Japan group to launch AI service for saury size predictions
japantimes.co.jp·9h
🧮Kolmogorov Bounds
How Movies Increasingly Drive Streaming Revenue
hollywoodreporter.com·1d
🌊Streaming Systems
Unlocking Faster Insights with Experimenter-Defined Segmentations
etsy.com·3d
📝Document Chunking
Att&Df: Update the Operating System's "Dead Drop"
zenodo.org·3d·
Discuss: Hacker News
🛡️eBPF Security
The Alien Artifact: DSPy and the Cargo Cult of LLM Optimization
data-monger.com·15h·
Discuss: Hacker News
🔍Vector Forensics
Thinking on upgrade my "microlab"
preview.redd.it·3d·
Discuss: r/homelab
🖥Home Lab Setup
Work in content? You should be using AI for alt text
tk.gg·2d·
Discuss: Hacker News
📄PostScript
Running new applications on old glibc
lightofdawn.org·3d·
Discuss: Hacker News
🔗Static Linking
The Future of Bathroom Luxury: How AI and Freestanding Baths Are Redefining Modern Design
dev.to·11h·
Discuss: DEV
🏠Home Automation
Fundamental engineering principles can help identify disease biomarkers more quickly
phys.org·17h
⚙️systems theory
IKNet: Interpretable Stock Price Prediction via Keyword-Guided Integration of News and Technical Indicators
arxiv.org·2d
🧠Learned Indexing
Unraveling LCRE-Mediated Chromatin Loops: A Predictive Model for Gene Expression Fine-Tuning in Desert Genomes
dev.to·1d·
Discuss: DEV
📥Feed Aggregation
Prototyping Real-time Social Sentiment with Python
dev.to·11h·
Discuss: DEV
📊Feed Optimization
Tech With Tim: Why 1M People Tried This AI Coding Tool (Full Vibe Coding Tutorial)
dev.to·1d·
Discuss: DEV
🚀Indie Hacking
Title: Anthropic's Claude AI Model Now Supports Longer Prompts with a Million-Token Context Window
dev.to·9h·
Discuss: DEV
🤖Lisp Machines
Kurzgesagt - In a Nutshell: AI Slop Is Destroying The Internet
dev.to·3h·
Discuss: DEV
📰Content Curation
Real-Time Visualization of Glial Glymphatic Clearance Dynamics via Multi-Modal Deep Learning Fusion
dev.to·2d·
Discuss: DEV
🧲Magnetic Resonance
From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning
arxiv.org·5d
🧠Machine Learning
A Comparative Study of Vision Transformers and CNNs for Few-Shot Rigid Transformation and Fundamental Matrix Estimation
arxiv.org·5d
📊Quantization
Efficient Test-Time Scaling for Small Vision-Language Models
arxiv.org·5d
🗜️LZW Variants