#scientific experiment documentation
46 related articles
·3 min
A Practical Methodology for Non-Technical Professionals to Evaluate AI Translation Quality
No technical background? Learn how to rigorously evaluate AI translation accuracy and reproducibility. A practical hybrid scoring framework for NGOs and non-technical evaluators.
Read more →
The Complete AI Researcher Learning Ro…
·3 min
The Complete AI Researcher Learning Roadmap: A Beginner's Guide to Deep Learning
A structured AI/ML learning roadmap covering Python, math, machine learning, deep learning, and MLOps — with timelines, milestones, and free resource recommendations.
Read more →
·3 min
NASA Open-Sources the F´ Framework: A Space-Grade Toolkit for Flight Software and Embedded Systems Development
NASA's JPL open-sourced the F´ (F Prime) flight software framework: C++-based, component-driven, and validated in real space missions. Ideal for CubeSats, drones, and embedded systems, it has over 11,000 GitHub Stars.
Read more →
·6 min
An Efficient Learning Guide for Data Science: Study Partnerships and Hands-On ML in Practice
Struggling to learn data science alone? This article explores the value of study partnerships and pairs them with the classic Hands-On ML textbook to offer a phased learning plan from math foundations to deep learning.
Read more →
·4 min
From New Grad SWE to Platform Engineer: Career Paths and Tech Stack Choices in the AI Era
How can new graduates transition from software engineer to platform engineer? This article breaks down the path of joining as a Grad SWE first, then transferring internally, analyzes C# vs Python trade-offs, and offers a 14-month prep plan for AI/ML infrastructure.
Read more →
·7 min
Tripadvisor AI Summaries 'Whitewashing' Problematic Hotels? Essential Safety Concerns for Travelers
Tripadvisor's AI review summaries are generating positive assessments for hotels with safety hazards while downplaying critical warnings. Deep analysis of causes and practical user protection tips.
Read more →
·6 min
The Privacy Dilemma of Smart Glasses: Who's Being Watched?
The biggest obstacle to smart glasses adoption isn't technology—it's the privacy trust crisis. From Google Glass's failure to Meta's new generation, this article explores how wearable cameras break social trust.
Read more →
·7 min
Harness Engineering: Core Methodology and Practical Guide for Enterprise-Level AI Programming
Can AI really replace programmers? This article explains Harness Engineering principles and its three evolutionary stages, revealing real pain points of enterprise AI programming.
Read more →
·6 min
Gas Town: A Multi-Agent Workspace Manager Built in Go
Gas Town is an open-source multi-agent workspace manager built in Go with 16,000+ GitHub Stars. This article analyzes its architecture, Go language advantages, and typical multi-agent collaboration scenarios.
Read more →
·3 min
A Complete Guide to Learning Python from Scratch: From Basics to Web Scraping Projects
A systematic Python learning path for beginners covering syntax, OOP, web scraping, office automation, and data analysis, with methodology tips and resources.
Read more →
·2 min
sakana-mcp: Driving AI Scientist Autonomous Research Cycles via MCP Protocol
sakana-mcp wraps Sakana AI Scientist v2 as an MCP server, letting Claude and Cursor act as research directors to orchestrate autonomous research cycles.
Read more →
·2 min
LifeSciBench: A Life Science AI Benchmark Built by 173 Scientists
LifeSciBench is a life science AI benchmark developed by 173 biotech and pharma scientists, featuring 750 expert tasks across seven research workflows.
Read more →
·4 min
GLM 5.2 & Zcode Hands-On Review: A Deep Dive into the Free AI Coding Tool with 5 Million Tokens/Day
In-depth review of Zhipu's GLM 5.2 model and Zcode programming tool: interface experience, coding benchmarks, and long-horizon Agent performance compared to GPT and Opus. 5M free tokens/day with MIT license.
Read more →
·2 min
AI Progress Demands a More Nuanced Examination: A Rational Framework Beyond Hype and Panic
Current AI discourse is trapped in polarization. This article explores how to rationally assess AI's real progress, analyzes the gap between benchmarks and actual capabilities, and offers a pragmatic evaluation framework.
Read more →
·4 min
Why Engineering Teams Are Cutting AI Spending: The Shift from Hype to Rationality
More engineering teams are cutting AI spending, reassessing everything from AI coding assistants to API costs. Learn why teams are shifting from hype-driven to value-driven AI investment strategies.
Read more →
·3 min
Building a Cold Chain Logistics Optimization Research Project with Codex: A Complete Workflow from Scratch to PDF Paper
Learn how to use OpenAI Codex to build a complete cold chain logistics optimization research project from scratch, including simulated annealing implementation, experiments, figures, and LaTeX paper compilation.
Read more →
·2 min
AI Coding Far Outpaces Biology: Infrastructure Determines How Fast AI Gets Deployed
Why is AI racing ahead in coding but struggling in biology? This article analyzes the structural infrastructure gap and explores how to build Agent-friendly scientific data platforms.
Read more →
·2 min
Firebase A/B Testing Upgrade: Real-Time Service and Custom Signal Conditions Explained
Firebase A/B Testing gets a major upgrade with Remote Config real-time service integration and custom signal conditions, offering faster experiments and precise user targeting.
Read more →
Tutorials·3 min
Nature Skills: A Complete Guide to Automating Academic Paper Workflows with Claude Code
Deep dive into the open-source Nature Skills project by a Shanghai Jiao Tong University PhD, automating 7 academic paper workflows via Claude Code's Skills mechanism with 9 Skill writing patterns.
Read more →
Deep Dives·3 min
Why Is Python the Top Choice for AI Development? Three Core Reasons Explained in Depth
In-depth analysis of three core reasons Python dominates AI development: simple syntax for quick onboarding, powerful ecosystem, and industry-wide network effects.
Read more →