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摘要: Truist Financial Corporation ( NYSE: TFC), today announced the launch of Truist Assist in its mobile banking app and online banking platform for personal banking (retail and wealth) clients.

摘要: Maybe we don’t need more data, we just need people who understand the data we already have and its value in a business context.

摘要: 人工智慧可以做到的事情越來越多,AI 將文字轉圖片的功能越來越強大,只要輸入的文字夠精準,AI 就可以創造出意想不到的圖片。而一名藝術家 Jason Allen 使用了名為 Midjourney 的人工智慧製圖程式製作了名為 Théâtre D’opéra Spatial 的藝術作品,並在科羅拉多州博覽會的美術比賽中拿下了數位藝術的第一名。

摘要: The list of features for DALL-E 2 now includes a brand-new feature called Outpainting. Like inpainting, a well-known component of various picture creation models, Outpainting modifies specific areas of an existing image while keeping its aesthetic.

摘要: 交通運輸是社會運作的大動脈,不過在人流、車流數量龐大的特定時、地,這條動脈難免會堵塞,AI 智慧控制交通燈號(又稱「適應性號誌」)則可舒緩此狀況,桃園近期試辦的智慧交通計畫中,就利用 AI 技術讓車輛停等紅綠燈的時間減少 20%,「AI 智慧號誌控制是社會大眾最有感的智慧交通系統之一,這項技術確實可以讓用路人大幅降低塞車之苦。」凌華科技智能視覺事業中心資深產品經理許凱翔指出。

摘要: 若元宇宙真的成為了我們的未來,那麼在這樣的虛擬世界中,打造貼近現實樣貌的虛擬分身似乎是一個值得發展的技術。透過臉部動作捕捉技術,建立出幾乎一樣的自己,讓超逼真的虛擬分身代替我們進入虛擬購物中心,並在工作面試或會議上代表我們。

摘要: Let’s find out about the cons of artificial intelligence to understand if an error cause chaos or devastation.

摘要: Gartner research predicts that by 2026, the chatbot industry will grow into an $8.8B business. According to research done by Yellow.ai and C-Zentrix, a 320% growth of Global Voice Assistant transaction values is expected between 2021-2023.Here are 7 ways that Chatbots are being used to engage, analyze, and ultimately satisfy the end user, customer and employee for today’s forward thinking companies.

摘要: Successful companies today need to be data driven. A survey by NewVantage Partners found that 92% of organizations are increasing their investments in data and artificial intelligence (AI) capabilities. On the flipside however, only 19% of companies feel that they are truly being data driven. This analytics gap continues to widen and conspires to impede organizational process. This gap boils down to one thing: a lack of analytics capacity within organizations. There are both technical and cultural challenges that affect the development of data-driven organizations.

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