HTTP/3: The Next Evolution of Web Protocols
corero.comยท4h
๐ŸŒNetwork Protocols
An Overview of Modern Memory Management Architectures in LLM Agents
vinithavn.medium.comยท2dยท
Discuss: Hacker News
๐Ÿ’พPersistence Strategies
Hardware Stockholm Syndrome
programmingsimplicity.substack.comยท20hยท
Discuss: Substack
๐Ÿ”ฉSystems Programming
We built a CUDA emulator that profiles GPU code with zero hardware
rightnowai.coยท20hยท
Discuss: Hacker News
๐ŸŽฏEmulator Accuracy
From Segments to Concepts: Interpretable Image Classification via Concept-Guided Segmentation
arxiv.orgยท16h
๐Ÿง Machine Learning
The future of your code is no-code
pleasedontdeploy.comยท1dยท
Discuss: Hacker News
๐Ÿ“Code Metrics
Activation Steering with a Feedback Controller
arxiv.orgยท16h
โœจEffect Handlers
Beginner's guide to making AI useful in production
medium.comยท9hยท
Discuss: Hacker News
โšกProof Automation
Bound-Preserving WENO Schemes for Temple-class systems
arxiv.orgยท16h
๐ŸŽฏPerformance Proofs
Efficient Test-Time Scaling for Small Vision-Language Models
arxiv.orgยท16h
๐Ÿ—œ๏ธLZW Variants
Prompting Techniques for Specialised LLMs
gg.forem.comยท2dยท
Discuss: DEV
โš–๏ธConstraint Logic
Retrv-R1: A Reasoning-Driven MLLM Framework for Universal and Efficient Multimodal Retrieval
arxiv.orgยท1d
๐Ÿ—‚๏ธVector Search
PoLi-RL: A Point-to-List Reinforcement Learning Framework for Conditional Semantic Textual Similarity
arxiv.orgยท16h
๐Ÿ—‚๏ธVector Search
Wave-PDE Nets: Trainable Wave-Equation Layers as an Alternative to Attention
arxiv.orgยท16h
๐ŸŒ€Differential Geometry
Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking
arxiv.orgยท1d
๐ŸงฎKolmogorov Complexity
From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents
arxiv.orgยท16h
๐Ÿ”ฒCellular Automata
Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks
arxiv.orgยท16h
๐Ÿ•ธ๏ธGraph Embeddings
Cost Efficient Fairness Audit Under Partial Feedback
arxiv.orgยท16h
๐ŸŒธBloom Variants
Enhanced Electrochemical Performance Prediction for Li-S Batteries via Multi-Modal Data Fusion and HyperScore Analysis
dev.toยท1dยท
Discuss: DEV
๐Ÿง Machine Learning
You Don't Know RAG. You Know Simple RAG.
dev.toยท13hยท
Discuss: DEV
๐ŸŒ€Brotli Internals