Don’t eat PuPu. It’s not worth it
ff8isthe.best·1d
🐹Golang
Flag this post
Caitlyn Stone
nasa.gov·22h
🔧Dotnet
Flag this post
Lift the Cloud of Brain Fog
psychologytoday.com·1d
🔧Dotnet
Flag this post
Show HN: inbox.dog – AI agents for Gmail support that sort, reply, and escalate
inbox.dog·22h·
Discuss: Hacker News
🔧Dotnet
Flag this post
How to Achieve 4x Faster Inference for Math Problem Solving
developer.nvidia.com·4d
🔧Dotnet
Flag this post
Implementing E Unification using SMT
philipzucker.com·4d
🐹Golang
Flag this post
Finite State Machines and how to build any step by step flow in React From theory to practice
blog.codeminer42.com·2d
🔧Dotnet
Flag this post
Building a Social Network Analyzer with CXXGraph: From Friend Recommendations to Influence Detection
dev.to·2d·
Discuss: DEV
🔧Dotnet
Flag this post
I built (another) Elm-style `useEffectReducer` hook for React ⚛️
dev.to·1d·
Discuss: DEV
🐹Golang
Flag this post
Day 32: Python Temperature Converter, Switch Between Fahrenheit and Celsius with Inputs
dev.to·2d·
Discuss: DEV
🔧Dotnet
Flag this post
Adaptive Data Analysis for Growing Data
arxiv.org·1d
🔧Dotnet
Flag this post
Building AI Agents in Kotlin – Part 1: A Minimal Coding Agent
blog.jetbrains.com·3d
🔧Dotnet
Flag this post
Dynamic Depth Quantum Approximate Optimization Algorithm for Solving Constrained Shortest Path Problem
arxiv.org·1d
🔧Dotnet
Flag this post
DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs
arxiv.org·2d
🔧Dotnet
Flag this post
Automated ELISA Assay Optimization via Dynamic Bayesian Deep Learning
dev.to·1d·
Discuss: DEV
🔧Dotnet
Flag this post
Data reuse enables cost-efficient randomized trials of medical AI models
arxiv.org·1d
🔧Dotnet
Flag this post
fastbmRAG: A Fast Graph-Based RAG Framework for Efficient Processing of Large-Scale Biomedical Literature
arxiv.org·12h
🔧Dotnet
Flag this post
Building Your First Sentiment Analysis App with LangChain LCEL and OpenAI
dev.to·4d·
Discuss: DEV
🔧Dotnet
Flag this post
The Prompt Engineer is Dead. Long Live the AI Systems Architect.
dev.to·2d·
Discuss: DEV
🔧Dotnet
Flag this post
Prescott discusses Kneeland, Cowboys returning to practice and coping with loss
nytimes.com·19h
🔧Dotnet
Flag this post