62 related articles

How can OSINT practitioners with a CS background automate intelligence with AI? This guide covers computer vision, VLMs, and Agent frameworks including YOLO, SAM, and Grounding DINO.

OpenAI launches the GPT-5.6 family (Sol/Terra/Luna), ChatGPT Work, a new desktop app, and Hosted Sites — marking AI's evolution from Q&A assistant to autonomous task executor.

OpenAI's GPT-5.6 launches with Sawa, Terra, and Luna sub-models the same day as Musk's Grok 4.5, while Anthropic, Meta, and NVIDIA make their moves. A packed week of flagship AI launches.

Gemini 3.5 Pro is delayed again, yet the community's reaction is surprisingly calm. This article dives deep into Google's compute cost pressures, the risks of a full architectural rebuild, and DeepMind's long-term strategy.

Learn how to fine-tune Google's open-source PaliGemma 2 VLM for custom object detection. Covers model architecture, data formatting, fine-tuning strategies, and real-world value.

How to programmatically swap left/right controller mappings in MuJoCo when using Pico 4 Ultra and XRoboToolkit for VR robot teleoperation, including coordinate frame alignment and quaternion mirroring.

A major breakthrough in AI coding! Hands-on tests show new LLMs generating a Minecraft clone in 90 minutes and a TMNT game in 30 minutes, building 3D scenes, animation, and game logic in one shot.

OpenAI officially releases the GPT-5.6 series with three models: flagship Sol, balanced Terra, and economy Luna. A deep dive into its core breakthroughs—a step change in design judgment and enhanced computer-use capabilities.

OpenAI officially merges its coding agent Codex with ChatGPT into a unified desktop app, adding new coding workflows, a Chrome extension, a built-in browser, and GPT-5.6-powered Computer Use capabilities.

Experiments show DINOv2 Giant scores just 41% on k-NN classification, while SigLIP2 reaches 92%. This article dives into the embedding-space differences between contrastive and self-supervised learning to guide vision encoder selection.

A complete guide to getting started with Affective Computing: from deep learning foundations and classic papers to hands-on practice with FER2013 and IEMOCAP datasets, covering multimodal fusion, emotion recognition challenges, and real-world applications.

Want to switch careers into LLM development but don't know where to start? This guide breaks down a four-level skill roadmap — from basics and API calls to RAG, fine-tuning, Agent development, and multimodal — to help you build real AI career value.

Google Search and Google Shopping integrate AI features including semantic search, visual recognition, price comparison, and personalized recommendations to help users discover secondhand and vintage items more efficiently.

Ideogram 4 open-source image model tested: runs locally on 8GB VRAM + 32GB RAM, Midjourney-level aesthetics, stable text rendering. Learn the 3-part prompt structure and automated ComfyUI workflow with Qwen3 VL.

A deep dive into Claude-real-video: how keyframe extraction, image captioning, and ASR convert video into structured LLM-readable input for model-agnostic video understanding.

A comprehensive guide to building enterprise knowledge bases with RAG, covering vector database selection, text chunking, Embedding models, multi-strategy retrieval, re-ranking, and Agent integration for high-accuracy AI Q&A systems.

A systematic breakdown of the three core AI Agent modules (Control, Perception, Action), with deep analysis of AutoGPT, BabyAGI, HuggingGPT, LlamaIndex architectures and Chain-of-Thought reasoning.

Hands-on comparison of 5 AI image-to-prompt tools (Doubao, DeepSeek, Dreamina, Kimi, ERNIE Bot) covering prompt quality, language support, and element breakdown capabilities.

Tsinghua and Zhipu AI release a full-stack web dev benchmark with three difficulty levels. Top models like Gemini 2.5 Pro see scores plummet from 63 to 11.7 on full-stack tasks, exposing AI's real limits.

Deep analysis of Scaling Law's five-layer evolution from Pre-Training to Multi-Agent, exploring Physical AI's World Models, edge inference, and emotional interaction.