https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Tue, 16 Jun 2026 00:00:00 GMT https://www.youngju.dev/blog/ai-papers/2026-06-16-ai-hardware-research-trends-2026.en https://www.youngju.dev/blog/ai-papers/2026-06-16-ai-hardware-research-trends-2026.en A field-by-field review of where AI hardware research is heading in 2026. From wafer-scale and photonics, compute-in-memory, FP4 low-precision training, sparsity and MoE hardware, optical interconnect, next-generation memory, and neuromorphic computing to hardware-software co-design — we lay out the core ideas, their significance, and their limits. Tue, 16 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersai-hardwarephotonicscompute-in-memorylow-precisionneuromorphicresearch-trends https://www.youngju.dev/blog/ai-papers/2026-06-16-ai-hardware-research-trends-2026.ja https://www.youngju.dev/blog/ai-papers/2026-06-16-ai-hardware-research-trends-2026.ja 2026年のAIハードウェア研究の流れを分野ごとに概観します。ウェハスケールとフォトニクス、インメモリコンピューティング、FP4低精度学習、スパース性とMoEハードウェア、光インターコネクト、次世代メモリ、ニューロモルフィック、ハードウェア・ソフトウェア協調設計まで、核心的なアイデアと意義、限界を整理します。 Tue, 16 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersai-hardwarephotonicscompute-in-memorylow-precisionneuromorphicresearch-trends https://www.youngju.dev/blog/ai-papers/2026-06-16-ai-hardware-research-trends-2026 https://www.youngju.dev/blog/ai-papers/2026-06-16-ai-hardware-research-trends-2026 2026년의 AI 하드웨어 연구 흐름을 논문 단위로 훑어봅니다. 웨이퍼스케일과 포토닉스, 인메모리 컴퓨팅, FP4 저정밀 학습, 희소성과 MoE 하드웨어, 광 인터커넥트, 차세대 메모리, 뉴로모픽, 하드웨어-소프트웨어 공동설계까지 핵심 아이디어와 의의, 한계를 정리합니다. Tue, 16 Jun 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) ai-papersai-hardwarephotonicscompute-in-memorylow-precisionneuromorphicresearch-trends