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每日英語跟讀 Ep.806: About Technology - 量子人工智慧時代來臨與電路進化 The Age of Quantum AI

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每日英語跟讀 Ep.806: About Technology - The Age of Quantum AI

The age of Quantum AI is upon us. AI needs processing power that current computers can’t provide but quantum computers could pick up the slack.

量子人工智慧的時代來臨。人工智慧(AI)需要當前計算機(電腦)無法提供的處理能力,而量子電腦可以彌補不足之處。

Google announced that it had built the world’s first real quantum processor, the 53-qubit Sycamore chip. It seems that IBM took it a little bit personally, maybe because Big Blue’s Summit is the world’s fastest calculating machine, for now.

谷歌(Google)已宣布研發出全球首座真正的量子處理器,即53量子位元的「Sycamore」晶片。但國際商業機器公司(IBM)對此頗有微詞,因為IBM的超級電腦「Summit」現在還是全球最快的計算機。

Quantum computing and AI aren’t just two parallel research fields that happen to meet somewhere. They’re more like a match made in heaven.

量子運算與人工智慧不僅是平行卻碰巧有交集的兩個研究領域。它們更像是天生一對。

Big Data is the nexus between AI and quantum computers. The former needs data and lots of it to learn and improve its intelligence. The latter are well-equipped to deal with huge swaths of data in a time-efficient manner.

大數據是人工智慧與量子電腦的連接點。前者(人工智慧)需要透過大數據學習及改進。後者(量子電腦)能夠高效處理大數據。

Financial modeling, weather forecasting, chemical simulations, and quantum cryptography are just a few examples of the areas that quantum AI would revolutionize.

財政模型化、天氣預報、化學模擬、量子密碼學都只是量子人工智慧即將革新的其中一些領域。

Next Article:

Evolution of circuits for machine learning 機器學習電路的進化

Artificial intelligence (AI) has allowed computers to solve problems that were previously thought to be beyond their capabilities. There is therefore great interest in developing specialized circuits that can complete AI calculations faster and with lower energy consumption than current devices.

人工智慧(AI)讓電腦能夠解決此前被認為超出計算機能力範圍的問題。人們因此相當關注專門電路的開發,以實現比現有裝置更快速、能源消耗更低的人工智慧計算。

Writing in Nature, Tao Chen et al. demonstrate an unconventional electrical circuit in silicon that can be evolved in situ to carry out basic machine-learning operations.

陳滔(譯音)等人刊登在《自然》的研究,演示一種在矽材料上的非常規電路,它能直接執行基本的機器學習運算。

Previous work by some of the current authors produced isolated charge puddles from a collection of gold nanoparticles that were randomly deposited on a silicon surface, with insulating molecules between them. These puddles are at the heart of Chen and colleagues’ circuit design.

該研究的其中一些作者先前在矽材料的表面隨機堆積奈米黃金顆粒,並用絕緣分子隔開這些電荷坑。金奈米電荷坑是陳博士團隊的電路設計核心。

Source article: https://features.ltn.com.tw/english/article/paper/1354193 ; https://features.ltn.com.tw/english/article/paper/1349153

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