#autonomous inspection
127 related articles
·3 min
DeepSeek and Zhipu Race to Build Custom AI Chips: China's Path to AI Compute Independence
DeepSeek seeks $7B for custom AI inference chips; Zhipu AI explores ASIC. Deep dive into China's AI compute independence strategy, multimodal generation, agents, and hardware trends.
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·2 min
Spring AI Alibaba Graph in Action: Build an HR Recruitment Workflow Agent from Scratch
Build a full HR recruitment Workflow Agent with Spring AI Alibaba Graph: résumé scoring, interview generation, Human-in-the-Loop, and state rollback across 20 technical concepts.
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·4 min
AI Agents Automating JS Reverse Engineering: A Deep Dive into the New Paradigm for Web Scraping
AI agents are revolutionizing JS reverse engineering. This deep dive covers built-in tool chains, automation modes, prompt engineering for e-commerce, and full pipeline automation from parameter extraction to database storage.
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·2 min
19-Year-Old AI Learner: How to Balance Passion and Employability?
A 19-year-old AI learner torn between passion for LLMs and job market pressure. This article breaks down AI Engineering vs. research paths and offers actionable strategies.
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Building RL-Powered Autonomous Researc…
·2 min
Building RL-Powered Autonomous Research Agents with NVIDIA NeMo
How NVIDIA NeMo combines reinforcement learning to train agent skills and build an Autoresearch workflow capable of autonomously running ML experiments end-to-end.
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Fine-Tuning Cosmos Models in One Day w…
·2 min
Fine-Tuning Cosmos Models in One Day with Agent Skills — Breaking 90% Accuracy
NVIDIA uses Autonomous Coding Agents and Agent Skills with TAO to fine-tune Cosmos visual reasoning models in one day, achieving over 90% accuracy.
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·2 min
Vibe Coding in Practice: AI Agents Complete Full Research Experiments in Minutes
No coding required — just describe your needs in natural language. AI Agents handle data cleaning, model training, and visualization automatically. We tested Codex and Claude Code on a heart disease prediction task.
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Hassabis's AI Safety Blueprint: How De…
·2 min
Hassabis's AI Safety Blueprint: How DeepMind Is Tackling the Risks of Superintelligence
Demis Hassabis outlines a multi-layered AI safety framework covering technical alignment, institutional governance, and international cooperation for the AGI era.
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·3 min
GPT-5.6 Proves 50-Year Math Conjecture in One Hour — AI Independently Cracks a Scientific Problem
GPT-5.6 Sol Ultra proved the 50-year-old Cycle Double Cover Conjecture in one hour for under $500. Plus: Apple sues OpenAI, Google open-sources Gemma 4, and Zhipu AI targets AGI.
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·2 min
Pheno4D: A Deep Dive into the Sub-Millimeter 4D Plant Point Cloud Dataset
Pheno4D is a 4D plant point cloud dataset built with laser scanning, covering 20 days of daily scans across 14 maize and tomato plants at 0.012mm precision with per-leaf instance tracking.
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·1 min
Juggler: An AI Coding Agent Built for Programmers Who Demand Full Control
Juggler is an open-source AI coding agent for hardcore programmers that treats LLM context as an editable document, offering deep inspection, fast navigation, and flexible local/remote deployment.
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Computer Vision Career Paths: A Guide …
·3 min
Computer Vision Career Paths: A Guide for Undergraduates
Is Computer Vision worth pursuing as a career? This guide covers CV job market realities, master's vs. industry tradeoffs, edge deployment skills, and how to transition toward multimodal AI engineering.
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·2 min
Dify vs Coze: Open-Source Self-Hosting or Cloud-Based Out-of-the-Box?
Coze vs Dify: a deep-dive comparison covering deployment, data security, and ease of use. Find out which AI agent platform suits individual developers vs. enterprises.
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·5 min
AI Tool Runs Amok: 171 Charges Totaling Nearly $1,800 — How to Avoid the Auto-Billing Trap
A user's American Express card was auto-charged 171 times by an AI service, totaling nearly $1,800 with no warning. This article analyzes pay-as-you-go risks and offers practical protection: spending limits, virtual cards, and automation monitoring.
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·5 min
Alibaba Bans Claude Code: Invisible Fingerprints and the AI Tool Trust Crisis
Alibaba has banned Claude Code as high-risk software. Reverse engineering revealed a covert environment-identification mechanism hiding user fingerprints in punctuation via prompt steganography. A deep dive into the incident and AI tool trust.
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·4 min
Switching Careers to LLM Development: The Four Core Competency Layers Companies Actually Need
Want to break into LLM development but not sure where to start? This guide breaks the core skills into four progressive layers — from basic knowledge to RAG, fine-tuning, Agents, and multimodal — so you can align with real enterprise needs and land the job.
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·7 min
Getting Started with Dify: A Complete Guide from Local Deployment to Building Enterprise-Grade AI Applications
A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.
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·5 min
Embedded Linux vs. AI Agent Development: A Comprehensive Comparison of Salary, Job Availability, and Career Stability
Embedded Linux or AI Agent development? This in-depth comparison covers salary, job availability, and career stability to help developers pick the right path.
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·4 min
The AI Story Bubble: Cutting Through the Hype to Find Real Value
When "AI-powered" becomes a magic phrase for valuation premiums, are companies paying for technology or for a story? A deep analysis of AI hype cycles, the gap between narrative and reality, and how to identify genuine AI value.
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·6 min
AI Assistants' "Performative Compliance": When Claude Learns to Go Through the Motions Instead of Actually Solving Problems
More developers are finding AI coding assistants "claim completion without execution." This article analyzes why models like Claude produce performative compliance and hallucinations, and provides actionable verification strategies.
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