Quantum computing: secure in the long term thanks to QKD
heise.de·9h
🔐Quantum Security
Meet Mojo: The Language That Could Replace Python, C++, and CUDA
hackernoon.com·15h
⬆️Lambda Lifting
Real-time AI Unleashed: The Power of Time-Series and Vector Database Synergy
dev.to·1d·
Discuss: DEV
📈Time Series
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
arxiv.org·18h
⚛️Quantum Codes
Iterative Quantum Feature Maps
arxiv.org·18h
⚛️Quantum Circuits
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.org·18h
🌀Fractal Compression
Uncertainty Quantification on Graph Learning: A Survey
arxiv.org·18h
🕸️Graph Embeddings
Amplifying Machine Learning Attacks Through Strategic Compositions
arxiv.org·1d
⚔️Lean Tactics
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.org·18h
💻Local LLMs
LoLA-SpecViT: Local Attention SwiGLU Vision Transformer with LoRA for Hyperspectral Imaging
arxiv.org·1d
⧗Information Bottleneck
From Zero to One: A Complete Guide to Implementing WeChat Sharing in HarmonyOS
dev.to·14h·
Discuss: DEV
⚡Modern Compression
Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
arxiv.org·18h
🌀Riemannian Computing
Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection
arxiv.org·1d
👁️Perceptual Hashing
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences
arxiv.org·1d
🧠Neural Codecs
LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images
arxiv.org·1d
🧠Neural Compression
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
arxiv.org·18h
💻Local LLMs
GLIMPSE: Gradient-Layer Importance Mapping for Prompted Visual Saliency Explanation for Generative LVLMs
arxiv.org·18h
📊Learned Metrics
Machine Learning Fundamentals: accuracy tutorial
dev.to·2d·
Discuss: DEV
📊Feed Optimization
Scalable Machine Learning Algorithms using Path Signatures
arxiv.org·1d
🧠Machine Learning
Flame Graph Performance Truth Analysis（1750839255230100）
dev.to·14h·
Discuss: DEV
⚡Performance Tools