📈 Time Series

Temporal Data, Compression Algorithms, Forecasting, Storage Optimization

Nor’easter set to batter East Coast with rain, winds, floods and travel chaos over holiday weekend
the-independent.com·1d
📡Feed Security
Codeminer42 Dev Weekly #82
blog.codeminer42.com·2d
🎯Gradual Typing
From Millions to Billions
geocod.io·4d·
Discuss: Hacker News
🗄️Database Internals
I'd like to speak to the Bellcore ManaGeR
ninakalinina.com·6h·
Discuss: Lobsters, Hacker News
📟Terminals
We can just do things together
leaflet.pub·1d·
Discuss: Hacker News
📡BGP Archaeology
Systems as Mirrors
iamstelios.com·14h·
Discuss: Hacker News
⚙️Proof Engineering
3 stunning Dolby Atmos movies to treat your home theater with this Halloween, and they sound best on 4K Blu-ray
techradar.com·4h
📦Digital Cinema Package
From Source to Sorcery – Kotlin Native's Interop Magic
staticvar.dev·4h·
Discuss: Lobsters, Hacker News
💧Liquid Types
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.org·3d
🔨Compilers
Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain Encoding
arxiv.org·2d
🧠Neural Codecs
Deep Learning-Driven Spatial Tau Oligomer Profiling for Early Alzheimer's Diagnosis
dev.to·1d·
Discuss: DEV
🔍Vector Forensics
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
Subject-Adaptive Sparse Linear Models for Interpretable Personalized Health Prediction from Multimodal Lifelog Data
arxiv.org·6d
🧠Machine Learning
DPA-Net: A Dual-Path Attention Neural Network for Inferring Glycemic Control Metrics from Self-Monitored Blood Glucose Data
arxiv.org·3d
🧠Machine Learning
The Library Method: Understanding @cache
dev.to·2d·
Discuss: DEV
⚡Cache Theory
TALENT: Table VQA via Augmented Language-Enhanced Natural-text Transcription
arxiv.org·3d
🎙️Whisper
I need your input on my NAS build
reddit.com·1d·
Discuss: r/homelab
🖥️Hardware Architecture
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
arxiv.org·2d
🧮Theorem Proving
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·22h·
Discuss: DEV
📊Multi-vector RAG
Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal Understanding
arxiv.org·3d
🎬AV1 Encoding