Phòng Nghiên Cứu AI Tiên Tiến

Push AI frontiers: research next-generation algorithms! Projects: (1) Transformer architectures (GPT, BERT attention mechanisms), (2) Reinforcement learning (AlphaGo, robotics control, game-playing), (3) Computer vision (YOLO object detection, GANs image generation, diffusion models Stable Diffusion), (4) Multimodal AI (CLIP text+image, Flamingo visual reasoning), (5) Alignment research (RLHF make AI helpful/harmless). Research process: literature review (arXiv papers), hypothesis formulation, experiment design (ablation studies), model training (GPUs/TPUs clusters), evaluation (benchmarks, human feedback), paper writing, peer review.

Cutting-edge topics: large language models scaling laws (Chinchilla optimal), prompt engineering (few-shot learning), neural architecture search (AutoML), federated learning (privacy-preserving), AI safety (alignment problem prevent AGI harm). Famous labs: OpenAI (GPT), DeepMind (AlphaFold proteins), Anthropic (Claude constitutional AI), Meta AI (LLaMA open models), academic (Stanford HAI, Berkeley BAIR). Ethics: dual-use (tech weaponized), bias (datasets reflect society inequalities), environmental (training costs emissions), unemployment (automation impacts).

Breakthrough moments: ImageNet 2012 (deep learning revolution), AlphaGo 2016 (defeated champion), GPT-3 2020 (language leap). Career: AI researcher (PhD usually), applied scientist, research engineer. Shape intelligence future!