– At COMPUTEX TAIPEI 2018, QNAP® Systems, Inc. will host its technology suite at the Taipei International Convention Center (TICC) to create an experiential space for an in-depth experience. Visitors will see the flagship-grade QNAP NAS and its artificial intelligence applications in healthcare, a professional video surveillance system with more critical features to enhance security monitoring, various new feature-packed NAS products, powerful QTS applications, and innovations that go beyond storage.

“QNAP keeps exploring NAS-based innovations for machine learning and AI, and now we are excited to show how QNAP NAS can cover the medical industry and realize remote healthcare” said Meiji Chang, General Manager of QNAP, adding “We welcome visitors from around the world to come to the QNAP technology suite to receive first-hand experiences of our products and features and to see what QNAP can do for you.”

台灣，台北，2018 年 5 月 21 日 - 2018 年台北國際電腦展 COMPUTEX 即將熱烈開展，威聯通®科技 (QNAP® Systems, Inc.) 將於台北國際會議中心 (TICC) 規劃專屬展覽空間，提供訪客深度的參展體驗。現場將展示旗艦級 QNAP NAS 於 AI 人工智慧醫療影像的應用實例、功能更強大的影像監控方案、多款功能滿載的 NAS 新品、QTS 作業系統的嶄新功能，以及更多打破儲存框架的創新應用。

威聯通科技總經理張明智指出：「QNAP 積極探索 NAS 在 AI 人工智慧創新應用的更多可能性，這次我們十分期待向大家展示透過 QNAP NAS 的 AI 潛能所實現的精準醫療以及遠距醫療方案。歡迎世界各地的訪客蒞臨 QNAP 展區，親自體驗多樣、創新，且具實務價值的 QNAP 解決方案。」

Watch on YouTube here: QIoT Suite Lite 及 QuAI 實戰教學 - 如何運用 AWS Greengrass 實現 NAS IoT 整合應用
via Channel Name (or Channel URL)

Watch on YouTube here: AWS Greengrass for QNAP NAS: Enhance QIoT Suite Lite and QuAI applications

更多QNAP IoT 應用：

Watch on YouTube here: QIoT Suite Lite 及 QuAI 實戰教學 - 如何運用 AWS Greengrass 實現 NAS IoT 整合應用
via Channel Name (or Channel URL)

How to use CNTK with QNAP Container Station

How to use MXNet with QNAP Container Station

What is MXNet

• Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelized both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.

Installation Instructions

How to use MXNet with QNAP Container Station

What is MXNet

• Apache MXNet (incubating) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelized both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.

Installation Instructions

How to use TensorFlow  on QNAP NAS (with Container Station)

What is TensorFlow

• TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

Installation Instructions

1. Open Container station and click on "Create Container".
2. Search for keyword "TensorFlow". You can find the TensorFlow containers under the "AI" tab. Find "TensorFlow-GPU" and click "Install".
   
3. Enter a name for the container.
   
4. Click "Advanced Settings" and go to "Device".  Enable "Use GPU resource to run container".
   

How to use TensorFlow  on QNAP NAS (with Container Station)

What is TensorFlow

• TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

Installation Instructions

1. Open Container station and click on "Create Container".
2. Search for keyword "TensorFlow". You can find the TensorFlow containers under the "AI" tab. Find "TensorFlow-GPU" and click "Install".
   
3. Enter a name for the container.
   
4. Click "Advanced Settings" and go to "Device".  Enable "Use GPU resource to run container".
   

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Taipei, Taiwan (Jan 11, 2018) - QNAP® Systems, Inc. announced in 2017 that it would step into the AI arena and extend its reach to the smart home market by introducing their first video companion - AfoBot. QNAP announced on the 11th that it would partner with the leading Asian digital music brand KKBOX and introduce smart voice music-on-demand services. With AfoBot's advanced technologies like fuzzy voice comparison and natural language systems, users can use intuitive verbal commands to ask AfoBot to play songs and easily enjoy over 40 million songs on KKBOX.

Smart home, smart music

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台灣，台北，2018 年 1 月 11 日 - 威聯通®科技 (QNAP® Systems, Inc.) 2017 年宣布加入 AI 戰場，並將觸角延伸至智能居家市場，推出首款視訊陪伴機器人「AfoBot 阿福寶」。QNAP 於 11 日宣布與亞洲數位音樂領導品牌 KKBOX 展開合作，推出智能語音音樂點播服務。透過 AfoBot 阿福寶先進的語音模糊比對、自然語言系統等技術，強化語音體驗準確性，讓使用者可用最直覺的的口語指令，向 AfoBot 阿福寶點播歌曲，輕鬆享受 KKBOX 超過 4000萬首音樂曲目。

虛實聯手 共創智能新生活

前言

一直以来都比较专注在控制与感测方面的开发，但是…只有工业跟野外会需要吗？家庭不就是一个最好的物联网应用场景吗？想想看：有电器用品的开关、空气质量侦测器、温度计、空调…这些不就是最好发挥的材料了！于是呢，就想到干脆把物联网跟家庭看照的功能结合但是要很多人去找按钮或面板按实在很不方便，既然QBoat Sunny就有Audio In/Out的功能，那干脆做成语音遥控不就得了？所以就有了这次的大冒险啦~~

材料

前言

材料

• QBoat Sunny

更多訊息可以上FB: QuAI Community https://www.facebook.com/QNAPQuAI/

更多訊息可以上FB: QuAI Community https://www.facebook.com/QNAPQuAI/

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Taipei, Taiwan (Dec 22, 2017) - QNAP® Systems, Inc. introduced its first video companion robot - AfoBot. Starting from a family life setting and coupled with the new trend of voice recognition technology, AfoBot can easily start video interactions, life assistant services, and provide voice-controlled entertainment for a smarter home. After being first displayed at Computex Taipei 2017, QNAP started integrating application services and optimizing the user experience, and is now ready to launch AfoBot!

The AfoBot operating system is based on Android™ 6 and carries on the user experience of Android mobile phones or tablets that means even children or the elderly can use it with ease. Aaron Lee, VP of the Consumer Solution Business Division of QNAP expressed that "Technology should be close to human nature and improve our lives. But as there is a digital divide in terms of knowledge on the user's part, technology tends to have a gap in their uses." Therefore we switched to voice controls to integrate AfoBot into family life to continue the real experience of family companionship and interactions.