#PhD application
94 related articles
·4 min
A Beginner's Guide to AI Economics Research: A Systematic Roadmap for Economics PhD Students
How should economics PhD students systematically enter the vast field of AI economics? This guide maps four research threads, literature methods, and technical priorities for building expertise.
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·3 min
Work or PhD? The Career Path Dilemma for AI Researchers
Young AI researchers face the dilemma of industry work vs. PhD. This article examines how industry research experience affects PhD applications and the real value of a PhD for Research Scientist roles.
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·3 min
How to Become an AI Developer? A Systematic Beginner's Roadmap
A complete learning roadmap to become an AI developer from scratch: covering Python basics, math foundations, ML/DL core concepts, LLM application development, and hands-on project experience.
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·3 min
Mythos Preview Parameter Scale Analysis: 10 Trillion Parameters and the Validation of Scaling Law
Cross-validating through pricing analysis, benchmarks, and compute estimation to analyze whether Anthropic's Mythos Preview reaches 10 trillion parameters and what this means for Scaling Law.
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·4 min
AI Daily: Cursor Merges into SpaceX, Qwen3 Open-Source Approaches Frontier, GLM-5.3 Released
Aug 18 AI Daily: Cursor merges into SpaceX for Grok tools, Qwen3 open-source hits 200+ tok/s approaching frontier, GLM-5.3 released for coding, GPT-5.6 turbo mode previewed.
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·3 min
Andrew Ng's AI Engineering Skills Map: A Complete Capability Breakdown from Building to Deployment
Deep dive into Andrew Ng's AI Engineering Skills Map covering foundation models, prompt engineering, RAG, model evaluation, and production deployment.
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·3 min
Getting Started in Machine Learning Research: Essential Paper Reading List and Research Internship Application Path
A complete path from zero to research internship for ML beginners, covering essential classic papers (AlexNet, ResNet, Transformer), paper reading methods, reproduction tips, and practical advice for research internship applications.
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·3 min
Math or Statistics? A Guide to Choosing Your Undergraduate Major for AI/ML
Torn between math and statistics for AI/ML? This guide compares both majors across coursework, career prospects, grad school prep, and skill transferability.
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·5 min
How Undergraduates Without Research Advisors Can Start Independent Research
How can undergraduates without advisors or labs conduct independent research? This guide covers paper reproduction, open resources, finding remote mentors, and publishing — a complete path for resource-limited students.
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·2 min
GLEE Competition: Build a Negotiation AI Agent and Sprint Toward NeurIPS 2026
The GLEE Competition challenges participants to build AI Agents that can bargain, negotiate, and persuade in real-time adversarial games, with a path to NeurIPS 2026 publication and $6,000 in prizes from Google and Salesforce.
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·3 min
NeurIPS Submissions Reveal New Trends in Research Collaboration in the AI Era
Analyzing a Reddit recruitment post to explore NeurIPS Workshop submission strategies, how AI coding tools reshape research productivity, and the opportunities and risks of global collaboration for young researchers.
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·3 min
GLM-5.3 Benchmark Analysis: The Globalization Journey of Chinese Large Language Models
In-depth analysis of Zhipu AI's GLM-5.3 benchmarks on Artificial Analysis, exploring third-party evaluation platforms, the GLM series evolution, and Chinese LLMs' path to global recognition.
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·1 min
Salem Robotics: A Hardware-Agnostic Software Platform for Autonomous Robotic Inspections
Salem Robotics offers a hardware-agnostic autonomous robot software system for hazardous facility inspections, born from a decade of research at Los Alamos National Laboratory.
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·2 min
Why Is NVIDIA Scrambling for Interns? A Deep Dive into the AI Talent War
NVIDIA's summer intern message reveals the AI chip giant's intense hunger for top talent. A deep dive into NVIDIA's talent strategy, the AI industry talent war, and what it means for young engineers.
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·4 min
Forward-Deployed Engineer (FDE): A Complete Guide to the $400K AI Role
FDE job postings surged 1165%, paying $300K-$400K. Learn what FDEs do, the three core skill stacks, interview process, and a realistic path from zero to offer.
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·3 min
GraphRAG in Practice: Building an Intelligent Retrieval Agent with Knowledge Graphs
A detailed guide on GraphRAG vs. traditional RAG, building a knowledge graph from scratch with Neo4j and neo4j-graphrag, and wrapping it as a LangChain Agent tool for multi-hop reasoning.
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·4 min
Multiplayer Agentic Engineering: 6 Practical Lessons for Helping Your Entire Team Work Efficiently with AI
6 practical lessons from the Superconductor team on multiplayer agentic engineering: model neutrality, cloud sandboxing, signal automation, team visibility, and more.
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·3 min
Academia Openly Criticizes AI Industry's Playbook: Why It May Already Be Too Late
Academia finally criticizes the AI industry's playbook — including bait-and-switch openness, talent poaching, and compute monopolies — but industry has already consolidated power. A deep analysis of the growing imbalance.
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·4 min
A Beginner's Guide to Vibe Coding: A Comprehensive Look at AI-Native Development
A comprehensive guide to Vibe Coding, the AI-native development paradigm covering core concepts, workflows, tech stack recommendations, pros and cons, and future trends.
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·4 min
OpenAI Chief Research Officer Mark Chen: Within Three Years, AI Will Independently Conduct End-to-End Scientific Research
OpenAI CRO Mark Chen shares frontier AI research insights: RL boundaries, why Scaling Laws aren't dead, the o1 reasoning model's origin story, and the bold three-year goal of AI conducting end-to-end scientific research independently.
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