📼 Tape Combinators

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

Collaborations Workshop 2025 Report
software.ac.uk·1h
📇Dublin Core
ML in the Home
blog.raymond.burkholder.net·3d
📈Time Series
Opportunity knocks: getting your house in order for the AI action plan
techradar.com·19h
🌊Stream Processing
AI Improves at Improving Itself Using an Evolutionary Trick
spectrum.ieee.org·21h
⚡Incremental Computation
Show HN: What it took to make QKD work in RAM
qsymbolic.com·20h·
Discuss: Hacker News
🔐Quantum Security
[D] Applying COCONUT continuous reasoning into a learnt linear layer that produces sampling parameters (temp, top-k, top-p, etc.) for the current token?
reddit.com·3d·
Discuss: r/MachineLearning
💻Local LLMs
How Your Cheese-Powered Baby Trounces AI
jessicanordell.substack.com·12h·
Discuss: Substack
🔲Cellular Automata
Multicontinuum Homogenization for Poroelasticity Model
arxiv.org·6h
🌀Differential Geometry
Self-Adapting Language Models: The Future of AI That Learns to Learn
dev.to·18h·
Discuss: DEV
🧠Machine Learning
Performance improvement of spatial semantic segmentation with enriched audio features and agent-based error correction for DCASE 2025 Challenge Task 4
arxiv.org·6h
🎵Audio ML
"Who Should I Believe?": User Interpretation and Decision-Making When a Family Healthcare Robot Contradicts Human Memory
arxiv.org·6h
🎯Threat Hunting
How Good Are Synthetic Requirements ? Evaluating LLM-Generated Datasets for AI4RE
arxiv.org·6h
🌀Brotli Internals
From Drawings to Decisions: A Hybrid Vision-Language Framework for Parsing 2D Engineering Drawings into Structured Manufacturing Knowledge
arxiv.org·3d
⟷Bidirectional Programming
Improving Stochastic Cubic Newton with Momentum
arxiv.org·6h
🧠Machine Learning
Scaffolding Dexterous Manipulation with Vision-Language Models
arxiv.org·2d
🤖Advanced OCR
Learning-aided Bigraph Matching Approach to Multi-Crew Restoration of Damaged Power Networks Coupled with Road Transportation Networks
arxiv.org·2d
🕸️Graph Algorithms
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
arxiv.org·6h
🧠Machine Learning
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework
arxiv.org·6h
💻Local LLMs
ColumnTransformer and Pipelines in Scikit-Learn: Clean, Scalable, and Powerful Preprocessing
dev.to·14h·
Discuss: DEV
🌊Streaming Compression
Learning to Be a Transformer to Pinpoint Anomalies
arxiv.org·6h
🤖Grammar Induction