#Scientific Machine Learning
218 related articles
·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.
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·3 min
Python Self-Study Roadmap: A Three-Phase Learning Method from Zero to Hands-On Projects
A detailed Python self-study roadmap in three phases: fundamentals, OOP & intermediate skills, and hands-on projects including web scraping and office automation.
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·3 min
Learn Python from Scratch: A Three-Phase Systematic Learning Path and Practical Guide
How to efficiently learn Python from scratch? This guide covers a three-phase learning path—fundamentals, intermediate, and practical—including environment setup, OOP, web scraping, office automation, and data analysis.
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The Era of Agent-Driven Automated Research: Where Should Graduate Students Be Heading?
AI Agents are reshaping research workflows, taking over execution from experiment design to paper writing. Learn how grad students can shift from executors to decision-makers.
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·3 min
ChatGPT Futures, Class of 2026: Who Should AI Be Built For?
In OpenAI's short film "ChatGPT Futures, Class of 2026," young AI leaders share thoughts on education equity, healthcare transformation, and individual creativity—exploring how AI should bridge divides and center humanity.
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Sakana AI Scientist v2 Deep Dive: Architecture and Practice of an Autonomous AI Research System
Deep dive into Sakana AI's open-source AI Scientist v2: technical architecture, core modules, and upgrade highlights covering the full autonomous research pipeline from idea generation to paper writing.
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·3 min
Google DeepMind Partners with A24 in $75 Million Deal to Bring AI Filmmaking Tools to Hollywood
Google DeepMind partners with indie studio A24 in a $75M deal to develop AI filmmaking tools—reshaping Hollywood production, indie cinema, and the AI entertainment landscape.
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Google Co-Scientist Explained: A Gemin…
·2 min
Google Co-Scientist Explained: A Gemini-Powered Multi-Agent AI Research System
Deep dive into Google's Co-Scientist: a Gemini-powered multi-agent AI system that autonomously generates hypotheses, conducts agent debates, and iteratively evolves research directions.
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·2 min
The Complete Guide to Automated AI Research Resources: Papers, Tools, and Labs
A deep dive into the awesome-auto-ai-research open-source project, covering key papers, tools, labs, and roadmaps in automated AI research to help researchers explore the frontier of autonomous AI-driven science.
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·1 min
Sakana AI Launches RSI Lab: The Path to Recursive Self-Improvement Where AI Builds AI
Sakana AI launches RSI Lab for recursive self-improvement, letting AI autonomously improve its own architecture. Explore their four-stage roadmap and key breakthroughs.
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AI Scientist: A Deep Dive into Sakana AI's Automated Research Framework
Deep dive into Sakana AI's open-source AI Scientist project: how LLMs automate the full research pipeline from hypothesis generation and experiment execution to paper writing, including architecture, workflow, and limitations.
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·2 min
Sakana AI Establishes Recursive Self-Improvement Lab, Replacing Brute-Force Compute with Creativity to Pioneer a New AI Paradigm
Sakana AI launches its Recursive Self-Improvement Lab, focusing on using AI to redesign AI development. From LLM² to AI Scientist, this Tokyo company proposes a sample-efficient path to AI self-evolution without brute-force compute.
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·1 min
CPU, GPU, and TPU: Core Differences and Best Use Cases Explained
Deep dive into CPU, GPU, and TPU architecture differences, strengths, and use cases. Understand why GPUs excel at AI training and TPUs specialize in ML workloads.
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·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.
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·3 min
Two Minute Papers: The Gold Standard for Making Cutting-Edge AI Research Accessible
An in-depth look at how Two Minute Papers explains cutting-edge AI research in two minutes, covering Károly's methodology, topics, and lessons for science communicators.
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·3 min
AI Large Model Learning Roadmap Breakdown: Three Stages from Application Development to Model Fine-Tuning
Deep breakdown of a popular AI large model learning roadmap covering LangChain, RAG, Agent, and LoRA fine-tuning across three stages, with analysis of its strengths and limitations for career changers.
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·2 min
Jeff Dean's Commencement Speech at UW Allen School: A Message to the Next Generation of Engineers in the AI Era
Jeff Dean delivers commencement speech at UW Allen School of Computer Science & Engineering, sharing insights with the next generation of CS graduates in the AI era.
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The Complete Guide to DeepSeek TUI: Installation, Configuration, and Hands-On Use of a Terminal AI Coding Agent
A deep dive into DeepSeek TUI: the terminal AI coding agent with chain-of-thought visualization, million-token context, and multi-task parallelism. Covers installation, configuration, and real-world use cases.
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·3 min
AI Agent Tutorial Collection: Complete Coverage of Multi-Agent, Memory, and Reasoning
Open-source AI Agent tutorial project with 2600+ GitHub Stars covering multi-agent systems, memory, planning, and reasoning loops via Jupyter Notebooks for hands-on learning.
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·3 min
Nexent Open-Source Platform: Zero-Code Auto-Generation of Production-Grade AI Agents
Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.
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