Google is killing the open web
wok.oblomov.eu·2d·
Discuss: Lobsters, Hacker News, Hacker News, r/webdev
🕸️WASM
The Weight of Watching: On Digital Consciousness and Observation
dev.to·2d·
Discuss: DEV
λFunctional Programming
🚀 Introducing OTel Sandbox: Your Zero-Config OpenTelemetry Playground
dev.to·2d·
Discuss: DEV
🕸️WASM
Informative Post-Hoc Explanations Only Exist for Simple Functions
arxiv.org·3d
λFunctional Programming
Segmenting Thalamic Nuclei: T1 Maps Provide a Reliable and Efficient Solution
arxiv.org·2d
🐫OCaml
Real-Time Task Scheduling Optimization via Adaptive Resource Allocation in Embedded IoT Nodes
dev.to·2d·
Discuss: DEV
🕸️WASM
Characterizing Community Formation in Response to Extreme Weather Events through Human Mobility Networks
arxiv.org·1d
🕸️WASM
Bio-Based Fertilizer Optimization via Microbial Consortia Predictive Modeling
dev.to·2d·
Discuss: DEV
0️⃣Zero-Copy
Volumetric Stability Enhancement in Sn-Cu Alloys via Dynamic Phase Modulation & Microstructural Control
dev.to·2d·
Discuss: DEV
🦀Rust
Work Faster in Gmail with Slashit Smart Dynamic Templates Inside Your Inbox
dev.to·2d·
Discuss: DEV
0️⃣Zero-Copy
How to Convert ML Models to ONNX Format: A Complete Guide
dev.to·5d·
Discuss: DEV
🕸️WASM
Enhanced Fatigue Life Prediction of High-Entropy Alloys via Multi-Scale Bayesian Optimization
dev.to·3d·
Discuss: DEV
📈Optimization
Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems
arxiv.org·2d
λFunctional Programming
MoE-TTS: Enhancing Out-of-Domain Text Understanding for Description-based TTS via Mixture-of-Experts
arxiv.org·3d
🔍Parsers
The Future of Financial Forecasting: Integrating Consumer Sentiment with AI
dev.to·1d·
Discuss: DEV
λFunctional Programming
Python Behind the Scenes - Understanding Code Execution Flow
dev.to·4d·
Discuss: DEV
🪶suckless
Deep Learning-Based Automated Segmentation of Uterine Myomas
arxiv.org·3d
📦Nixos
AI-Driven Flavor Pairing via Probabilistic Resonance Mapping for Novel Recipe Generation
dev.to·3d·
Discuss: DEV
λFunctional Programming
Generative AI: Under the hood
dev.to·3d·
Discuss: DEV
🔍Parsers
Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models
arxiv.org·3d
🐫OCaml