacker News
💬Prompt Engineering
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Getting started with Robotics
dev.to·3h·
Discuss: DEV
🤖Robotics
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SORTeD Rashomon Sets of Sparse Decision Trees: Anytime Enumeration
arxiv.org·5d
🔴Red-Black Trees
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Adaptive Beamforming Optimization via Multi-Metric Bayesian HyperScore
dev.to·3d·
Discuss: DEV
🔢NumPy
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Risk Management in the Age of AI Trading Tools
dev.to·3h·
Discuss: DEV
💰TigerBeetle
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Taming Time-Delayed Chaos: Linearizing the Unpredictable
dev.to·2d·
Discuss: DEV
🧮Algebraic Effects
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Associative Poisoning to Generative Machine Learning
arxiv.org·1d
🛡️AI Security
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Using Jest and LLM assistance to test your real-time chat
dev.to·18m·
Discuss: DEV
Property Testing
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Federated Learning in 2025: What You Need to Know
dev.to·2d·
Discuss: DEV
📱Edge AI
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Building an Intelligent System
pub.towardsai.net·2d
🎭Program Synthesis
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Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape
arxiv.org·6d
🔢NumPy
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DevMind - AI-Powered Developer Second Brain
dev.to·1d·
Discuss: DEV
ClickHouse
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Non-Asymptotic Optimization and Generalization Bounds for Stochastic Gauss-Newton in Overparameterized Models
arxiv.org·4d
🔬Deep Learning
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Enhanced Weather Forecasting via Spatio-Temporal Graph Neural Networks and Bayesian Calibration
dev.to·19h·
Discuss: DEV
⏱️Time Series Analysis
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Knowledge-based anomaly detection for identifying network-induced shape artifacts
arxiv.org·1d
📱Edge AI
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