2727 related articles

No coding skills? No problem. Learn how AI tools like Codex and Claude Code let researchers complete ML workflows — data cleaning, model training, visualization — using only natural language.

A deep dive into symbolic vs. neural AI paradigms — exploring type theory, category theory, and algebraic geometry as mathematical bridges toward neuro-symbolic integration.

How can non-CS graduate students use AI tools like Cursor to efficiently complete their thesis? A complete guide covering data sourcing, code adaptation, and AI-assisted modifications.

India's largest OTA platform MakeMyTrip uses WebMCP to standardize AI Agent interactions with web apps, replacing fragile DOM scraping with natural language-driven test automation and simplified complex booking scenarios.

Deep analysis of the EYG programming language's core design, including algebraic effects, program state persistence, and cross-platform portability, exploring how it addresses modern software fragmentation.

India's largest OTA platform MakeMyTrip uses WebMCP to standardize AI Agent interaction with web apps, solving DOM scraping fragility, enabling natural language test automation, and simplifying complex international flight bookings.

Using AI-generated Spanish short drama Nido de Villanas as a case study to analyze AIGC script generation, character consistency, multilingual dubbing, and the commercial logic of scaled AI drama production.

Using AI-generated Spanish short drama "Nido de Villanas" as a case study, this deep dive analyzes AIGC script generation, character consistency, multilingual dubbing, and the industry trends of scaled AI drama production.

spaCy's default Sentencizer achieves only 55.4% accuracy on edge cases, while open-source library yasbd reaches 98.9%. Analysis of limitations and integration code examples.

Explore how AI empowers Spanish-language micro-drama production—from script generation and voice synthesis to multilingual distribution—and its profound impact on the global content industry.

An in-depth look at the real daily work of data scientists, MLEs, and MLOps engineers — covering responsibilities, essential tools, and career paths to help you find your direction in AI.

A detailed guide on using AI Agents to build Research Logs for scientific experiments, covering skeleton structure, daily workflows, pre-experiment thinking standards, code change tracking, and Agent-researcher division of labor.

How to learn AI Agents from scratch? This guide covers two clear paths: developers go from Python to LLMs to open-source framework source code; practitioners use Claude Code or similar tools to get results fast.

A detailed guide to ByteDance's Coze platform covering agent building, workflow orchestration, and knowledge base management to help beginners start AI app development with zero coding.

Learn how to use AI Agents to build a Research Log for scientific experiments, covering structure, daily workflows, pre-experiment thinking, code change tracking, and human-AI division of labor.

Google DeepMind announces Gemini 4 pre-training has begun, calling it their most ambitious training yet. A deep dive into its technical direction, compute scale, multimodal breakthroughs, and competitive impact.

SlopCodeBench sparks deep reflection on AI code evaluation. From benchmark contamination to pass-rate pitfalls, exploring why current benchmarks fail to measure real code quality.

A viral Reddit post asks: will AI end human history? This article analyzes the blind spots of tech accelerationism, the governance mismatch, and how to rationally navigate AI transformation.

A professor embedded invisible prompts in assignments, catching 32 of 35 students using AI to cheat. Learn how this prompt injection trap works and what it means for education.

Users report Grok 4.5 underperforms in Cursor vs. the official terminal. We analyze how system prompts, context management, parameters, and tool calling create AI coding tool integration gaps.