<p>This talk will share some practical AI landing cases with AI vision, AI audio, and Generative AI Technologies, such as AI smart sustainable agriculture, smart manufacturing, and smart health care. This talk will also introduce“AI maker”-- a platform for cultivating practical AI Talents by implementing AI vision recognition models and AI audio recognition models. The training program includes data (audio/image) collection, uploading, data augmentation, labeling,   AI model training, download and execute AI models on end devices, such AR smart glasses, smart cell phone, AI tap stick, edge AI devices, robotics. The platform also provides tools to evaluate the performance of the trained AI models. We also build an alliance of sharing distributed GPU computing resources via Internet. The AImaker is a no-code platform and users can build and test their own AI models easily to accumulate practical AI experiences.</p>
<p>本專題演講將介紹 AI 視覺、AI 聽覺、生成式AI 在實際產業落地的應用案例（包含智慧永續農業、智慧製造、智慧照護、智慧餐飲等等）以及 AImaker 實作型AI 人才培育平台,此平台專注於提供實作AI 視覺模型、AI 聽覺模型、與AI 生成式模型的服務。包含數據收集、數據上傳、數據增量（含AI 生成數據）、數據標注（含 AI 自動標注）、AI 模型訓練、模型下載到多種終端設備（智慧型手機、AR 智慧眼鏡、AI 敲擊棒、edge AI 設備、機器手臂等等）進行模型的驗證與評量。本平台也透過網路整合多個夥伴單位的 GPU servers 形成算力共享聯盟，共同提供AI 模型建置的算力需求服務。</p>

<p>此平台為 no-code 設計，不需撰寫程式即可輕鬆使用，創造並驗證（優化）自己的AI 模型，累積AI 產業應用的實務經驗。</p>