AI 時代帶著我們的興奮、焦慮、迷茫…滾滾而來,AI 究竟發展到什麼程度?民眾、技術專家、企業眼中的 AI 有何不同?作為科技行業從業者的我們,需要了解什麼、做什麼,如何面對 AI 的浪潮,如何選擇我們自己的發展道路?
AI 究竟會為產品設計帶來怎樣的變化?我們有什麼可以依靠的,有什麼需要突破的,有什麼值得堅守的?我們能怎樣抓住AI的浪潮,實現個人的成長,做出有意義的事業?
產品、體驗設計與 AI 的先行者吳卓浩老師將為大家帶來他的思考和實踐,和大家一起跑步進入 AI 時代,追尋 AI 時代的產品設計之道。
AI 時代帶著我們的興奮、焦慮、迷茫…滾滾而來,AI 究竟發展到什麼程度?民眾、技術專家、企業眼中的 AI 有何不同?作為科技行業從業者的我們,需要了解什麼、做什麼,如何面對 AI 的浪潮,如何選擇我們自己的發展道路?
AI 究竟會為產品設計帶來怎樣的變化?我們有什麼可以依靠的,有什麼需要突破的,有什麼值得堅守的?我們能怎樣抓住AI的浪潮,實現個人的成長,做出有意義的事業?
產品、體驗設計與 AI 的先行者吳卓浩老師將為大家帶來他的思考和實踐,和大家一起跑步進入 AI 時代,追尋 AI 時代的產品設計之道。
高速移動網路新時代 - 雲端與物聯網發展新趨勢 (An Integration Trend of Terminal Devices, IoT and C...William Liang
(DIGITIMES 2016微控制器技術論壇演講投影片)
廣義物聯網範疇包括終端裝置、網路、雲端、及感測裝置等等。由於技術的成熟,越來越多的裝置將可整合嵌入式系統的軟硬體及連網能力,因而變得更智慧化。隨著高速網路越來越成熟,雲端將與物聯網及終端的距離越來越近。這個主題中,我們將探討物聯網發展趨勢以及 4G/5G 等高速移動網路將如何影響物聯網與移動終端的架構。和沛移動透過獨創的『雲記憶延伸技術 (CME)』與 Data-centric IoT 架構,將裝置本地與雲端空間無縫融合,讓開發者不再需要處理雲端接取細節,也讓使用者不再受到裝置容量限制,而能盡情享受雲端終端整合為生活帶來的便利與優點。
In this presentation, a possible integration trend of the IoT, Mobile Terminals, and Cloud for the emerging 4G/5G high-speed mobile networks will be introduced. Hope Bay Mobile Inc. has proposed the patented “Cloud Memory Extension (CME)” Technology and the “Data-centric IoT” architecture, so that the system space of the mobile and IoT devices can be merged with the cloud storage seamlessly. In this way, the logical space of the devices could be extended without any limitation. Developers will be able to create applications easily since the details of the device-to-cloud communications has been hidden; instead, cloud data can be accessed from within the device local file systems directly.
In this presentation, a possible trend of the IoT, Mobile Terminals, and Cloud for the emerging 4G/5G high-speed mobile networks will be introduced. Hope Bay (HB) Mobile Inc. has proposed the patented “Cloud Memory Extension (CME)” Technology and the “Data-centric IoT” architecture, so that the system space of the mobile and IoT devices can be merged with the cloud storage seamlessly. In this way, the logical space of the devices could be extended without any limitation. With CME, Developers will be able to create applications easily since the details of the device-to-cloud communications has been hidden; instead, cloud data can be accessed from within the device local file systems directly.
高速移動網路新時代 - 雲端與物聯網發展新趨勢 (An Integration Trend of Terminal Devices, IoT and C...William Liang
(DIGITIMES 2016微控制器技術論壇演講投影片)
廣義物聯網範疇包括終端裝置、網路、雲端、及感測裝置等等。由於技術的成熟,越來越多的裝置將可整合嵌入式系統的軟硬體及連網能力,因而變得更智慧化。隨著高速網路越來越成熟,雲端將與物聯網及終端的距離越來越近。這個主題中,我們將探討物聯網發展趨勢以及 4G/5G 等高速移動網路將如何影響物聯網與移動終端的架構。和沛移動透過獨創的『雲記憶延伸技術 (CME)』與 Data-centric IoT 架構,將裝置本地與雲端空間無縫融合,讓開發者不再需要處理雲端接取細節,也讓使用者不再受到裝置容量限制,而能盡情享受雲端終端整合為生活帶來的便利與優點。
In this presentation, a possible integration trend of the IoT, Mobile Terminals, and Cloud for the emerging 4G/5G high-speed mobile networks will be introduced. Hope Bay Mobile Inc. has proposed the patented “Cloud Memory Extension (CME)” Technology and the “Data-centric IoT” architecture, so that the system space of the mobile and IoT devices can be merged with the cloud storage seamlessly. In this way, the logical space of the devices could be extended without any limitation. Developers will be able to create applications easily since the details of the device-to-cloud communications has been hidden; instead, cloud data can be accessed from within the device local file systems directly.
In this presentation, a possible trend of the IoT, Mobile Terminals, and Cloud for the emerging 4G/5G high-speed mobile networks will be introduced. Hope Bay (HB) Mobile Inc. has proposed the patented “Cloud Memory Extension (CME)” Technology and the “Data-centric IoT” architecture, so that the system space of the mobile and IoT devices can be merged with the cloud storage seamlessly. In this way, the logical space of the devices could be extended without any limitation. With CME, Developers will be able to create applications easily since the details of the device-to-cloud communications has been hidden; instead, cloud data can be accessed from within the device local file systems directly.
28. VIA Technologies, Inc. | http://olami.ai
結合視線檢測觸發語音互動流程,取代語音喚醒的動作。
• 基於 Deep Learning 訓練的視線檢測模型,辨識人臉視線(是否在看你):
• 應用於機器人:讓 Robot 理解 User 是否正在看著它。
• 結合語音互動:當 User 看著 Robot 時,進行語音對話(無須經過語音喚醒的步驟)。
Gotcha !
示範影片:https://youtu.be/RxPNDiG7Sls
No No
29. VIA Technologies, Inc. | http://olami.ai
Eye/Gaze + Face Detection
她正在移動
可跟隨
Camera 拍攝畫面
示範影片:https://youtu.be/KaeKmwbKDhI
30. VIA Technologies, Inc. | http://olami.ai
以物件檢測作為語音互動的觸發點
將 Real-Time Object Detection 模型優化,
使其不需要在高階的運算環境也可以流暢運作。
示範影片:
https://youtu.be/_kf_VEjZbVw
31. Thank You !
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