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λ Functional Programming

Category theory, Monads, Pure functions, Type systems

Assembly_verify
philipzucker.com·4d·
Discuss: Lobsters, Hacker News, r/programming
🐫OCaml
Understanding Matrices | Part 3: Matrix Transpose
towardsdatascience.com·2d
🔍Parsers
SQL Optimization Practices Episode 3: Outer Join Optimization: Proven Performance Gains
dev.to·2d·
Discuss: DEV
0️⃣Zero-Copy
What Are the Hidden Gotchas of Serverless Inferencing Deployment?
dev.to·1d·
Discuss: DEV
🪶suckless
DARE: Diverse Visual Question Answering with Robustness Evaluation
arxiv.org·3d
🔍Parsers
Sequential Bayesian Design for Efficient Surrogate Construction in the Inversion of Darcy Flows
arxiv.org·1d
🐫OCaml
CLAMP: Contrastive Learning with Adaptive Multi-loss and Progressive Fusion for Multimodal Aspect-Based Sentiment Analysis
arxiv.org·1d
🔍Parsers
Creating a Creative Logo Generator Using Google AI Studio & Gemini
dev.to·8h·
Discuss: DEV
🐫OCaml
Prompt Power-Up: Master AI Prompts for Seamless Code Migrations
dev.to·1d·
Discuss: DEV
🔍Parsers
Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems
arxiv.org·1d
🔍Parsers
Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance
arxiv.org·1d
🔍Parsers
The Rise of Agentic AI: Frontend Dev Tools That Act for You in 2025
dev.to·8h·
Discuss: DEV
🔍Parsers
UrbanPulse: A Cross-City Deep Learning Framework for Ultra-Fine-Grained Population Transfer Prediction
arxiv.org·10h
🕸️WASM
MindBuddy AI – How I built a mental health tutor with Kiro
dev.to·1d·
Discuss: DEV
🐫OCaml
Bolt.new top 50 AI driven app builders (until 51 go live)
dev.to·13h·
Discuss: DEV
❄️Nix Flakes
Multimodal Fusion via Hypergraph Autoencoder and Contrastive Learning for Emotion Recognition in Conversation
arxiv.org·10h
🔍Parsers
Is Qwen3-MT the Game-Changing Translation Model We've Been Waiting For?
dev.to·11h·
Discuss: DEV
🕸️WASM
Court Battles Spark an Unexpected AI Movement: Fairness by Design
hackernoon.com·1d
🔍Parsers
Securing AI APIs and Frontends | AI Security series
dev.to·15h·
Discuss: DEV
🪶suckless
Probing Vision-Language Understanding through the Visual Entailment Task: promises and pitfalls
arxiv.org·1d
🔍Parsers
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