當前位置

首頁 > 英語閱讀 > 雙語新聞 > 谷歌推出自己的AI助手

谷歌推出自己的AI助手

推薦人: 來源: 閱讀: 1.69W 次

Google has always used its annual I/O conference to connect to developers in its sprawling empire. It announces new tools and initiatives, sprinkles in a little hype, and then tells those watching: choose us, and together we’ll go far.

谷歌總是在每年一度的I/O開發者大會上與自己龐大帝國中的開發商聯絡感情,宣佈新工具、新計劃,宣傳造勢,然後告訴所有看客:選擇我們,我們將攜手走得更遠。

But while in previous years this message has been directed at coders working with Android and Chrome — the world’s biggest mobile OS and web browser respectively — yesterday, CEO Sundar Pichai made it clear that the next platform the company wants to dominate could be even bigger: artificial intelligence.

但是過去的幾年中,谷歌一直向世界上最大的移動操作系統安卓和谷歌瀏覽器傳達一個信息,5月17日,谷歌首席執行官桑達爾?皮查伊明確表明了谷歌下一個戰略宏圖就是人工智能

For Google, this doesn’t just mean using AI to improve its own products. (Although it’s certainly doing that).

對谷歌而言,這不僅僅是爲了利用人工智能提升自己的產品(雖然谷歌目前正是這麼做的)。

padding-bottom: 66.63%;">谷歌推出自己的AI助手

The company wants individuals and small companies around the world to also get on board. It wants to wield influence in the wider AI ecosystem, and to do so has put together an impressive stack of machine learning tools — from software to servers — that mean you can build an AI product from the ground up without ever leaving the Google playpen.

谷歌想要讓世界上所有人和小規模公司都加入到它的行列,它想在人工智能領域擴大影響。若要達成此目的,需要具備大量的從軟件到服務器這樣的機器學習工具,具備這些就意味着無需離開谷歌便能從無到有,製作一款人工智能產品。

Other firms like Amazon, Facebook, and Microsoft also offer their own AI tools, but it’s Google’s that feel pre-eminent.

亞馬遜、臉譜、微軟等其他公司也推出了自己的人工智能工具,但只有谷歌顯得卓爾不羣。

Samim Winiger, head of machine learning design studio . thinks this is partly down to the company’s capacity to shape the media narrative, but also because of the strong level of support it provides to its users.

機器學習設計工作室總裁薩米姆?威尼格認爲一部分原因是谷歌能夠左右媒體敘事,另外便是源於谷歌對用戶的強力支持。

“There are technical differences between [different AI frameworks], but machine learning communities live off community support and forums, and in that regard Google is winning,” he says.

他說,“不同的人工智能框架技術有所差異,但是機器學習社區取決於社區支持和論壇,從這方面而言,谷歌是贏家。”