直播預告|特文特大學教授講述認知物質化

原文地址：http://news.sciencenet.cn/htmlnews/2024/3/519513.shtm

直播時間：2024年3月22日（周五）20:00-21:30

直播平臺：

科學網APP

（科學網微博直播間鏈接）

科學網微博

科學網視頻號

北京時間2024年3月22日晚八點，iCANX Talks 第178期邀請到了特文特大學Wilfred G. van der Wiel教授進行分享！此外，埃因霍溫科技大學Yoeri van de Burgt，格羅寧根大學Herbert Jaeger，奈梅亨拉德堡德大學Alexander Ako Khajetoorians ，特文特大學HansHilgenkamp，北京大學張海霞等教授擔任嘉賓，特文特大學Christian Nijhuis教授擔任主持人。

這將是一場匯聚頂尖學者的盛會，共同探討前沿科技與學術挑戰！更多精彩，敬請期待！

【嘉賓介紹】

Wilfred G. van der Wiel

特文特大學

Materializing Cognition – Information Processing in Cognitive Matter

【Abstract】

Throughout history, man has exploited matter to carry out tasks well beyond his biological constraints. Starting from primitive tools with functionality solely derived from shape and structure, we have moved on to responsive matter that can change its properties upon external stimulus. The next step would be adaptive matter that can change its response depending on the environment. One of the grand scientific and intellectual challenges is to make matter that can actually learn. Such matter’s behavior would not only depend on the here and now, but also on its past. It would have memory, and ultimately autonomously interact with its environment and self-regulate its action. We may call such matter ‘cognitive’ or even ‘intelligent’.

Here, we summarize our progress towards realizing such cognitive matter, making use of ‘material learning’ in disordered nanomaterial systems. By exploiting the intrinsic complexity of networks of nanoparticles or dopant sites, we realize computing primitives that can be tuned in situ to carry out tasks such as image classification or speech recognition. We argue that computing machines ‘made out of whatever physics offers’ have the potential to be extremely versatile and efficient, especially for tasks where cognitive properties such as adaptation and learning are crucial.

縱觀歷史，人類一直在利用物質來完成遠遠超出其生理限制的任務。從功能完全來自形狀和結構的原始工具開始，我們已經發展到能夠在外部刺激下改變自身特性的反應物質。下一步將是適應性物質，它可以根據環境改變自己的反應。科學和智力方面的一大挑戰是制造出能夠真正學習的物質。這種物質的行為不僅取決于此時此地，還取決于它的過去，它將擁有記憶，并最終自主與環境互動，自我調節其行為。我們可以稱這種物質為“認知物質"或者可以說是"智能物質”。

在此，我們總結了利用無序納米材料系統中的 "材料學習 "實現這種認知物質的進展。通過利用納米粒子或摻雜位點網絡的內在復雜性，我們實現了可就地調整的計算基元，以執行圖像分類或語音識別等任務。我們認為：“用物理學提供的任何材料制造”的計算機器都有可能具有極高的通用性和效率，特別是在適應和學習等認知特性至關重要的任務中。

【BIOGRAPHY】

Wilfred G. van der Wiel (Gouda, 1975) is full professor of Nanoelectronics and director of the BRAINS Center for Brain-Inspired Nano Systems at the University of Twente, The Netherlands. He holds a second professorship at the Institute of Physics of the University of Münster, Germany. His research focuses on unconventional electronics for efficient information processing. Van der Wiel is a pioneer in ‘material learning’ at the nanoscale, realizing computational functionality and artificial intelligence in ‘designless’ nanomaterial substrates through principles analogous to machine learning. He is author of more than 125 journal articles receiving over 10,000 citations.