摘要： 【TechOrange 編輯部推薦好書：《大威脅：未來經濟十大趨勢與生存法則》】 本書作者盧比尼曾對 2008 年的金融海嘯預測成真，而有了「末日博士」的稱號。這次他把 AI 列為對未來經濟造成巨大衝擊的十大威脅之一，原因在於機器學習已經克服了阻攔 AI 前進的長期障礙，AI 將會影響未來各個產業。 在新的一年，不管是在哪個產業的工作者都必須正視 AI 會帶來的威脅，並仔細思考未來我們人類要如何在「處處都是 AI 」的環境下工作。
摘要： 2023 will bring exciting advances in AI and graph technology. One of the most compelling innovations will be the ability for quantum programs to be turned into graphs and vice versa. Natural language understanding will become part of AI models. The adoption of standards-based semantic layers will spike as they enable data selection through business terms. Graph neural networks (GNNs) will become standard in knowledge graphs and causal knowledge graphs will emerge.
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As we head into 2023, machine learning (ML) professionals are taking stock of the past year and identifying potential key opportunities moving forward.
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Artificial intelligence has already permeated our everyday lives. We see it everywhere, even when we’re not aware of it. From the algorithm that drives our online searches to the app we use on our phones, AI is all around us.
摘要： Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
