LLMs and Beyond: All Roads Lead to Latent Space
aiprospects.substack.com·5h·
Discuss: Substack
💻Local LLMs
Harmonic Emergence: Decentralized AI Swarms Composing Musical Masterpieces by Arvind Sundararajan
dev.to·19h·
Discuss: DEV
🎼Computational Musicology
Data-Efficient Psychiatric Disorder Detection via Self-supervised Learning on Frequency-enhanced Brain Networks
arxiv.org·1d
📊Quantization
Evaluating LLM Alignment on Personality Inference from Real-World Interview Data
arxiv.org·11h
🧠Intelligence Compression
🗺️ Go Maps Deep Dive — Part 1: The Secrets Behind O(1) Performance, Overflows, and Growth
dev.to·4h·
Discuss: DEV
Redis Internals
CRUDAdmin – Modern admin interface for FastAPI
github.com·2h·
Discuss: Hacker News
🔌Archive APIs
CECT-Mamba: a Hierarchical Contrast-enhanced-aware Model for Pancreatic Tumor Subtyping from Multi-phase CECT
arxiv.org·11h
🧠Machine Learning
FlowECG: Using Flow Matching to Create a More Efficient ECG Signal Generator
arxiv.org·1d
🌊Stream Processing
libicns v0.8.1 Heap Buffer Overflow in libicns ICNS Parsing (icns2png)
seclists.org·1d
Format Verification
Hyper-Spectral Anomaly Detection via Iterative Markov-Chain Refinement
dev.to·1h·
Discuss: DEV
🌸Bloom Variants
Enhanced Genome Sequencing Accuracy via Adaptive Hyperdimensional Neural Networks (AHNNs)
dev.to·1d·
Discuss: DEV
🚀SIMD Text Processing
A Transformer-Based Cross-Platform Analysis of Public Discourse on the 15-Minute City Paradigm
arxiv.org·1d
⚖️Feed Ranking
Novel Ferroresonant Transformer Fault Diagnostic via Adaptive Spectral Analysis and Machine Learning
dev.to·5h·
Discuss: DEV
📊Frequency Analysis
Publishing to PyPI: My ML Preprocessing Package for Newbies
dev.to·1d·
Discuss: DEV
🔓Decompilation
Large Language Models Imitate Logical Reasoning, but at what Cost?
arxiv.org·11h
🧠Computational Logic
Neural Diffeomorphic-Neural Operator for Residual Stress-Induced Deformation Prediction
arxiv.org·11h
🌀Differential Geometry
HARP: Hallucination Detection via Reasoning Subspace Projection
arxiv.org·1d
🌳Context free grammars
RadarLLM: Adapting Pretrained Large Language Models for Marine Radar Target Detection with Preference-aware Loss
arxiv.org·1d
🎵Audio ML