中央研究院資訊科學研究所

中央研究院資訊科學研究所 演講消息、科普文章討論、資訊科學最新資訊、歡迎來至各界的英雄好漢參? Researchers of IIS collaborate with local industries and universities, as well as overseas institutions.

The Institute of Information Science (IIS) was formally established in September 1982 after a five-year preparation period, and is one of the eleven institutes and research centers within the Division of Mathematical and Physical Sciences. IIS presently has 40 full-time research fellows, 29 postdoctoral research fellows and over 300 full-time information technology specialists and part-time resear

ch assistants supporting research and development of information science and engineering. All members of IIS prescribe to the motto, "Every job is a self-portrait of those who did it; autograph your work with quality," emphasizing excellence and synergistic teamwork effort. The mission of IIS is to conduct quality fundamental research in information science, develop cutting edge technologies applicable to advanced information systems, and improve our national competitiveness in information technology, and international visibility. Being a member of the highest research institution in Taiwan, IIS is obligated to assuming the leadership role in the area of information science and engineering, and aims to establish itself as one of the first-class research institutions in the world. The institute has eight research labs: Bioinformatics Lab, Computer System Lab, Data Management and Information Discovery Lab, Multimedia Technologies Lab, Network System and Service Lab, Programming Languages and Formal Methods Lab and Computation Theory and Algorithms Lab.Current research areas include: bioinformatics, parallel and distributed computing, internet intelligent agents, document analysis and recognition, multimedia, computer vision and image processing, Chinese language and information processing, natural language understanding, computer communication and networking, web-based computing and eXtensible Markup Language technology, network and software security, formal verification, design and analysis of algorithms, cryptography, robotics. Research funding of IIS is primarily from the Academia Sinica, the National Science Council (NSC), Ministry of Education, Department of Health, and other government agencies, and some from the private sector. To find more information about IIS please consult our web page at http://www.iis.sinica.edu.tw

【學術演講】Toward Building a Foundation Model for Symbolic Music Understanding｜講　者：王鈞右 教授 (國立臺灣師範大學)｜邀請人：TIGP (SNHCC)｜時　間：202...
06/12/2025

【學術演講】Toward Building a Foundation Model for Symbolic Music Understanding

｜講　者：王鈞右 教授 (國立臺灣師範大學)
｜邀請人：TIGP (SNHCC)
｜時　間：2025-12-08 (Mon.) 14:00 ~ 16:00
｜地　點：資訊所新館106演講廳

Recently, there is a trend of building a foundation model for different modalities, ranging from text, image, to audio. In this talk, Dr. Wang will discuss his recent work on building a pre-trained model for symbolic music data (a type of representation that represents musical contents with music notations, e.g., music scores, MIDI files, etc.), along with the general idea, purpose, challenges, and possibilities of building a foundation model for symbolic music. Dr. Wang will also share his experiences as a Ph.D student and a researcher.

(Pic by ChatGPT)

【卓越演講2025-7】Intelligent Heuristics Are the Future of Computing｜講　者：講者滕尚華 教授 (School of Engineering, University of Southe...
04/12/2025

【卓越演講2025-7】Intelligent Heuristics Are the Future of Computing

｜講　者：講者滕尚華 教授 (School of Engineering, University of Southern California, USA)
｜邀請人：鐘楷閔
｜時　間：2025-12-05 (Fri.) 14:00 ~ 16:00
｜地　點：資訊所新館106演講廳

Back in 1988, game trees for chess were among the largest search structures in real-world computing. Because such trees are too large to evaluate exhaustively, chess programs must rely on heuristic strategic decisions based on partial information—making them a powerful case study for teaching AI search. In one of his lectures that year on AI search for games and puzzles, Professor Hans Berliner — a pioneer in computer chess — stated: “Intelligent heuristics are the future of computing.”

As a student of computing theory, I was naturally perplexed but fascinated by this perspective. I had been trained to believe that "algorithms and computational complexity theory are the foundation of computer science." And yet, my own journey to understand heuristics in computing has played a defining role in my career as a theoretical computer scientist. Over time, I’ve come to appreciate Berliner's statement as a far-reaching worldview—one that resonates even more in our current era of rich, complex, and multifaceted data and models, where computing interacts deeply with science, engineering, the humanities, and society.

In this talk, I will reflect on my experiences with heuristics in computing, highlighting examples of theoretical work aimed at understanding the behavior of heuristics on real data, as well as efforts to design practical heuristics with meaningful theoretical foundations. My hope is that these insights—drawn from techniques such as spectral partitioning, multilevel methods, the simplex method, and regularization for optimization and machine learning—can shed light on, and perhaps inspire, a deeper understanding of the current and future techniques in AI and data mining.

【學術演講】Robust RL and Beyond｜講　者：連云暄 教授 (中央研究院資訊科技創新研究中心)｜邀請人：TIGP (SNHCC)｜時　間：2025-12-01 (Mon.) 14:00 ~ 16:00｜地　點：資訊所新館10...
25/11/2025

【學術演講】Robust RL and Beyond

｜講　者：連云暄 教授 (中央研究院資訊科技創新研究中心)
｜邀請人：TIGP (SNHCC)
｜時　間：2025-12-01 (Mon.) 14:00 ~ 16:00
｜地　點：資訊所新館106演講廳

We aim to design reinforcement learning algorithms that balance theoretical soundness, safety, and adaptability, enabling trustworthy deployment across domains ranging from finance to home robotics. In this talk, we will introduce Offline RL and Cognitive RL methods that advance this goal.

(Pic by ChatGPT)

【學術演講】TIGP (SNHCC) --Exploring Holistic Human-Centered Empirical Methods: Case Studies in Multimodal Research｜講　者：卓牧融 教授...
19/11/2025

【學術演講】TIGP (SNHCC) --Exploring Holistic Human-Centered Empirical Methods: Case Studies in Multimodal Research

｜講　者：卓牧融 教授, 中央研究院人文社會科學研究中心
｜邀請人：TIGP (SNHCC)
｜時　間：2025-11-24 (Mon.) 14:00 ~ 16:00
｜地　點：資訊所新館106演講廳

The digitization of everyday life presents both challenges and opportunities for human-centered research. An increasing mismatch between theoretical constructs and their practical measures has prompted researchers to develop novel methods, permitting observations that were previously impossible. Among these new approaches, this talk focuses on Digital Trace Data (DTD) and its application in multimodal research. It will explore case studies in areas such as smartphone behavior, social media linkage analysis, and human-AI interaction. These cases illustrate how the research community is collectively building a comprehensive toolkit and methodological repertoire, laying the foundation for understanding the structure and "language" of human behavior.

(Pic by ChatGPT)

18/11/2025

【學術演講】Tree Evaluation and Simulating Time with Space

｜講　者：Tyler Besselman 先生 (上海紐約大學)
｜邀請人：鐘楷閔
｜時　間：2025-11-27 (Thu.) 13:30 ~ 13:30
｜地　點：資訊所新館106演講廳

In this talk, I will explore recent results surrounding a breakthrough advance in simulating time with space on multi-tape Turing machines as first shown in [Wil25]. I will introduce the Tree Evaluation problem [CMWBS10], show the naive algorithm, and then the improved algorithm put forth by Cook and Mertz [CM24] in O(log n loglog n) space. I will explain how Williams uses this algorithm to simulate a time t multi-tape Turing machine in O([]sqrt{ t log t }) space, and conclude by looking at the results of a recent paper by Shalunov [Sha25] that shows how to evaluate circuits of size s in O([]sqrt{ s log s }) space using the same improved Tree Evaluation algorithm.

【學術演講】Hardware Realization and Implementation Security Evaluation of HQC, A NIST PQC Standard (以英文演講)｜講　者：Sanjay Deshpan...
17/11/2025

【學術演講】Hardware Realization and Implementation Security Evaluation of HQC, A NIST PQC Standard (以英文演講)

｜講　者：Sanjay Deshpande 博士 (Northwestern University, U.S.A.)
｜邀請人：倪儒本
｜時　間：2025-11-20 (Thu.) 10:00 ~ 12:00
｜地　點：新館107會議室

Quantum computing is no longer a distant dream, its rapid progress is poised to revolutionize various fields. However, this leap forward comes with a critical caveat: the pre-quantum public-key cryptographic algorithms that secure our digital infrastructure today, such as RSA and ECC, are at risk of being broken. With the rise of quantum capabilities, everything from encryption keys to biometric data could become vulnerable to adversaries.
The race is on to transition to quantum-safe cryptography before quantum computers reach a critical threshold. At the heart of this global effort lies Post-Quantum Cryptography (PQC), the new generation of cryptographic algorithms believed to be both quantum and classically secure. Organizations like NIST are leading international efforts to standardize these algorithms.
This talk explores the challenges and innovations in transitioning to PQC, with a special focus on the role of hardware implementation and evaluation in ensuring both performance and security. It will take a deep dive into the Hamming Quasi-Cyclic (HQC) algorithm, one of the candidates selected for standardization by NIST in 2025, and examine how HQC performs under practical constraints and potential side-channel threats.
(Pic by ChatGPT)

【學術演講】TIGP (SNHCC) -- Teaching Machines to Speak Protein: AI for Therapeutic Peptide Discovery ｜講　者：陳...
12/11/2025

【學術演講】TIGP (SNHCC) -- Teaching Machines to Speak Protein: AI for Therapeutic Peptide Discovery

｜講　者：陳鯨太 教授, 臺北市立大學資訊科學系
｜邀請人：TIGP (SNHCC)
｜時　間：2025-11-17 (Mon.) 14:00 ~ 16:00
｜地　點：資訊所新館106演講廳

(Pic by ChatGPT)

07/11/2025

🎁 台南一日限定科普遊樂園，明天早上 9:00 正式開放！

11/8 中研院南部院區開放
一起開箱實驗室、聽演講、玩遊戲，補充腦袋，補充心靈～還有市集補充肚皮 🍙
📍 時間：11月8日（六） 9:00~16:00
📍 地點：中央研究院南部院區（台南市歸仁十三路一段100號）

✨出發前別忘了✨
🔹 收藏 ：活動地點、餐廳、洗手間、交通資訊一覽無遺，請見留言第一則。
🔹 高鐵台南站/台鐵沙崙站，接駁車每15分鐘一班
🔹 出門咒語：錢包鑰匙手機、 #陽傘帽子水壺

還想知道更多？請見活動官網「常見問題」（第一則留言🔗）
#明天台南見
#院區開放 #中研院南部院區

【院區開放講座｜以人工智慧技術尋找音樂的結構】音樂不只是旋律與節奏，背後還藏著讓人著迷的結構與邏輯。當人工智慧學會「聽懂音樂」，它又會發現什麼？📅 時間：2025年10月19日（日）10:10–10:40📍 地點：資科所新館106會議室👤 ...
18/10/2025

【院區開放講座｜以人工智慧技術尋找音樂的結構】

音樂不只是旋律與節奏，
背後還藏著讓人著迷的結構與邏輯。
當人工智慧學會「聽懂音樂」，
它又會發現什麼？

📅 時間：2025年10月19日（日）10:10–10:40
📍 地點：資科所新館106會議室
👤 講者：蘇 黎 博士（中研院資訊科學研究所）
📨 邀請單位：資訊科學研究所

🎯 講座亮點
✅️從AI視角探索音樂的結構與層次
✅️理解神經語言模型在音樂分析上的限制與潛能
✅️發現AI如何協助音樂生成與資料檢索

🎶 歡迎對人工智慧、音樂分析、聲音科技或多媒體應用有興趣的同仁與同學前來聆聽！

【院區開放講座｜以深度學習為基礎的動物行為分析系統】動物不會說話，但行為裡藏著疼痛與情緒的線索當人工智慧學會「觀察」老鼠，它能揭開哪些不為人知的生理變化？📅 時間：2025年10月19日（日）09:30–10:10📍 地點：資科所新館106...
17/10/2025

【院區開放講座｜以深度學習為基礎的動物行為分析系統】

動物不會說話，但行為裡藏著疼痛與情緒的線索
當人工智慧學會「觀察」老鼠，
它能揭開哪些不為人知的生理變化？

📅 時間：2025年10月19日（日）09:30–10:10
📍 地點：資科所新館106會議室
👤 講者：廖弘源 博士（中研院資訊科學研究所）
📨 邀請單位：資訊科學研究所

🎯 重點亮點：
✅️AI自動發現與慢性疼痛相關的行為特徵
✅️擺脫人工標註限制，提升辨識準確率至73.1%
✅️結合AI與行為觀察，讓研究人員更精準看見動物的變化

📢 歡迎對 AI、生醫影像、動物行為研究有興趣的同仁與同學前來聆聽！

【卓越演講】[DLS2025-4] The Future of Personalized Universal Assistant (以英文演講)｜講　者：紀懷新 博士 (Google DeepMind)｜邀請人：古倫維｜時　間：2025-0...
01/09/2025

【卓越演講】[DLS2025-4] The Future of Personalized Universal Assistant (以英文演講)

｜講　者：紀懷新 博士 (Google DeepMind)
｜邀請人：古倫維
｜時　間：2025-09-11 (Thu.) 10:00 ~ 12:00
｜地　點：資訊所新館106演講廳

We've moved way beyond the old days of building discovery, recommendation, decision support, and other AI tools using traditional ML and pattern recognition techniques. The future of universal personal assistance for discovery and learning is upon us. How will multimodality image, video, and audio understanding, and reasoning abilities of large foundation models change how we build these systems? I will shed some initial light on this topic by discussing 3 trends: First, the move to a single multimodal large model with reasoning abilities; Second, the fundamental research on personalization and user alignment; Third, the combination of System 1 and System 2 cognitive abilities into a single universal assistant.

https://www.iis.sinica.edu.tw/zh/page/Events/data/DJ250041.html
(Pic by ChatGPT)

【學術演講】TIGP (SNHCC) -- Beyond Code: Predicting and Adapting Programming Learning Through Personality Traits, Biosignals, ...
27/08/2025

【學術演講】TIGP (SNHCC) -- Beyond Code: Predicting and Adapting Programming Learning Through Personality Traits, Biosignals, and Behavioral Analytics

｜講　者：曾俊雄 教授 (元智大學電機工程學系)
｜邀請人：TIGP (SNHCC)
｜時　間：2025-09-01 (Mon.) 14:00 ~ 16:00
｜地　點：資訊所新館106演講廳

Understanding how personality influences learning is key to optimizing programming education. In this talk, I present a series of studies exploring how physiological signals, note-taking behaviors, and system operation patterns can be leveraged to assess personality traits and adapt instructional strategies accordingly. Using wearable sensors, we found significant correlations between heart rate variability, galvanic skin response, and Big Five personality traits—especially extraversion and conscientiousness. Further, by tailoring programming materials based on these traits, students demonstrated significantly greater learning gains. In a parallel study, we analyzed students’ note-taking and programming behaviors in a front-end development course and achieved over 89% classification accuracy in predicting conscientiousness and openness using a two-layer random forest model. These results reveal a promising direction toward objective, scalable, and adaptive programming education based on students' individual learning styles and personality traits.

https://www.iis.sinica.edu.tw/zh/page/Events/data/DJ250047.html
(Pic by ChatGPT)

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南港區研究院路二段128號資訊科學研究所
Taipei
115

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