AI & Convergence: 5 Breakthroughs to Watch

Published on April 22, 2019

Peter Diamandis Influencer

 

 

In this second installment of our Convergence Catalyzer series, I’ll be synthesizing key insights from my annual entrepreneurs’ mastermind event, Abundance 360, which takes place every January in Beverly Hills. The five-blog series looks at 3D Printing, Artificial Intelligence, Energy & Transportation, VR/AR, and Blockchain.

 

 

Top 5 Predictions for AI Breakthroughs (2019-2024):

My friend Neil Jacobstein is my ‘go-to expert’ in AI, with over 25 years of technical consulting experience in the field. Currently the AI and Robotics chair at Singularity University, Jacobstein is also a Distinguished Visiting Scholar in Stanford’s MediaX Program, a Henry Crown Fellow, an Aspen Institute moderator, and serves on the National Academy of Sciences Earth and Life Studies Committee.

 

At Abundance360 this year, Neil predicted five trends he expects to emerge over the next 5 years, by 2024. Let’s take a look…

 

(1) AI gives rise to new non-human pattern recognition and intelligence results.

 

AlphaGo Zero, a machine learning computer program trained to play the complex game of Go, defeated the Go world champion in 2016 by 100 games to zero. But instead of learning from human play, AlphaGo Zero trained by playing against itself — a method known as reinforcement learning.

 

Building its own knowledge from scratch, AlphaGo Zero demonstrates a novel form of creativity, free of human bias. Even more groundbreaking, this type of AI pattern recognition allows machines to accumulate thousands of years of knowledge in a matter of hours.

 

While these systems can’t answer the question, “What is orange juice?” or compete with the intelligence of a fifth grader, they are growing more and more strategically complex, merging with other forms of narrow artificial intelligence. Within the next five years, who knows what successors of AlphaGo Zero will emerge, augmenting both your business functions and day-to-day life.

 

(2) Doctors risk malpractice when not using machine learning for diagnosis and treatment planning.

 

A group of Chinese and American researchers recently created an AI system that diagnoses common childhood illnesses, ranging from the flu to meningitis. Trained on electronic health records compiled from 1.3 million outpatient visits, of almost 600,000 patients, the AI program produced diagnosis outcomes with unprecedented accuracy.

 

While the U.S. health system does not tout the same level of accessible, universal health data as do some Chinese systems, we’ve made progress in implementing AI in medical diagnosis. Dr. Kang Zhang, chief of ophthalmic genetics at the University of California, San Diego, created his own system that detects signs of diabetic blindness, relying on both text and medical images.

 

With an eye to the future, Jacobstein has predicted that “we will soon see an inflection point where doctors will feel it’s a risk to not use machine learning and AI in their everyday practices because they don’t want to be called out for missing an important diagnostic signal.”

 

(3) Quantum Advantage will massively accelerate drug design and testing.

 

Researchers estimate that there are 1060 possible drug-like molecules — more than the number of atoms in our solar system. But today, chemists must make drug predictions based on properties influenced by molecular structure, then synthesize numerous variants to test their hypotheses.

 

Quantum computing could transform this time-consuming, highly costly process into an efficient, not to mention life-changing, drug discovery protocol.

 

“Quantum computing is going to have a major industrial impact… not by breaking encryption,” said Jacobstein, “but by making inroads into design through massive parallel processing that can exploit superposition and quantum interference and entanglement, and that can wildly outperform classical computing.”

 

(4) AI accelerates security systems’ vulnerability and defense.

 

With the incorporation of AI into almost every aspect of our lives, cyberattacks have grown increasingly threatening. “Deep Attacks” can use AI-generated content to avoid both human and AI controls.

 

Previous examples include fake videos of former President Obama speaking fabricated sentences, and an adversarial AI fooling another algorithm into categorizing a stop sign as a 45 mph speed limit sign. Without the appropriate protections, AI systems can be manipulated to conduct any number of destructive objectives, whether ruining reputations or diverting autonomous vehicles.

 

Jacobstein’s take: “We all have security systems on our buildings, in our homes, around the healthcare system, and in air traffic control, financial organizations, the military, and intelligence communities. But we all know that these systems have been hacked periodically and we’re going to see that accelerate. So, there are major business opportunities there and there are major opportunities for you to get ahead of that curve before it bites you.”

 

(5) AI design systems drive breakthroughs in atomically precise manufacturing.

 

Just as the modern computer transformed our relationship with bits and information, AI will redefine and revolutionize our relationship with molecules and materials. AI is currently being used to discover new materials for clean-tech innovations, such as solar panels, batteries, and devices that can now conduct artificial photosynthesis.

 

Today, it takes about 15 to 20 years to create a single new material, according to industry experts. But as AI design systems skyrocket in capacity, these will vastly accelerate the materials discovery process, allowing us to address pressing issues like climate change at record rates. Companies like Kebotix are already on their way to streamlining the creation of chemistries and materials at the click of a button.

 

Atomically precise manufacturing will enable us to produce the previously unimaginable.

 

Final Thoughts

Within just the past three years, countries across the globe have signed into existence national AI strategies and plans for ramping up innovation. Businesses and think tanks have leapt onto the scene, hiring AI engineers and tech consultants to leverage what computer scientist Andrew Ng has even called the new ‘electricity’ of the 21st century.

 

As AI plays an exceedingly vital role in everyday life, how will your business leverage it to keep up and build forward?

 

In the wake of burgeoning markets, new ventures will quickly arise, each taking advantage of untapped data sources or unmet security needs.

 

And as your company aims to ride the wave of AI’s exponential growth, consider the following pointers to leverage AI and disrupt yourself before it reaches you first:

 

Determine where and how you can begin collecting critical data to inform your AI algorithms.

Identify time-intensive processes that can be automated and accelerated within your company.

Discern which global challenges can be expedited by hyper-fast, all-knowing minds.

Remember: good data is vital fuel. Well-defined problems are the best compass.

 

And the time to start implementing AI is now.

 

Join Me

 (1) A360 Executive Mastermind: This is one of the key conversations I explore at Abundance 360. The program is highly selective, for 360 abundance- and exponentially minded CEOs (running $10M to $50B companies). If you’d like to be considered, apply here.

 

Share this with your friends, especially if they are interested in any of the areas outlined above.

 

(2) Abundance-Digital Online Community: I’ve also created a Digital/Online community of bold, abundance-minded entrepreneurs called Abundance-Digital. Abundance-Digital is my ‘onramp’ for exponential entrepreneurs – those who want to get involved and play at a higher level. Click here to learn more.

 

(3) Abundance Platinum China 2019 Trip: Join me and an exclusive group of 20 CEOs, investors and entrepreneurs on the trip of a lifetime to the heart of Chinese tech innovation. This year, we are diving into the tech epicenter of China’s Greater Bay Area — a megalopolis predicted to surpass all international ‘bay areas’ by 2030.

 

We will visit key Chinese startups and tech giants in AI, robotics, IoT, intelligent hardware, 5G networks, FinTech and regenerative medicine. Meet China’s leading investors, key executives, and build the necessary network of local partners to expand your business into China’s thriving market.

 

Email [email protected] for more details.

 


樂高機器人對孩子成長的好處,您知道嗎 ?

有的媽媽不理解,為什麼要讓孩子去學樂高機器人?其實達妹想說,樂高機器人教育,能夠真正讓孩子「玩中學」,從愛玩轉向愛學~

學習樂高機器人能夠給孩子的成長帶來哪些好處,我們一起來了解一下吧

遊戲與玩相結合

孩子是天生的學習者,但孩子們不願意被逼著去學習太難或過於簡單的知識。在「玩」的過程中,孩子們探索、體會屬於他們的世界則會更容易掌握知識,無論是書本上的還是課本之外的。相信通過動手實踐孩子會有一種滿足感和自信心,即使失敗至少嘗試過。這樣她會更容易、渴望掌握書本上有的或課外的知識。而且相信她們會更容易記住這些知識。

更好的發揮自我的個性

當你打開樂高的零件盒,你會發現裡面有很多不同零件。用這些小的零件塊進行搭建模型時無須用膠水,螺絲釘,或其他的特殊的工具,只須用手就可以,因為這些零件具有連通性。而且零件之間連接的非常牢固。如何讓樂高實現它的模塊性,不單單是把一塊零件搭到另一塊上,是需要一定的思路。 機器人的搭建可以給孩子們無限的想像力,讓他們自由發揮。

輕鬆學習枯燥的初高中理科知識

在搭建機器人的過程中,你會發現機器人在運行的過程中有許多要修改的地方?首先是機器人的結構,這裡你可能需要用到物理結構以及機械相關的知識,從這些方面對所搭建的機器人進行優化改造。例如:當觀察到車子運行太慢,我們得先檢查機器人的輪子是否正常,是不是機器人里的傳感器影響了它的運行情況。如果這些沒有問題,那我們就去檢查機器人的程序是否有問題,及時修改程序,咱們的機器人就能再次運行啦。

讓孩子們在玩機器人的過程中去學習這些理論知識,他們就會特別感興趣,因為不僅掌握了這些知識,他們還會運用這些知識搭建更多有創意的作品。

從實踐中體會自我成就感

讓一個剛剛接觸機器人的孩子單獨去搭建一個機器人是一件非常困難的事,他們需要反覆實踐,花大量的時間動手操作。在花了大半個上午時間,甚至1天、2天...搭建好了一個機器人,並且實現了預想的功能,孩子們就會特別幸喜,有成就感。在這種一次次成功實踐的過程中,孩子的自信心得到了極大的鍛鍊,而且這些成本是非常低廉的,簡單的一次作品,或是一次比賽。從小培養出來的這種成就感會讓他們充滿自信,對他們的人生髮展具有極其重要的意義。

更好的激發孩子興趣和學習能力

興趣是孩子最好的老師。孩子們會對他們所感興趣的東西樂此不疲,即便受挫很多次,他們都會努力做下去。機器人是一種綜合知識的實踐產物,每一個孩子對機器人基本上都是零牴觸心態。每一個孩子都有一顆對世界好奇的心態,他們對機器人這種科技產物充滿探索心態,希望這些機器產物帶給他們科技的力量與驚喜。學習機器人,正是孩子們所願意花時間去了解的,這可以極大地激發他們的興趣,保持好奇心,增強孩子們的學習能力。

主動思考與發現和解決問題的能力

當機器人走進我們的生活,我們似乎又回到了童年,對事物又有了不同的理解。讓我們來看個例子,假如要做一個機器人,首先要先有一個合理的構思,考慮到機器人如果遇到障礙物會是什麼反映?在道路顛簸時,會改變行走的路徑,這樣在設計時要保障它能夠前進和後退,靈活的改變方向。也可加一個簡單的緩衝器,使其碰到障礙物時自動停止。

最後,你要為機器人編寫出程序,在房間裡運行時,假如地毯的線不慎進入你的齒輪,使機器人不能正常運行。這時你需仔細檢查,作出處理來使它能夠恢復撞牆以後能夠自由的旋轉。為了防止由於緩衝器過高不容易發現障礙物,你可以將它安裝的低一些。在這期間,你可以用手觸動來改變機器人的運行方向。對你的程序添加部分內容,你會發現像登樓梯一樣的簡單。

團隊合作以及動手能力的培養

目前,機器人課程學習的價值的顯性體現是機器人的相關賽事。幾人一組的比賽是一個整體,孩子們想要取得勝利,首先彼此要學習用語言或非語言方式與隊友進行溝通和合作。通過比賽可以提高其語言表達的能力,想讓隊友更好地了解你的意圖,你就必須要有良好的語言表達能力。同時在彼此想法出現差錯時,彼此的溝通又是很重要的,大家必須一起協商、比較誰的方案好,或者綜合兩人的想法。這無論是現在或將來對孩子多很重要,學會與人溝通,團隊合作。

動手能力:光會講不會做同樣是不可取的。通過參加機器人課程可以提高她們的動手能力,哪個部件在什麼位置必須其親歷親為,這對於今天的孩子是很重要的。


樂高教育大揭秘

1、遊戲與玩相結合

孩子是天生的學者,但孩子們不願意被逼著去學太難或過於簡單的知識。在「玩」的過程中,孩子們探索、體會屬於他們的世界則會更容易掌握知識,無論是書本上的還是課本之外的。相信通過動手實踐孩子會有一種滿足感和自信心,即使失敗至少嘗試過。這樣她會更容易、渴望掌握書本上有的或課外的知識。而且相信她們會更容易記住這些知識。

2、更好的發揮自我的個性

孩子的個性可以從他們的日常行為觀察出來,也可以通過他們的作品呈現出來。機器人的搭建可以給孩子們無限的想像力,讓他們自由發揮。貝爾機器人使用的是樂高教具,為什麼選擇樂高呢?大家都知道,樂高的教育理念是:可以重複使用的積木。這些積木你可以搭建一個小人,你也可以搭建一棟摩天大樓,或者你還可以搭建一隻大象、一條魚、一隻老虎等等。當你打開樂高的積木盒,你會發現裡面有很多積木塊,並且有搭建手冊,你可以根據手冊的提示自己進行設計。用這些小的積木塊進行搭建模型時無須用膠水,螺絲釘,或其他的特殊的工具,只須用手就可以,因為這些積木具有連通性。而且積木之間連接的非常牢固,不管你怎樣用力,他們都不會被損壞。如何讓樂高實現它的模塊性,不單單是把一塊積木搭到另一塊上,是需要一定的思路。

3、從實踐中體會自我成就感

讓一個剛剛接觸機器人的孩子單獨去搭建一個機器人是一件非常困難的事,他們需要反覆實踐,花大量的時間動手操作。在花了大半個上午時間,甚至1天、2天。。。,搭建好了一個機器人,並且實現了預想的功能,孩子們就會特別幸喜,有成就感。在這種一次次成功實踐的過程中,孩子的自信心得到了極大的鍛鍊,而且這些成本是非常低廉的,簡單的一次作品,或是一次比賽。從小培養出來的這種成就感會讓他們充滿自信,對他們的人生髮展具有重要的意義。

4、更好的激發孩子興趣和學習能力

興趣是孩子最好的老師。孩子們會對他們所感興趣的東西樂此不疲,即便受挫很多次,他們都會努力做下去。機器人是一種綜合知識的實踐產物,每一個孩子對機器人基本上都是零牴觸心態。每一個孩子都有一顆對世界好奇的心態,他們對機器人這種科技產物充滿探索心態,希望這些機器產物帶給他們科技的力量與驚喜。學習機器人,正是孩子們所願意花時間去了解的,這可以極大地激發他們的興趣,保持好奇心,增強孩子們的學習能力。如果你留意孩子們的眼神,你會發現他們對周圍的一切事物都非常感興趣,並且都有自己獨到的見解。我們學習一般比較反對那些有個性的見解,通常認為那時十分可笑的,因為一般我們已經知道了事情如何做才是正確的,當機器人走進我們的生活,我們似乎又回到了童年,對事物又有了不同的理解。

5、知識和閱歷比同年齡階段的孩子更加豐富,

不僅僅是學到我們書本上以後要學的到得知識,還有生活中的,做個小小博學家。

6、團隊合作以及動手能力的培養

團隊合作:目前,機器人課程學習的價值的顯性體現是機器人的相關賽事。幾人一組的比賽是一個整體,孩子們想要取得勝利,首先彼此要學**用語言或非語言方式與隊友進行溝通和合作。通過比賽可以提高其語言表達的能力,想讓隊友更好地了解你的意圖,你就必須要有良好的語言表達能力。同時在彼此想法出現差錯時,彼此的溝通又是很重要的,大家必須一起協商、比較誰的方案好,或者綜合兩人的想法。這無論是現在或將來對孩子多很重要,學會與人溝通,團隊合作。

動手能力:光會講不會做同樣是不可取的。通過參加機器人課程可以提高她們的動手能力,哪個部件在什麼位置必須其親歷親為,這對於今天的孩子是很重要的。


Blog

AI & Convergence: 5 Breakthroughs to Watch

Published on April 22, 2019

Peter Diamandis Influencer

 

 

In this second installment of our Convergence Catalyzer series, I’ll be synthesizing key insights from my annual entrepreneurs’ mastermind event, Abundance 360, which takes place every January in Beverly Hills. The five-blog series looks at 3D Printing, Artificial Intelligence, Energy & Transportation, VR/AR, and Blockchain.

 

 

Top 5 Predictions for AI Breakthroughs (2019-2024):

My friend Neil Jacobstein is my ‘go-to expert’ in AI, with over 25 years of technical consulting experience in the field. Currently the AI and Robotics chair at Singularity University, Jacobstein is also a Distinguished Visiting Scholar in Stanford’s MediaX Program, a Henry Crown Fellow, an Aspen Institute moderator, and serves on the National Academy of Sciences Earth and Life Studies Committee.

 

At Abundance360 this year, Neil predicted five trends he expects to emerge over the next 5 years, by 2024. Let’s take a look…

 

(1) AI gives rise to new non-human pattern recognition and intelligence results.

 

AlphaGo Zero, a machine learning computer program trained to play the complex game of Go, defeated the Go world champion in 2016 by 100 games to zero. But instead of learning from human play, AlphaGo Zero trained by playing against itself — a method known as reinforcement learning.

 

Building its own knowledge from scratch, AlphaGo Zero demonstrates a novel form of creativity, free of human bias. Even more groundbreaking, this type of AI pattern recognition allows machines to accumulate thousands of years of knowledge in a matter of hours.

 

While these systems can’t answer the question, “What is orange juice?” or compete with the intelligence of a fifth grader, they are growing more and more strategically complex, merging with other forms of narrow artificial intelligence. Within the next five years, who knows what successors of AlphaGo Zero will emerge, augmenting both your business functions and day-to-day life.

 

(2) Doctors risk malpractice when not using machine learning for diagnosis and treatment planning.

 

A group of Chinese and American researchers recently created an AI system that diagnoses common childhood illnesses, ranging from the flu to meningitis. Trained on electronic health records compiled from 1.3 million outpatient visits, of almost 600,000 patients, the AI program produced diagnosis outcomes with unprecedented accuracy.

 

While the U.S. health system does not tout the same level of accessible, universal health data as do some Chinese systems, we’ve made progress in implementing AI in medical diagnosis. Dr. Kang Zhang, chief of ophthalmic genetics at the University of California, San Diego, created his own system that detects signs of diabetic blindness, relying on both text and medical images.

 

With an eye to the future, Jacobstein has predicted that “we will soon see an inflection point where doctors will feel it’s a risk to not use machine learning and AI in their everyday practices because they don’t want to be called out for missing an important diagnostic signal.”

 

(3) Quantum Advantage will massively accelerate drug design and testing.

 

Researchers estimate that there are 1060 possible drug-like molecules — more than the number of atoms in our solar system. But today, chemists must make drug predictions based on properties influenced by molecular structure, then synthesize numerous variants to test their hypotheses.

 

Quantum computing could transform this time-consuming, highly costly process into an efficient, not to mention life-changing, drug discovery protocol.

 

“Quantum computing is going to have a major industrial impact… not by breaking encryption,” said Jacobstein, “but by making inroads into design through massive parallel processing that can exploit superposition and quantum interference and entanglement, and that can wildly outperform classical computing.”

 

(4) AI accelerates security systems’ vulnerability and defense.

 

With the incorporation of AI into almost every aspect of our lives, cyberattacks have grown increasingly threatening. “Deep Attacks” can use AI-generated content to avoid both human and AI controls.

 

Previous examples include fake videos of former President Obama speaking fabricated sentences, and an adversarial AI fooling another algorithm into categorizing a stop sign as a 45 mph speed limit sign. Without the appropriate protections, AI systems can be manipulated to conduct any number of destructive objectives, whether ruining reputations or diverting autonomous vehicles.

 

Jacobstein’s take: “We all have security systems on our buildings, in our homes, around the healthcare system, and in air traffic control, financial organizations, the military, and intelligence communities. But we all know that these systems have been hacked periodically and we’re going to see that accelerate. So, there are major business opportunities there and there are major opportunities for you to get ahead of that curve before it bites you.”

 

(5) AI design systems drive breakthroughs in atomically precise manufacturing.

 

Just as the modern computer transformed our relationship with bits and information, AI will redefine and revolutionize our relationship with molecules and materials. AI is currently being used to discover new materials for clean-tech innovations, such as solar panels, batteries, and devices that can now conduct artificial photosynthesis.

 

Today, it takes about 15 to 20 years to create a single new material, according to industry experts. But as AI design systems skyrocket in capacity, these will vastly accelerate the materials discovery process, allowing us to address pressing issues like climate change at record rates. Companies like Kebotix are already on their way to streamlining the creation of chemistries and materials at the click of a button.

 

Atomically precise manufacturing will enable us to produce the previously unimaginable.

 

Final Thoughts

Within just the past three years, countries across the globe have signed into existence national AI strategies and plans for ramping up innovation. Businesses and think tanks have leapt onto the scene, hiring AI engineers and tech consultants to leverage what computer scientist Andrew Ng has even called the new ‘electricity’ of the 21st century.

 

As AI plays an exceedingly vital role in everyday life, how will your business leverage it to keep up and build forward?

 

In the wake of burgeoning markets, new ventures will quickly arise, each taking advantage of untapped data sources or unmet security needs.

 

And as your company aims to ride the wave of AI’s exponential growth, consider the following pointers to leverage AI and disrupt yourself before it reaches you first:

 

Determine where and how you can begin collecting critical data to inform your AI algorithms.

Identify time-intensive processes that can be automated and accelerated within your company.

Discern which global challenges can be expedited by hyper-fast, all-knowing minds.

Remember: good data is vital fuel. Well-defined problems are the best compass.

 

And the time to start implementing AI is now.

 

Join Me

 (1) A360 Executive Mastermind: This is one of the key conversations I explore at Abundance 360. The program is highly selective, for 360 abundance- and exponentially minded CEOs (running $10M to $50B companies). If you’d like to be considered, apply here.

 

Share this with your friends, especially if they are interested in any of the areas outlined above.

 

(2) Abundance-Digital Online Community: I’ve also created a Digital/Online community of bold, abundance-minded entrepreneurs called Abundance-Digital. Abundance-Digital is my ‘onramp’ for exponential entrepreneurs – those who want to get involved and play at a higher level. Click here to learn more.

 

(3) Abundance Platinum China 2019 Trip: Join me and an exclusive group of 20 CEOs, investors and entrepreneurs on the trip of a lifetime to the heart of Chinese tech innovation. This year, we are diving into the tech epicenter of China’s Greater Bay Area — a megalopolis predicted to surpass all international ‘bay areas’ by 2030.

 

We will visit key Chinese startups and tech giants in AI, robotics, IoT, intelligent hardware, 5G networks, FinTech and regenerative medicine. Meet China’s leading investors, key executives, and build the necessary network of local partners to expand your business into China’s thriving market.

 

Email [email protected] for more details.

 


樂高機器人對孩子成長的好處,您知道嗎 ?

有的媽媽不理解,為什麼要讓孩子去學樂高機器人?其實達妹想說,樂高機器人教育,能夠真正讓孩子「玩中學」,從愛玩轉向愛學~

學習樂高機器人能夠給孩子的成長帶來哪些好處,我們一起來了解一下吧

遊戲與玩相結合

孩子是天生的學習者,但孩子們不願意被逼著去學習太難或過於簡單的知識。在「玩」的過程中,孩子們探索、體會屬於他們的世界則會更容易掌握知識,無論是書本上的還是課本之外的。相信通過動手實踐孩子會有一種滿足感和自信心,即使失敗至少嘗試過。這樣她會更容易、渴望掌握書本上有的或課外的知識。而且相信她們會更容易記住這些知識。

更好的發揮自我的個性

當你打開樂高的零件盒,你會發現裡面有很多不同零件。用這些小的零件塊進行搭建模型時無須用膠水,螺絲釘,或其他的特殊的工具,只須用手就可以,因為這些零件具有連通性。而且零件之間連接的非常牢固。如何讓樂高實現它的模塊性,不單單是把一塊零件搭到另一塊上,是需要一定的思路。 機器人的搭建可以給孩子們無限的想像力,讓他們自由發揮。

輕鬆學習枯燥的初高中理科知識

在搭建機器人的過程中,你會發現機器人在運行的過程中有許多要修改的地方?首先是機器人的結構,這裡你可能需要用到物理結構以及機械相關的知識,從這些方面對所搭建的機器人進行優化改造。例如:當觀察到車子運行太慢,我們得先檢查機器人的輪子是否正常,是不是機器人里的傳感器影響了它的運行情況。如果這些沒有問題,那我們就去檢查機器人的程序是否有問題,及時修改程序,咱們的機器人就能再次運行啦。

讓孩子們在玩機器人的過程中去學習這些理論知識,他們就會特別感興趣,因為不僅掌握了這些知識,他們還會運用這些知識搭建更多有創意的作品。

從實踐中體會自我成就感

讓一個剛剛接觸機器人的孩子單獨去搭建一個機器人是一件非常困難的事,他們需要反覆實踐,花大量的時間動手操作。在花了大半個上午時間,甚至1天、2天...搭建好了一個機器人,並且實現了預想的功能,孩子們就會特別幸喜,有成就感。在這種一次次成功實踐的過程中,孩子的自信心得到了極大的鍛鍊,而且這些成本是非常低廉的,簡單的一次作品,或是一次比賽。從小培養出來的這種成就感會讓他們充滿自信,對他們的人生髮展具有極其重要的意義。

更好的激發孩子興趣和學習能力

興趣是孩子最好的老師。孩子們會對他們所感興趣的東西樂此不疲,即便受挫很多次,他們都會努力做下去。機器人是一種綜合知識的實踐產物,每一個孩子對機器人基本上都是零牴觸心態。每一個孩子都有一顆對世界好奇的心態,他們對機器人這種科技產物充滿探索心態,希望這些機器產物帶給他們科技的力量與驚喜。學習機器人,正是孩子們所願意花時間去了解的,這可以極大地激發他們的興趣,保持好奇心,增強孩子們的學習能力。

主動思考與發現和解決問題的能力

當機器人走進我們的生活,我們似乎又回到了童年,對事物又有了不同的理解。讓我們來看個例子,假如要做一個機器人,首先要先有一個合理的構思,考慮到機器人如果遇到障礙物會是什麼反映?在道路顛簸時,會改變行走的路徑,這樣在設計時要保障它能夠前進和後退,靈活的改變方向。也可加一個簡單的緩衝器,使其碰到障礙物時自動停止。

最後,你要為機器人編寫出程序,在房間裡運行時,假如地毯的線不慎進入你的齒輪,使機器人不能正常運行。這時你需仔細檢查,作出處理來使它能夠恢復撞牆以後能夠自由的旋轉。為了防止由於緩衝器過高不容易發現障礙物,你可以將它安裝的低一些。在這期間,你可以用手觸動來改變機器人的運行方向。對你的程序添加部分內容,你會發現像登樓梯一樣的簡單。

團隊合作以及動手能力的培養

目前,機器人課程學習的價值的顯性體現是機器人的相關賽事。幾人一組的比賽是一個整體,孩子們想要取得勝利,首先彼此要學習用語言或非語言方式與隊友進行溝通和合作。通過比賽可以提高其語言表達的能力,想讓隊友更好地了解你的意圖,你就必須要有良好的語言表達能力。同時在彼此想法出現差錯時,彼此的溝通又是很重要的,大家必須一起協商、比較誰的方案好,或者綜合兩人的想法。這無論是現在或將來對孩子多很重要,學會與人溝通,團隊合作。

動手能力:光會講不會做同樣是不可取的。通過參加機器人課程可以提高她們的動手能力,哪個部件在什麼位置必須其親歷親為,這對於今天的孩子是很重要的。


樂高教育大揭秘

1、遊戲與玩相結合

孩子是天生的學者,但孩子們不願意被逼著去學太難或過於簡單的知識。在「玩」的過程中,孩子們探索、體會屬於他們的世界則會更容易掌握知識,無論是書本上的還是課本之外的。相信通過動手實踐孩子會有一種滿足感和自信心,即使失敗至少嘗試過。這樣她會更容易、渴望掌握書本上有的或課外的知識。而且相信她們會更容易記住這些知識。

2、更好的發揮自我的個性

孩子的個性可以從他們的日常行為觀察出來,也可以通過他們的作品呈現出來。機器人的搭建可以給孩子們無限的想像力,讓他們自由發揮。貝爾機器人使用的是樂高教具,為什麼選擇樂高呢?大家都知道,樂高的教育理念是:可以重複使用的積木。這些積木你可以搭建一個小人,你也可以搭建一棟摩天大樓,或者你還可以搭建一隻大象、一條魚、一隻老虎等等。當你打開樂高的積木盒,你會發現裡面有很多積木塊,並且有搭建手冊,你可以根據手冊的提示自己進行設計。用這些小的積木塊進行搭建模型時無須用膠水,螺絲釘,或其他的特殊的工具,只須用手就可以,因為這些積木具有連通性。而且積木之間連接的非常牢固,不管你怎樣用力,他們都不會被損壞。如何讓樂高實現它的模塊性,不單單是把一塊積木搭到另一塊上,是需要一定的思路。

3、從實踐中體會自我成就感

讓一個剛剛接觸機器人的孩子單獨去搭建一個機器人是一件非常困難的事,他們需要反覆實踐,花大量的時間動手操作。在花了大半個上午時間,甚至1天、2天。。。,搭建好了一個機器人,並且實現了預想的功能,孩子們就會特別幸喜,有成就感。在這種一次次成功實踐的過程中,孩子的自信心得到了極大的鍛鍊,而且這些成本是非常低廉的,簡單的一次作品,或是一次比賽。從小培養出來的這種成就感會讓他們充滿自信,對他們的人生髮展具有重要的意義。

4、更好的激發孩子興趣和學習能力

興趣是孩子最好的老師。孩子們會對他們所感興趣的東西樂此不疲,即便受挫很多次,他們都會努力做下去。機器人是一種綜合知識的實踐產物,每一個孩子對機器人基本上都是零牴觸心態。每一個孩子都有一顆對世界好奇的心態,他們對機器人這種科技產物充滿探索心態,希望這些機器產物帶給他們科技的力量與驚喜。學習機器人,正是孩子們所願意花時間去了解的,這可以極大地激發他們的興趣,保持好奇心,增強孩子們的學習能力。如果你留意孩子們的眼神,你會發現他們對周圍的一切事物都非常感興趣,並且都有自己獨到的見解。我們學習一般比較反對那些有個性的見解,通常認為那時十分可笑的,因為一般我們已經知道了事情如何做才是正確的,當機器人走進我們的生活,我們似乎又回到了童年,對事物又有了不同的理解。

5、知識和閱歷比同年齡階段的孩子更加豐富,

不僅僅是學到我們書本上以後要學的到得知識,還有生活中的,做個小小博學家。

6、團隊合作以及動手能力的培養

團隊合作:目前,機器人課程學習的價值的顯性體現是機器人的相關賽事。幾人一組的比賽是一個整體,孩子們想要取得勝利,首先彼此要學**用語言或非語言方式與隊友進行溝通和合作。通過比賽可以提高其語言表達的能力,想讓隊友更好地了解你的意圖,你就必須要有良好的語言表達能力。同時在彼此想法出現差錯時,彼此的溝通又是很重要的,大家必須一起協商、比較誰的方案好,或者綜合兩人的想法。這無論是現在或將來對孩子多很重要,學會與人溝通,團隊合作。

動手能力:光會講不會做同樣是不可取的。通過參加機器人課程可以提高她們的動手能力,哪個部件在什麼位置必須其親歷親為,這對於今天的孩子是很重要的。


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