Åpplied-Science & Matrixial-Analog Computing Lab


      ~ The-Å (Åtronic)-Team makes world different  ~

ASMC Lab: 工程三館 209

ASMC's Computing Nest: 資電館 717

Toward the Apex of Hypercomputation

Can machines think?  

“Can machines think? Alan Turing proposed such an amazing question to all over the world when in that era (~1942) televisions were not even popular. Without doubt, human civilization has been moving towards the era of rapid development of "artificial intelligence" because of his cleaver insight; afterward, Turing proposed the idea of "​​Turing Machine" and "Turing Test", also establish an appropriate foundation for the development of the modern artificial intelligence technology...

“Can machines think? 當艾倫 圖靈 (Alan Turing) 在那個連電視機都還不普及的年代,向世界拋出如此舉世震驚的問題時,人類文明就注定會走向”人工智慧”高速發展的時代;隨後Turing提出的圖靈機(Turing machine)與圖靈測試(Turing test)的想法,也為現今各式各樣的人工智能發展奠下良好的基礎... 

How to make it?

Hardware-System Implementation!

Since silicon based technology is facing the phase of end of Moore's law, finding a new ground is the inevitable way to keep the chip-scaling journey going farther. In order to break through the limitations of Moore's law, various two-dimensional (2D) materials, e.g. graphene/2D semiconductors, have attracted attentions of scientists who are dedicated to integration circuits and attempt to achieving ultra-high density of  transistors on a limited wafer area to improve the electronics performance. Without a doubt, the idea coming up with ​​vertical electronic components stack is inevitable. As the result, 2D material with atomically thin nature is considered as the best way for 3D-stacking to meet the demands for monolithic three-dimensional integrated circuits (3D-ICs).

為了突破摩爾定律 (Moore’s law) 的限制,以石墨烯為起始的各式二維材料逐漸受到科學家們的關注,而想在有限的晶片面積上製造更多的電子元件以提升晶片的效能,將電子元件向上堆疊的想法油然而生,所以二維材料厚度幾乎為零的特點,儼然成為想將元件向上堆疊製作更精密複雜、效能更強的三維積體電路 (3D-ICs) 的最佳人選...

Main Researches of The-Å-Team

Atomically Thin Layered Materials:

Where 3D meets 2D

Unity comes strength :  

Monolithic 3D-ICs will meet all demands for cutting-edge computations

Ultra-Sensitive Bio-Chips


2D-based  Bio-electronics bring the Far-Out Performance

You have to know the stories of three scientists before you get involved in this new field...

What we've done

What has your club done that you're proud of? Share a few highlights below. You can embed a video, document, or presentation to summarize the work.

 

Finding the Missing Memistor - R. Stanley Williams


Heroes of Deep Learning: Andrew Ng interviews Yann LeCun

2022 by Jesse Yeh