#AppleNeuralEngine
Live, measured metrics for the hashtag #AppleNeuralEngine from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #appleneuralengine
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-11-12 04:00 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-11-12 04:00 UTCNo related tags with measured usage found for #appleneuralengine.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-12 04:00 UTCEverything below is measured over the latest 13 public posts (spanning ~20959 hours).
Posting hours (UTC) — busiest: 12:00
Languages: German (5) · English (4) · Chinese (Taiwan) (2) · Russian (1)
Avg boosts / post: 0
Top of the latest posts
🌖 嵌入式 Gemma 語音轉寫 ➤ 活用多模態嵌入空間，打造 Mac 端側超高速語音轉寫工具 ✤ https://eg2.haku.sh/ 本文介紹一項獨立開發專案，研究人員成功將 Google 的多模態嵌入模型 EmbeddingGemma 2 改造為高效能的語音轉文字工具。該技術透過保持原音訊編碼器不變，僅訓練一個輕量級讀取器將音訊切片映射至文字向量空間，並完全在 Apple Mac 的 Neural Engine 上在地端運行。在基礎款 M3 MacBook Air
🧐 So, someone discovered that Apple's Neural Engine is like that one colleague who always promises to work at 100% efficiency but ends up taking smoke breaks, leaving the rest to pick up the slack. 🤦♂️ Yet another thrilling story of tech
Getting 50 GB/S Back from the Apple Neural Engine https://eiln.github.io/posts/ane-dma.html Comments: https://news.ycombinator.com/item?id=49636479 #HackerNews #AppleNeuralEngine #50GBps #TechInnovation #DataTransfer #AIResearch
#appleneuralengine across platforms
every network with a public tag surfaceFollow #appleneuralengine 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/appleneuralengine