{"id":"91b84fc1-2956-4129-96da-fb3496f9be8e","url":"https://api.tumn.com/news/91b84fc1-2956-4129-96da-fb3496f9be8e","title":"Ensemble forecasting with IBM Granite time-series models","summary":"Ensemble forecasting with IBM Granite time-series models","sections":[],"faq":[],"sources":[{"url":"https://huggingface.co/blog/ibm-research/granite-timeseries-ensemble-r1","title":"Hugging Face Blog","publishedAt":"2026-10-22T07:51:31.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-22T07:51:31.000Z","modifiedAt":"2026-10-22T14:25:52.000Z","checkedAt":"2026-10-22T14:25:52.086Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/91b84fc1-2956-4129-96da-fb3496f9be8e.json","markdown":"https://api.tumn.com/news/91b84fc1-2956-4129-96da-fb3496f9be8e.md"}}