📼 Tape Combinators

Sequential Programming Models, Linear Processing, Magnetic Computation, Storage Abstractions

ML in the Home
blog.raymond.burkholder.net·2d
📈Time Series
Primitive Kolmogorov complexity is computable
lewish.io·2d·
Discuss: Hacker News
🧮Kolmogorov Complexity
Driving cost-efficiency and speed in claims data processing with Amazon Nova Micro and Amazon Nova Lite
aws.amazon.com·17h
🌊Stream Processing
Probing AI Safety with Source Code
arxiv.org·6h
✨Effect Handlers
Reflective VLM Planning for Dual-Arm Desktop Cleaning: Bridging Open-Vocabulary Perception and Precise Manipulation
arxiv.org·2d
⚙️Modern Assembly
Data Compression with Relative Entropy Coding
arxiv.org·3d
📐Compression Mathematics
HashMap in Java
dev.to·3d·
Discuss: DEV
🌳Trie Structures
VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
arxiv.org·2d
🏭Compiler Backends
MMSearch-R1: Incentivizing LMMs to Search
arxiv.org·6h
🔍BitFunnel
Counterfactual Influence as a Distributional Quantity
arxiv.org·6h
🎯Arithmetic Coding Theory
Bilinear MLPs enable weight-based mechanistic interpretability
arxiv.org·6h
📊Quantization
On the convergence of computational methods for the online bin stretching problem
arxiv.org·2d
🎯Performance Proofs
Computation of Immediate Neighbours of Monotone Boolean Functions
arxiv.org·2d
🔲Cellular Automata
Computer Vision based Automated Quantification of Agricultural Sprayers Boom Displacement
arxiv.org·6h
🏺Computational Archaeology
Quantizing for Noisy Flash Memory Channels
arxiv.org·2d
🛡️Preservation Proofs
🧠 My First Rosetta Stone: When OrKa Proved AI Can Think Structurally
dev.to·1d·
Discuss: DEV
⚡Proof Automation
Splitformer: An improved early-exit architecture for automatic speech recognition on edge devices
arxiv.org·2d
🌊Streaming Compression
Beyond Frameworks: How Computer Science Fundamentals Forge the Complete Developer
dev.to·20h·
Discuss: DEV
📏Code Metrics
RL-Driven Semantic Compression Model Selection and Resource Allocation in Semantic Communication Systems
arxiv.org·2d
⧗Information Bottleneck
Industrial Energy Disaggregation with Digital Twin-generated Dataset and Efficient Data Augmentation
arxiv.org·6h
🧠Machine Learning