Nvidia如何在32小時內讓人工智能機器人接受42年的訓練並完成這個任務

Nvidia如何在32小時內讓人工智能機器人接受42年的訓練並完成這個任務

Nvidia用強化學習訓練了一隻機器人的手,使其擁有令人難以置信的靈巧性,使用模擬技術大幅加快了訓練時間,並將計算成本降低了200倍。谷歌DeepMind的AlphaCode的編程能力在人類程序員中排名前53%。小米機器人公司有史以來第一次訓練了一個人形AI機器人打鼓。

AI新聞時間戳。
0:00 Nvidia人工智能機器人手的靈活性
1:26 應用仿真技術
2:12 民主化的靈巧性
3:21 合成數據的感知
4:13 仍然存在的挑戰
4:43 谷歌DeepMind AlphaCode AI
6:34 仿人型人工智能機器人演奏鼓聲

人工智能 (AI) 機器人是旨在模仿人類認知和行為的自主機器。 他們配備了傳感器和算法,使他們能夠感知周圍的環境、做出決定並根據這些決定採取行動。

人工智能機器人可分為兩大類:狹義人工智能或通用人工智能。 狹義人工智能機器人旨在執行特定任務或一組任務,例如圖像識別或語言翻譯。 這些機器人通常用於製造、運輸和醫療保健等行業。

另一方面,通用人工智能機器人被設計為更加通用,能夠執行更廣泛的任務。 這些機器人通常更先進,可能能夠適應並從他們的經驗中學習。 通用人工智能機器人仍處於早期發展階段,尚未普及。

人工智能機器人的一些例子包括自動駕駛汽車、無人機和用於醫院或機場的服務機器人。 人工智能機器人有可能徹底改變各個行業,並使許多任務更有效率和成本效益。 然而,它們也引發了對就業和隱私的潛在影響的道德和社會擔憂。


Artificial intelligence (AI) robots are autonomous machines that are designed to mimic human cognition and behavior. They are equipped with sensors and algorithms that allow them to perceive their environment, make decisions, and take actions based on those decisions.

AI robots can be classified into two main categories: narrow or general AI. Narrow AI robots are designed to perform a specific task or set of tasks, such as image recognition or language translation. These robots are often used in industries such as manufacturing, transportation, and healthcare.

General AI robots, on the other hand, are designed to be more versatile and able to perform a wider range of tasks. These robots are typically more advanced and may be able to adapt and learn from their experiences. General AI robots are still in the early stages of development, and they are not yet widely available.

Some examples of AI robots include self-driving cars, drones, and service robots that are used in hospitals or airports. AI robots have the potential to revolutionize various industries and make many tasks more efficient and cost-effective. However, they also raise ethical and social concerns about the potential impact on employment and privacy.

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