這聽起來是前端科技，其實並不是。
這是日本最先進2017年底，最新發布的成果，距離已經過了7年:
可以注意到科學家已經可以提取腦子中的資料。
但是以最下面三件物品來看，目前提取的內容是有瑕疵的，三個分開的東西，提取大腦資料卻變成一件較寬的物品。
而最近經過AI辨識，可以高效率讀取腦中畫面的畫面，但是

<div class="draft-block draft--p left">這聽起來是前端科技，其實並不是。</div>
<div class="draft-block draft--p left">這是日本最先進2017年底，最新發布的成果，距離已經過了7年:</div>
<div class="draft--imgNormal draft-block"><div><div style="height:794px" class="image-block-prerender" data-src="https://images.vocus.cc/218952ee-1a6a-484b-a7bd-106c382eea01.webp" data-width="794" data-height="785" data-position="center"></div><figcaption class="imageCaption draft-block" style="cursor:text;display:block"></figcaption></div></div>
<div class="draft-block draft--p left">可以注意到科學家已經可以提取腦子中的資料，可以注意到畫面的還原清晰度不高，尤其是下方的三個教堂窗戶，看起來是一體的。</div>
<div class="draft-block draft--p left">而最近經過AI辨識，可以高效率讀取腦中畫面的畫面，但是可能不是最直接的畫面: 如下圖</div>
<div class="draft--imgNormal draft-block"><div><div style="height:706px" class="image-block-prerender" data-src="https://images.vocus.cc/47894064-7e92-49fe-950a-f0ed01d1ad46.png" data-width="706" data-height="405" data-position="center"></div><figcaption class="imageCaption draft-block" style="cursor:text;display:block">經過AI學習，得以判斷人腦正在想甚麼，正確率84% [1]</figcaption></div></div>
<div class="draft-block draft--p left">也許會有人提問</div>
<div class="draft-block draft--p left">第一種方法和第二種方法哪裡不一樣。</div>
<div class="draft-block draft--p left">第一種方式是直接還原腦中畫面，當然也用到AI。不過第二種就真的是用AI圖片，最後產出的圖片也是其中的圖片。</div>
<div class="draft-block draft--p left">第二種方式用AI判斷腦子看到什麼，再用圖片資料庫中最接近的圖片輸出。例如看到長頸鹿，經過分析後，從圖片資料庫選出長頸鹿的圖片。</div>
<div class="draft-block draft--p left">如果時間充裕，也許以後可以聊一下AI學習的過程，若有那個餘裕...</div>
<div class="draft-block draft--p left">謝謝給我很多愛心的讀者。</div>
<div class="draft-block draft--p left">[1] https://tw.news.yahoo.com/%E9%80%8F%E9%81%8E-%E8%A7%A3%E7%A2%BC-%E8%85%A6%E6%B3%A2-%E6%97%A5%E6%9C%AC%E5%9C%98%E9%9A%8A%E7%9A%84-ai-230000253.html</div>
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學習

這聽起來是前端科技，其實並不是。

這是日本最先進2017年底，最新發布的成果，距離已經過了7年:

可以注意到科學家已經可以提取腦子中的資料，可以注意到畫面的還原清晰度不高，尤其是下方的三個教堂窗戶，看起來是一體的。

而最近經過AI辨識，可以高效率讀取腦中畫面的畫面，但是可能不是最直接的畫面: 如下圖

經過AI學習，得以判斷人腦正在想甚麼，正確率84% [1]

第一種方法和第二種方法哪裡不一樣。

第一種方式是直接還原腦中畫面，當然也用到AI。不過第二種就真的是用AI圖片，最後產出的圖片也是其中的圖片。

第二種方式用AI判斷腦子看到什麼，再用圖片資料庫中最接近的圖片輸出。例如看到長頸鹿，經過分析後，從圖片資料庫選出長頸鹿的圖片。

如果時間充裕，也許以後可以聊一下AI學習的過程，若有那個餘裕...

[1] https://tw.news.yahoo.com/%E9%80%8F%E9%81%8E-%E8%A7%A3%E7%A2%BC-%E8%85%A6%E6%B3%A2-%E6%97%A5%E6%9C%AC%E5%9C%98%E9%9A%8A%E7%9A%84-ai-230000253.html

<div class="draft-block draft--p left">這聽起來是前端科技，其實並不是。</div>
<div class="draft-block draft--p left">這是日本最先進2017年底，最新發布的成果，距離已經過了7年:</div>
<div class="draft--imgNormal draft-block"><div><div style="height:794px" class="image-block-prerender" data-src="https://images.vocus.cc/218952ee-1a6a-484b-a7bd-106c382eea01.webp" data-width="794" data-height="785" data-position="center"></div><figcaption class="imageCaption draft-block" style="cursor:text;display:block"></figcaption></div></div>
<div class="draft-block draft--p left">可以注意到科學家已經可以提取腦子中的資料。</div>
<div class="draft-block draft--p left">但是以最下面三件物品來看，目前提取的內容是有瑕疵的，三個分開的東西，提取大腦資料卻變成一件較寬的物品。</div>
<div class="draft-block draft--p left">而最近經過AI辨識，可以高效率讀取腦中畫面的畫面，但是可能不是最直接的畫面: 如下圖</div>
<div class="draft--imgNormal draft-block"><div><div style="height:706px" class="image-block-prerender" data-src="https://images.vocus.cc/47894064-7e92-49fe-950a-f0ed01d1ad46.png" data-width="706" data-height="405" data-position="center"></div><figcaption class="imageCaption draft-block" style="cursor:text;display:block">經過AI學習，得以判斷人腦正在想甚麼，正確率84% [1]</figcaption></div></div>
<div class="draft-block draft--p left">也許會有人提問</div>
<div class="draft-block draft--p left">第一種方法和第二種方法哪裡不一樣。</div>
<div class="draft-block draft--p left">第一種方式是直接還原腦中畫面，當然也用到AI。不過第二種就真的是用AI圖片，最後產出的圖片也是其中的圖片。</div>
<div class="draft-block draft--p left">如果時間充裕，也許以後可以聊一下AI學習的過程，若有那個餘裕，我會特別開一個專題系列。</div>
<div class="draft-block draft--p left">希望我能作到，也需要讀者的贊助費用，我可以從應用面到數學理論面提供一套完整的教學內容。</div>
<div class="draft-block draft--p left">謝謝給我很多愛心的讀者。</div>
<div class="draft-block draft--p left">[1] https://tw.news.yahoo.com/%E9%80%8F%E9%81%8E-%E8%A7%A3%E7%A2%BC-%E8%85%A6%E6%B3%A2-%E6%97%A5%E6%9C%AC%E5%9C%98%E9%9A%8A%E7%9A%84-ai-230000253.html</div>
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蘆葦的沙龍

讀取腦中所想畫面?

根據5/25日焦點新聞：美國德州奧斯汀大學團隊，結合腦部磁振造影、AI與ChatGPT訓練模型，已經能夠初步「讀腦」，把人腦中所想的事情翻譯成文字。

黑色鬱金香的沙龍

窺你所想想你所窺！AI讀腦術能怎麼運用？

早前嘗試以“美麗的澳門”生成一幅插畫時，得出圖中這個有趣的結果，於是就想到這種新科技的主要局限，寫了這篇小文章。

寂然的沙龍

關於AI及其不滿

感覺這個世紀，什麼東西都是要用電腦計算機來研究了。
心理活動是人腦對資訊進行算法的結果；認知升級，就是演算法升級。
我閱讀認知科學的過程，感受到它讓我用一種全新的角度，來看待「人的主觀世界」。
我們的心智是否就是一個從輸入到輸出的機器呢？
我們學習各種新知，是否就是在安裝演算法呢？

王啟樺的沙龍

【認知升級，讓你事半功倍的3個問題與發現】

這也是一種認知偏誤，有用的文字資訊在你眼前冗長排列，搞不好是你的致富密碼，但你的大腦逃避不想看，看了在三天後也已經忘掉90%。但如果有人精心設計圖表，那你就有可能還記得65%。這叫做「圖片優勢效應」(picture superiority effect)。

陳豐偉的沙龍

大腦喜歡看圖，不喜歡看文章？AI時代，文章配圖表才能吸睛

曾幾何時，我們因為現實，摒棄了想像的能力。
AI 是否重新幫我們找回來？

Fred Lai的沙龍

AI 輔助繪圖 - 浪潮。測試。

帶你進入大腦的世界，更瞭解自己也更瞭解人類的行為。在疫情期間的苦悶下，來點知識和能量的補給吧！

仨仁 無菜單書店的沙龍

書評｜《腦科專家教你從大腦看透人心》

大家好我是菜編，因為科技的進步，研究方法也不斷推陳出新，強大的電腦分析能力更是扮演了舉足輕重的地位，很多時候在分析前需要給電腦一個基準，這就牽涉到事前數位標準模型的建立，畢竟總不能叫電腦讀紙本吧？

陳政佑的沙龍

【Journal Club 筆記】就。很。酷。虛擬成年斑馬魚腦袋一探究竟

國際

職場產業

藉由回顧黑澤明隨著時間拍攝的一部又一部電影，同時也述說著黑澤明本人的故事，並且對於電影的情節架構進行分析理解。

閱讀書評

<div class="draft-block draft--p left">有句話叫「知人知面不知心」，我想「窺心術」應該相反：不知人，不知面，卻知其心😎</div>

不上進的我與上進的AI

主要為西洋歌曲翻譯評析與推薦，年代不是界限，曲風可以多變。暫時忘記世俗，徜徉在旋律的空間，沉浸在詞曲的感動，帶給你成長的人生好歌。

音樂藝文

文化生活

自我成長

次原子想法

投資理財

健康與情感

陳豐偉編譯社

【陳豐偉編譯社】的內容會幫助你瞭解自己、瞭解你的伴侶、家人、親友、同事，讓你更能分析為什麼某些人就是會有這樣的行為模式。無論是人際關係、職場用人或危機處理，以及給予你的親友好的建議，從這裡得到的知識，或許有一天會派上用場。

創作

Creative Jammers

共享、跨界、創意、筆記工具、平面設計、空間設計、室內裝修...等專題。關注 Heptabase, Obsidian, Rhino... etc. 
🌐 Youtube channel: https://hi.switchy.io/creative-jammers




雙週更書評

菜鳥的實驗室日記

寶可夢可能是許多人的兒時回憶，但它不僅是一部卡通，裡面其實蘊含相當多的生物知識，讓我們一起從演化生物學、生態學、發育學、比較解剖學……，一起從頭到腳認識寶可夢，成為寶可夢大師吧！

大腦逆向工程來啦！腦影像的次元刀「神經獵犬」（NeuroRetriever），將腦細胞從複雜無比的大腦影像中一個個「切」出來，再重組為完整的大腦網路！

電影戲劇

超中二物理宅的科學雜記

以中二魂介紹最新的科學與科技發展，幫你讀剛出爐的最新學術期刊論文，若宅味過重敬請原諒！

超中二物理宅的沙龍

第271話：大腦逆向工程

著名的物理學家Michio Kaku提到，現今已有科學家能透過fMRI紀錄跟AI、重現人們的視覺畫面，未來將能用此種技術，紀錄跟重播我們的夢境。



觀點

夢牛的沙龍

夢境投影機可能實現嗎？未來的人腦解譯機

剖析黑澤明

閒聊電影與影集

<p class="lexical__paragraph" style="text-align: left;"><span style="white-space: pre-wrap;">這聽起來是前端科技，其實並不是。</span></p><p class="lexical__paragraph" style="text-align: left;"><span style="white-space: pre-wrap;">這是日本最先進2017年底，最新發布的成果，距離已經過了7年:</span></p><div class="lexical__image center"><div class="lexical__imageWrapper"><img src="https://resize-image.vocus.cc/resize?norotation=true&amp;quality=80&amp;url=https%3A%2F%2Fimages.vocus.cc%2F218952ee-1a6a-484b-a7bd-106c382eea01.webp&amp;width=740&amp;sign=pzbECxpasYnu931bCQyAlW0t53PK2BfoFFAf0ZRmhHA" data-src="https://resize-image.vocus.cc/resize?norotation=true&amp;quality=80&amp;url=https%3A%2F%2Fimages.vocus.cc%2F218952ee-1a6a-484b-a7bd-106c382eea01.webp&amp;width=740&amp;sign=pzbECxpasYnu931bCQyAlW0t53PK2BfoFFAf0ZRmhHA" data-loaded="true" data-original-src="https://images.vocus.cc/218952ee-1a6a-484b-a7bd-106c382eea01.webp" data-lowquality="false" data-width="undefined" data-height="undefined" data-retry="0" onerror="Number(this.dataset.retry) > 4 ? this.src='/static/default-error-img.svg': (() => {this.src=this.dataset.originalSrc; this.dataset.retry = Number(this.dataset.retry)+1;})()" alt="raw-image"></div><div></div></div><p class="lexical__paragraph" style="text-align: left;"><div class="ad-placeholder" style="min-height: 124px;"></div><span style="white-space: pre-wrap;">可以注意到科學家已經可以提取腦子中的資料，可以注意到畫面的還原清晰度不高，尤其是下方的三個教堂窗戶，看起來是一體的。</span></p><p class="lexical__paragraph" style="text-align: left;"><span style="white-space: pre-wrap;">而最近經過AI辨識，可以高效率讀取腦中畫面的畫面，但是可能不是最直接的畫面: 如下圖</span></p><div class="lexical__image center"><div class="lexical__imageWrapper"><img src="https://resize-image.vocus.cc/resize?compression=6&amp;norotation=true&amp;url=https%3A%2F%2Fimages.vocus.cc%2F47894064-7e92-49fe-950a-f0ed01d1ad46.png&amp;width=740&amp;sign=6Ya03HcTVpjl4NOm9tbzA8ELo9onLf4u--bEIEFmr30" data-src="https://resize-image.vocus.cc/resize?compression=6&amp;norotation=true&amp;url=https%3A%2F%2Fimages.vocus.cc%2F47894064-7e92-49fe-950a-f0ed01d1ad46.png&amp;width=740&amp;sign=6Ya03HcTVpjl4NOm9tbzA8ELo9onLf4u--bEIEFmr30" data-loaded="true" data-original-src="https://images.vocus.cc/47894064-7e92-49fe-950a-f0ed01d1ad46.png" data-lowquality="false" data-width="undefined" data-height="undefined" data-retry="0" onerror="Number(this.dataset.retry) > 4 ? this.src='/static/default-error-img.svg': (() => {this.src=this.dataset.originalSrc; this.dataset.retry = Number(this.dataset.retry)+1;})()" alt="經過AI學習，得以判斷人腦正在想甚麼，正確率84% [1]"></div><div class="captionTheme__wrapper"><p class="captionTheme__paragraph">經過AI學習，得以判斷人腦正在想甚麼，正確率84% [1]</p></div></div><p class="lexical__paragraph" style="text-align: left;"><span style="white-space: pre-wrap;">也許會有人提問</span></p><p class="lexical__paragraph" style="text-align: left;"><span style="white-space: pre-wrap;">第一種方法和第二種方法哪裡不一樣。</span></p><p class="lexical__paragraph" style="text-align: left;"><span style="white-space: pre-wrap;">第一種方式是直接還原腦中畫面，當然也用到AI。不過第二種就真的是用AI圖片，最後產出的圖片也是其中的圖片。</span></p><p class="lexical__paragraph" style="text-align: left;"><span style="white-space: pre-wrap;">第二種方式用AI判斷腦子看到什麼，再用圖片資料庫中最接近的圖片輸出。例如看到長頸鹿，經過分析後，從圖片資料庫選出長頸鹿的圖片。</span></p><p class="lexical__paragraph" style="text-align: left;"><span style="white-space: pre-wrap;">如果時間充裕，也許以後可以聊一下AI學習的過程，若有那個餘裕...</span></p><p class="lexical__paragraph" style="text-align: left;"><span style="white-space: pre-wrap;">謝謝給我很多愛心的讀者。</span></p><p class="lexical__paragraph" style="text-align: left;"><span style="white-space: pre-wrap;">[1] https://tw.news.yahoo.com/%E9%80%8F%E9%81%8E-%E8%A7%A3%E7%A2%BC-%E8%85%A6%E6%B3%A2-%E6%97%A5%E6%9C%AC%E5%9C%98%E9%9A%8A%E7%9A%84-ai-230000253.html</span></p><p class="lexical__paragraph" style="text-align: left;"><br></p><p class="lexical__paragraph" style="text-align: left;"><br></p><p class="lexical__paragraph" style="text-align: left;"><br></p><p class="lexical__paragraph" style="text-align: left;"><br></p><p class="lexical__paragraph" style="text-align: left;"><br></p><p class="lexical__paragraph" style="text-align: left;"><br></p><p class="lexical__paragraph" style="text-align: left;"><br></p><p class="lexical__paragraph" style="text-align: left;"><br></p>

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One of the great questions in all of science is where consciousness comes from. When it comes to consciousness, Kaku believes different species have different levels of consciousness, based on their feedback loops needed to survive in space, society, and time. According to the theoretical physicist, human beings' ability to use past experiences, memories, to predict the future makes us distinct among animals — and even robots (they're currently unable to understand, or operate within, a social hierarchy).
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MICHIO KAKU:

Dr. Michio Kaku is the co-founder of string field theory, and is one of the most widely recognized scientists in the world today. He has written 4 New York Times Best Sellers, is the science correspondent for CBS This Morning and has hosted numerous science specials for BBC-TV, the Discovery/Science Channel. His radio show broadcasts to 100 radio stations every week. Dr. Kaku holds the Henry Semat Chair and Professorship in theoretical physics at the City College of New York (CUNY), where he has taught for over 25 years. He has also been a visiting professor at the Institute for Advanced Study at Princeton, as well as New York University (NYU).
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TRANSCRIPT:

MICHIO KAKU: In the entire universe, there are two great unsolved problems. The two greatest problems in all of science, first of all, is about the very big. It's about the origin of the universe. Why did it bang? Why do we have an expanding universe? And I personally work on something called the multiverse, which we think is the dominant source of theories that gives us the universe before creation itself-- the multiverse. But there is also the mystery of inner space, not outer space. 

And that's the human mind. Where does consciousness come from? And I think that in my book, The Future of the Mind, I try to make a stab at what is consciousness? First of all, let me explain my theory. I have my own theory of consciousness. I think consciousness is the sum total of all feedback loops necessary to create a model of yourself in space, in society, and in time. Now, I'm a physicist. We like to measure things and quantify things. I think there is a unit of consciousness. If consciousness is a sum total of all feedback loops necessary to create a picture of yourself in space, in society, and in time, then the unit of consciousness is a thermostat. 

A thermostat has one unit of consciousness, because it has one feedback loop-- measures temperature. Now, a plant has maybe five units of consciousness, because plants have to regulate temperature. They have to regulate humidity, the direction of gravity, when to sprout. So there are maybe five or so feedback loops in a plant. Then we go to alligators. The alligators are masters of the back part of the brain. And then you have maybe several hundred feedback loops that govern space. That's what alligators are very good at. 

Their brain, if you look at the parts of the back of the brain, we, too, have the reptilian brain that governs our understanding of space, where we are in space. And then, going forward in time, evolution gave us the monkey brain, the center of the brain, the limbic system. And the limbic system, in turn, governs society. It governs where we are with respect to our elders, our children, other human beings. Pack mentality, wolves, all of them have a developed central part of the brain, the monkey brain. And then the front part of the brain is what distinguishes us from the animals. It is the temporal brain that constantly simulates the future. 

Animals don't do that. In fact, animals don't even have much of a memory. When you look at a brain scan of what is the brain doing when it's thinking, thinking hard? What is the brain doing? You find out that the prefrontal cortex is active, and it is accessing memories of the past. You see, animals don't do that. Animals have not much of a memory. They don't see the future, because there's no necessity to see the future. There's no necessity to have much of a memory. In fact, the purpose of memory could be to simulate the future. Animals don't need it. 

Why didn't the dinosaurs become intelligent? Well, they didn't need to become intelligent, because we humans sometimes overexaggerate the importance of intelligence. Intelligence is not necessary to live in the forest, but we are maladapted to live in the forest. We don't run very fast. We can't fly. Our skin...

For the full transcript, check out https://bigthink.com/videos/what-is-consciousness-michio-kaku

Michio Kaku on Reading Minds, Recording Dreams, and Brain Imaging | Big Think

Can psychologists read dreams? Watch Marvin Chun's fascinating talk to find out more.

Marvin Chun is a cognitive neuroscientist with research interests in visual attention, memory. and perception. His lab employs neuroimaging (fMRI) and behavioral techniques to study how people perceive and remember visual information. His work in visual attention explores why people can consciously perceive only a small portion of all of the sensory information coming through the eyes. The lab’s research on memory investigates the neuronal correlates of memory encoding and retrieval. What are the fMRI signatures of memory traces in the brain? Much of his work on the interactions between memory and attention has centered on the role of context and associative learning. Finally, our work in perception examines the fundamental question of how the brain discriminates objects to make quick, efficient perceptual decisions.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx