人工智能机器人通过软件学习人类技能

为什么很多人听力无法提高？

原因可能有：

没有选对材料，听过难或简单的听力材料；

没有刻意训练，只是不断听，没有纠正自己的错误；

大多数人都会涉及到的一个问题，坚持不下来。

关注普特的小伙伴们都知道普特君一直开设听力训练营来和大家一起坚持练习听力，那第五期听力训练营（30天听力进阶训练）也开始了，大家随时可以加入，从第1课解锁，解锁完成30课时，前50名完成解锁即可赠送普特出版的1套听力书籍，50名以后完成即送50元优惠券，可以兑换普特英语微课堂任意一门课程。

30天听力持续进阶训练：

素材节选自每天更新的VOA慢速、常速和BBC中的30s以内的音频便于听写；

每天的6句话做到完全听懂，单词学会，那在30天解锁课程中就会得到真正的进阶。

前500名参加只需19.9元 第五期听力打卡

识别二维码小程序即可参与听写训练

Researchers have found a way to use software to teach a human-like robotic hand new skills. The discovery could one day make it less costly to train robots to do things that are easy for humans to do.

The researchers are with OpenAI, a noNPRofit artificial intelligence research group established in 2015. The group receives support from several well-known investors and inventors, including Elon Musk of Tesla Incorporated.

OpenAI researchers announced last week that they had taught a robotic hand to recognize different qualities of a colorful object. The object was a small, six-sided box with different numbers and colors on each side. The researchers wanted the robotic hand to show them a specific side of the box. The machine was able to turn the box around until the desired side was showing.

The act may seem simple. But it demonstrates a major improvement in how the machine learned to do what the researchers were asking of it.

All the learning happened inside a software-based re-creation of the real world, or a simulation. The machine was then able to bring everything it had learned into the physical world.That jump helps solve what had been a major problem for robotic hands.

Researchers have found a way to use software to teach a human-like robotic hand new skills. The discovery could one day make it less costly to train robots to do things that are easy for humans to do.

The researchers are with OpenAI, a noNPRofitartificialintelligence research group established in 2015. The group receives support from several well-known investors and inventors, including Elon Musk of Tesla Incorporated.

OpenAI researchers announced last week that they had taught a robotic hand to recognize different qualities of a colorful object. The object was a small, six-sided box with different numbers and colors on each side. The researchers wanted the robotic hand to show them a specific side of the box. The machine was able to turn the box around until the desired side was showing.

The act may seem simple. But it demonstrates a major improvement in how the machine learned to do what the researchers were asking of it.

All the learning happened inside a software-based re-creation of the real world, or a simulation. The machine was then able to bring everything it had learned into the physical world.That jump helps solve what had been a major problem for robotic hands.

artificial

/ɑːtɪ'fɪʃ(ə)l/

adj: 人造的，仿造的 ;

第三期听力已有1600名小伙伴参加打卡

第五期听力训练营今天开始报名啦

每天6句精选内容持续进阶

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