摘要: 多年前,在我讀碩士的時候,垂涎一位台灣女神老師的美色,跑去旁聽她的課。正當我捧著兩腮,眼冒星星地看著女神,花痴地流著口水時,聽到她說:人工智能是不可能取代人的。當時她正在展示兩條新聞,都是關於某位大人物的去世。一條由人工智能機器人編寫,內容是某年某月,誰誰誰死了,頭銜是什麼,過往生平如何。另一條是記者寫的,內容類似於“天陰沉沉地下著小雨,彷彿全世界都在垂淚哀悼……”當女神老師斬釘截鐵地表示,應該拋棄人工智能的作品而選擇人類的作品的時候,我意識到女神老師和前沿領域脫節了。

摘要: Bound for a foreign country where you don’t speak the language? Good news: Google has you covered. This afternoon, the Mountain View tech giant announced that Translate, its free multilingual machine translation service, is now more robust. Offline, translation accuracy has improved by an order of magnitud in some cases.

摘要: Computer Vision models have learned to identify objects in photos such precision that some may outperform humans in some data sets. But when these same object detectors are released into the real world, their performance decreases dramatically, creating reliability problems for self-driving cars and other critical systems for security that using the machine vision .

摘要: AI and machine learning algorithms capable of reading lips from videos aren’t anything out of the ordinary, in truth. Back in 2016, researchers from Google and the University of Oxford detailed a system that could annotate video footage with 46.8% accuracy, outperforming a professional human lip-reader’s 12.4% accuracy. But even state-of-the-art systems struggle to overcome ambiguities in lip movements, preventing their performance from surpassing that of audio-based speech recognition.

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