#人機介面
Live, measured metrics for the hashtag #人機介面 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #人機介面
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-08-23 02:31 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-08-23 02:31 UTCNo related tags with measured usage found for #人機介面.
Live pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-08-23 02:31 UTCEverything below is measured over the latest 7 public posts (spanning ~27114 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (5) · Chinese (2)
Avg boosts / post: 0
Top of the latest posts
🌗 利用超音波實現無聲語音識別 ➤ 透過舌尖上的超音波，開啟隱形溝通的新紀元 ✤ https://alephneuro.com/blog/silent-speech 本文介紹了一項突破性的無聲語音識別技術。研究人員利用放置在下顎下方的超音波探頭，直接擷取說話者舌頭的運動影像，並透過深度學習模型將影像轉化為文字。該系統僅耗時一個月研發，並使用 50 小時的訓練數據，即達到 15.6% 的單字錯誤率，展現出極佳的跨使用者泛化能力。這項技術不僅解決了公共場合無法語音操控設備的隱私
🌘 重塑滑鼠遊標，引領 AI 互動新未來 ➤ 告別繁瑣提示詞：AI 賦能的遊標將如何理解你的意圖？ ✤ https://deepmind.google/blog/ai-pointer/ Google DeepMind 團隊正致力於將滑鼠遊標從單純的點擊工具，升級為具備感知能力的智慧介面。透過整合 Gemini 模型，系統能即時捕捉並理解遊標所指之處的語意與視覺脈絡。這項研究的核心在於「無縫整合」，讓使用者無需切換應用程式或撰寫冗長提示詞，僅需透過簡單的指向與口頭指令，即可與
🌘 bookofjoe：Molly Guard（誤觸防護蓋） ➤ 從誤觸防護到自動化設計：談電腦操作中的防呆機制 ✤ https://bookofjoe2.blogspot.com/2026/02/molly-guard.html 本文介紹了電腦工程領域中被稱為「Molly Guard」的設計概念——即安裝在重要按鈕上的保護蓋，旨在防止使用者因不慎而誤觸。這一術語源於一名工程師的女兒，她曾因好奇心在參觀數據中心時兩度按下紅色警示按鈕。作者進一步探討了該機制在現實世界中的廣泛
#人機介面 across platforms
every network with a public tag surfaceFollow #人機介面 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/人機介面