發表文章

數據智造新時代論壇: 創新開啟 共創彰化

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  彰化縣府勞工處AI論壇 勞工處處長到現場致詞 這個抽獎也太豐富了吧! 彰化AI論壇 = 學習 + 超級大抽獎 參加講座還能抽獎帶走好禮? ⪼ 報名表單 沒錯!這次不只學AI,更要讓您收穫滿滿! 抽獎大獎公開! 📸數位好物區 拍立得相機、CCD數位相機 總共5台等您帶回家! 🎁 企業贊助區 7個精選企業贊助品,每個都是實用好物! ◊◊◊◊參加好禮◊◊◊◊ 神秘紀念品每人一份 + 精緻下午茶 🌟學生專屬加碼! 因賴慶鴻老師介紹而來的同學,額外贈送手搖飲料一杯🍹 記得報名時註明是賴老師推薦唷~ ▶▶▶重點來了▶▶▶ 這些好禮還不是最重要的,最重要的是您能學到業界最新AI技能! 畢業求職必備技能,現在就開始累積優勢! 豪華講師陣容: 陳郁文 大葉校發長 | 黃登淵 電機系教授 | 林書凡 科技創辦人 想要未來職涯更有競爭力?想要學習還能拿好禮? 機會就在眼前,僅限100人! 賴慶鴻老師推薦學生還有專屬好康~ 立即報名,為未來加分! ⪼⪼⪼ 報名表單 *所有獎項以現場實物為準,主辦單位保有活動最終解釋權

Gemini 2.0 Flash Experimental now natively supports image generation //// Gemini 2.0 Flash 實驗版現在支援更自然的圖像生成及編輯

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  Google AI Studio  中使用實驗版本的 Gemini 2.0 Flash (gemini-2.0-flash-exp) 已開放使用。Gemini 2.0 Flash 結合多模態輸入、增強推理和自然語言理解來創造圖像。在人臉生成部分也更為自然不扭曲.... 對深偽詐騙議題形成更大挑戰.... An experimental version of Gemini 2.0 Flash (gemini-2.0-flash-exp) is now available in Google AI Studio, which combines multimodal input, augmented reasoning and natural language understanding to create images. Face generation is also more natural and less distorted. .... Creating a greater challenge to the problem of Deep Fake 快來 Google AI Studio 試試

The IDNA of Taiwan was established to help Taiwan become the world's top choice for digital nomadism! 台灣國際弄碼客學會成立 助台灣躍升全球數位遊牧首選!

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 台灣國際弄碼客聯盟已成立,歡迎加入並給予指教:  IDNA Taiwan International Digital Nomad Alliance is established, welcome to join and give advice. IDNA News 台灣弄碼客國際聯盟歡迎國際人才為台灣加油

台灣國際弄碼客學會/Taiwan Digital Nomad Alliance

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  數位遊牧(Digital Nomad)是一種結合遠端工作與旅行的生活方式,特別受到斜槓工作者與年輕世代的青睞。透過網際網路,人們不再受限於特定辦公室,而是能夠在世界各地自由移動,邊工作邊探索不同文化。只需一台筆電與穩定網路,便可從事自由職業、內容創作、線上教育或科技開發等工作,實現經濟獨立與生活自由。這種模式不僅提供靈活的職涯選擇,還讓人們建立國際人脈,提升多元技能。許多國家已推出「數位遊牧簽證」,讓遠端工作者能夠長期居住,進一步推動數位遊牧文化的發展。隨著遠端辦公技術的進步,數位遊牧將成為未來職場趨勢,為年輕世代開創更多可能性,讓工作與生活更加自由、豐富且充滿探索機會。 歡迎加入 台灣弄碼客學會 ,探索職涯更多可能性:  Welcome to join in   Taiwan Digital Nomad Alliance Digital Nomad is a lifestyle that combines remote work and travel, especially favored by leveraged workers and the younger generation. Instead of being confined to a specific office, the Internet allows people to move around the world and explore different cultures while working. With just a laptop and a stable Internet connection, people can work in freelance jobs, content creation, online education, or technology development, realizing financial independence and freedom. This model not only provides flexible career choices, but also allows people to build international networks and diversify their skills. Ma...

線上機械學習基礎與進階課程/Basic and Advanced Mechine Learning Programme on line

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  LinkedIn Prof Yuh Wen Chen We are invited to deliver some basic courses online cooperated with   Universitas Negeri Malang , which are available for studying basic and advanced issues in data science: 1. Fundamentals of Big Data Analysis Unit 1 2. Python Basics with Colab and a start for Machine Learning Unit 2 3. Moving Average, Simple and Multiple Regression Unit 3 4. Clustering  Unit 4 5. Association Rules in Marketing   Unit 5 6 Neural Networks   Unit 6

YOLO 的產業應用: 產品瑕疵辨識 / Industrial Application of YOLO: Identifying the Defectiveness of Products

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  YOLO (You Only Look Once) 是一系列即時物件偵測的機器學習演算法。物件偵測是電腦視覺的基本任務,利用神經網路來識別和分類影像中的物件。這項技術的應用範圍非常廣泛,包括醫療成像、自動車和監控系統。在用於物體偵測的各種機器學習方法中,卷積神經網路 (CNN) 扮演了舉足輕重的角色。 CNN 是所有 YOLO 模型的基礎,可讓研究人員與工程師有效率地執行物件偵測與分割任務。作為開放原始碼的模型,YOLO 已經在該領域中獲得廣泛採用,並在相繼的版本中不斷改進,提高了精確度、性能和附加功能。 YOLO (You Only Look Once) is a family of real-time object detection machine learning algorithms. Object detection, a fundamental task in computer vision, leverages neural networks to identify and classify objects within images. This technology has a broad range of applications, including medical imaging, autonomous vehicles, and surveillance systems. Among the various machine learning approaches used for object detection, convolutional neural networks (CNNs) play a pivotal role.  CNNs serve as the foundation for all YOLO models, enabling researchers and engineers to perform object detection and segmentation tasks efficiently. As open-source models, YOLO has gained widespread adoption in the field, with continuous improvemen...

AR 擴增實境於時尚產業之應用/AR Enhanced Reality in the Fashion Industry

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  擴增實境(AR)在時尚產業中的應用提供了許多創新方式來增加附加價值,這包括改善顧客體驗、增強品牌互動以及提供個性化選項。本專題計畫允許顧客在不需要實際試戴帽子的情況下,透過智能手機或鏡子即時看到自己模擬戴帽的樣子。這不僅提升了購物體驗,還能減少因穿戴導致的衛生問題。未來這些數位資產也有助於公司運用於預測消費者偏好,並設計符合市場需求產品。 The use of Augmented Reality (AR) in the fashion industry offers a number of innovative ways to add values to SMEs, including improving the customer experience, enhancing brand interaction and providing personalization options. This project allows customers to see themselves in a simulated hat on a smartphone or mirror in real time, without actually trying on the hat. This not only enhances the shopping experience, but also reduces hygiene issues associated with wearing hats. In the future, these digital assets will also help the company to anticipate consumer preferences and design products that meet market needs. 歡迎一起來開發...   AVR 開發平台 Zap Works