活動資訊
活動資訊
Workshop on Future Computing (WFC)
活動網站
第三屆未來運算研討會（2022 Workshop on Future Computing, WFC）將於2022年12月15日至12月16日在未來館舉辦，由成大敏求智慧運算學院主辦。
成大敏求智慧運算學院自2019年舉辦第一屆WFC以來，除了2021年因疫情嚴峻而停辦之外，今年已邁入第三屆。前兩屆匯聚來自台灣、新加坡、日本、美國等世界各地學術界、工業界和公共部門專家，就運算架構、高性能和以記憶體為中心的運算、生醫/機器人等多元應用展開討論，並展望未來發展，探討層面涵蓋理論、方法、架構、系統、應用程式與社會影響。
成大敏求智慧運算學院自2019年舉辦第一屆WFC以來，除了2021年因疫情嚴峻而停辦之外，今年已邁入第三屆。前兩屆匯聚來自台灣、新加坡、日本、美國等世界各地學術界、工業界和公共部門專家，就運算架構、高性能和以記憶體為中心的運算、生醫/機器人等多元應用展開討論，並展望未來發展，探討層面涵蓋理論、方法、架構、系統、應用程式與社會影響。
Summer Summit
活動網站國立成功大學敏求智慧運算學院為培育具專業領域與運算專長，並擅長運用前瞻運算技術解決實際問題，以增進社會福祉之跨領域及創新人才，特啟動此共同研究計畫。
本活動為鼓勵國內外傑出學者帶領跨領域研究團隊與成大合作，於未來運算、智慧機器人和計算生醫領域持續深化擴展與運用研究能量。
活動花絮
近期活動
2023
01.11
Jan. 11 AI Master Lecture: Unsupervised, Adaptive, and Advisable Visual Learning
Professor Trevor Darrell is founding co-director of Berkeley Artificial Intelligence Research BAIR, Berkeley Deep Drive BDD, and BAIR Commons. He will give a talk in person about unsupervised, adaptive, and advisable visual learning.
2022
12.23
讓科技發揮人性的Problem-Solver 曾煜棋教授大師講座：A Day of a Robot and AI
敏求智慧運算學院很榮幸邀請到曾煜棋教授蒞臨成大演講，講題：A Day of a Robot and AI。他將會就robotic visual task, video action recognition, human motion prediction, thermal image synthesis, digital stand-in, WiFi fingerprinting, medical image inpainting, and continual learning等與機器人相關的研究領域分享最新研究發展。
2022
11.25
Computing Architecture大師講座：Dr. Tse-Yu Yeh - A Journey of an Architect from Software to Chip Design
In this talk, Dr. Yeh is going to share his experience from various stages of his career in big computer companies as well as start-up companies. He will talk about his school experience as a computer science undergraduate and a computer architecture graduate student. He will also talk about his professional career as an architect, a microarchitect, a verification lead, a manager of a high performance CPU team, and a VP of silicon engineering.
2022
11.18
AI x Future AI趨勢論壇：用創新驅動智慧與安全的未來生活
With the age of Big Data, AI/ML, and IoT technologies coming, people may feel more untrusted of the living environment with certain nervousness and anxiety when using smart devices in daily life. Based on years of industry experience in microcontroller applications, the speaker wants to share his personal experience with the PC/Notebook industry to IoT and future AI/ML enabled smart things, taking into account chip security and the functions required for the development of smart devices including edge and node boxes.
2022
11.15
Workshop on Future Computing with Quantum Bits
成大敏求智慧運算學院以「未來運算」為主軸，透過 workshop 方式讓全校師生更加認識「量子電腦 Quantum Computing」的領域。此次我們會以量子電腦的軟體計算為主軸。
2022
12.01
12/1 【AI x Future AI趨勢論壇】一眼看穿數據重點－資料視覺化與探索式統計分析
陳君厚所長將帶來「一眼看穿數據重點－資料視覺化與探索式統計分析」演講，介紹相關研究團隊多年來發展之矩陣視覺化環境—廣義相關圖 GAP: Generalized Association Plots。我們以矩陣視覺化來進行統計分析，包含敘述統計、建模、推論，以至於診斷；我們也將統計概念引進矩陣視覺化環境以處理更複雜之資料形態。GAP可以處理上萬個樣本在上萬個維度變數的各式資料與關係矩陣，包含連續、二元、有序、類別、象徵性 symbolic data、及與地圖學連結之各類資料。本演講將經由各種實例介紹GAP與各種資料視覺化工作環境。
2022
10.28
跨域系統整合大師講座：吳宗信主任–用頑固點燃「台灣的太空夢」
近年來全世界的太空產業發展蓬勃，自火箭回收、立方衛星崛起到近期的低軌衛星通訊、太空短期旅行等，太空領域產業將來前景無可限量。吳宗信主任將介紹台灣的太空發展歷程與未來挑戰。
2022
10.14
「領航網通科技，賦能人工智慧」大師講座-闕志克博士：How do computer science ideas contribute to energy storage management?
闕院長將介紹與可擴展儲能架構及管理之發展相關的技術挑戰，並描述如何將成熟的計算機系統管理技術應用於這些挑戰。
2022
10.05
Google x NCKU: AI Foresight Workshop
10/5 星期三 Google與成大合辦AI Foresight Workshop，一同探討AI與演算法、AI 運算的能源效率、下一世代AI-量子運算?等議題，Keynote講者為Google臺灣董事總經理馬大康博士，他將帶來「從科技趨勢看見台灣的機會 AI + 5G + AIOT + Cloud 下的台灣競爭力」專題演講。
2022
09.30
ABIOT大師講座：MiinStore Smart Training
MiinStore 是結合IoTtalk IoT big data, Quanta QOCA big data AI及Accton ECcloud的ABIoT平台AI, Big Data and IoT，旨在提供跨域訓練、研究與發展。這場演講，林一平教授將拆解其中奧秘，闡釋Miin Store如何進行AI、Big Data與IoT的人才訓練。
2022
09.14
智慧醫療大師講座：NIH Open Data Platforms for Precision Health Research
9/14 成大敏求智慧運算學院邀請到美國國家衛生研究院范揚政教授蒞臨演講，本場演講開放校外人士線上參與，歡迎報名。
范揚政教授目前帶領美國國家衛生研究院NIH 院內臨床資訊部門，以及神經異常暨中風研究中心NINDS IT及生物資訊部門，過去建置過多項IT系統和大型生醫資料庫，近期則協助啟動醫療AI資料庫建置計畫。
本次演講，范教授將以NIH Open Data Platforms for Precision Health Research為題與大家分享。
2022
08.26
讓數據動起來！資料視覺化大師-馬匡六教授講座 ："Machine Learning Enhanced Data Visualization"
Visualization has become an essential tool in many areas of study using a data-driven approach to problem solving and decision making. However, it can be computationally expensive and also take both novices and experts substantial effort to derive desired visualization results from data for exploration, analysis, or storytelling. Amid active research in new visualization designs, there is a growing interest and opportunity in applying machine learning ML to perform data transformation and to assist in the generation of visualization, aiming to strike a balance between cost and quality/interactivity. In this talk, I will first give a brief overview of my visualization work, and then I will use three of our projects to show how we leverage ML for better supporting common data visualization and analytics tasks.
2022
08.16
Image Alignment and Stitching
Image alignment and stitching have been widely applied in multimedia and computer
vision applications. The fundamental idea of image alignment and stitching is image
matching. By matching corresponding key points between two images, image
alignment can be achieved based on the transformation among key points. By aligning
two images, these two images can be stitched. To address this issue, I will introduce
invariant local descriptors for image matching.
2022
08.11
MiinStore: the Platform, the Applications and its Gigabit Image Transmission Environment
This talk describes MiinStore, an ABIoT platform AI, Big Data and IoT for cross-domain research and development. The basic structure of MiinStore include IoTtalk IoT+big data, Quanta QOCA big data+AI and Accton ECcloud with P4-switch transport network.
2022
08.05
作育全球科技英才 推動未來AI生活—黃正能教授講座 "Real World Image Recognition Challenges"
In this talk, Prof. Huang will start with reviewing recent advances on few-shot and
zero-shot image recognition tasks, then present our research works on long-tailed
recognition tasks, for both closed-set and open-set scenarios, which achieve SOTA
performance on most open-set long-tailed recognition OLTR benchmark datasets.
2022
08.03
Making the Invisible Visible: Toward High-Quality Deep THz Computational Imaging
In this talk, we will introduce the characteristics of THz imaging and its applications. We will also show how to break the limitations of THz imaging with the aid of complementary information between the THz amplitude and phase images sampled at prominent frequencies i.e., the water absorption profile of THz signal for THz image restoration. To this end, we propose a novel physics-guided deep neural network model, namely Subspace-Attention-guided Restoration Network SARNet, that fuses such multi-spectral features of THz images for effective restoration.
2022
07.27
Computing In-X for Supporting Big Data Applications
In this talk, Prof. Du will introduce several potential improvements, including non-volatile memory, active storage devices, and software-defined networks, in our current computing environment that may help us to face these challenges. In general, to solve these challenges we need to speed up both the data processing and accessing capabilities/performance as well as to increase the space capacities of memory and storage.
2022
07.20
Coordinated Exploitation of Big Visual Data Under 5G Era
In this talk, I will first present an automated and robust human/vehicle tracking directly in 3D space through self-calibration of static and moving monocular cameras. When the cameras fail to reliably achieve these tasks due to poor lighting or adverse weather conditions, a radio object detection and tracking framework to detect and track objects purely from radio signals captured by mmWave radars based on an innovative cross-modal supervision framework.
2022
07.14
AI x Future: IoT and German Energy Transition
In this presentation, Prof. Chen will first introduce the policies that have been enacted in Germany in response to the energy transition and the coexistence of conventional and renewable energy sources. Then, Prof. Chen will introduce the application of Internet of Things in renewable energy, and the important role of Internet of Things in regulating the electricity market. Then, Prof. Chen will also introduce the German electricity market. Through various trading mechanisms in the electricity market, the supply and demand of electricity are balanced and grid stability is ensured.
2022
07.13
Toward Developing Gigapixel Image Compression
In this talk, Prof. Huang will review image compression fundamentals, transforms, and standards. Prof. Huang will answer some questions and address important issues which need to be fully understood and kept in mind in developing new techniques on image compression.
2022
10.14
領航網通科技，賦能人工智慧—闕志克博士講座："How do computer science ideas contribute to energy storage management?"
闕院長將介紹與可擴展儲能架構及管理之發展相關的技術挑戰，並描述如何將成熟的計算機系統管理技術應用於這些挑戰。
2022
05.06
引領多媒體科技發展 開拓AI應用探索家—孫明廷教授講座： 「研究經驗 突破自我」
孫明廷教授是美國華盛頓大學著名的華人學者，為影像處理領域成果傑出的研究人才，在該領域佔有極重要的地位。孫明廷教授是美國華盛頓大學著名的華人學者，為影像處理領域成果傑出的研究人才，在該領域佔有極重要的地位。
2022
04.28
享譽全球人工智慧領域 台灣AI發展推手—孔祥重院士談"Don't Sell Your Youth Cheap: Become a Thinker and Think Long Term"
AI潮流席捲全球，因前人的努力，當前臺灣人才得以佔有一席之地。然而對於未來科技發展，我們的人才是否已經做好準備？透過此次演講，孔祥重院士精煉數十年經驗，與年輕學子分享長遠思考的重要性與方法，勉勵成大師生養成深度思考的習慣，培養超越十年的長期競爭力。
2022
04.22
Seminar: Learning without Labeling for Visual Applications
敏求智慧運算學院邀請華盛頓大學University of Washington電機系孫明廷教授於4/22假電機系令洋廳為成大師生專題演講 "Learning without Labeling for Visual Applications" ，歡迎影像處理領域之師生報名參加報名網址，本次講座僅開放50個名額，額滿為止，敬請提早報名。
2022
04.14
AI 趨勢跨域論壇II：Data-driven for fault detection and diagnosis
The development of information technology and process technology have been enhanced the rapid changes in high-tech products and smart manufacturing, specifications become more sophisticated. Large amount of sensors are installed to record equipment condition during the manufacturing process. In particular, the characteristics of sensor data are temporal. Most the existing approaches for time series classification are not applicable to adaptively extract the effective feature from a large number of sensor data, accurately detect the fault, and provide the assignable cause for fault diagnosis. This talk presents different methods for fault detection and diagnosis and also extends the topics related to prognostic and health management.
2022
03.18
AI 趨勢論壇 II：AI與智慧醫療
AI人工智慧是下世代不可或缺的重要科技發展，更是引領我國產業轉型的關鍵！智慧醫療為全球科技發展趨勢上最熱門的關鍵技術之一，其中發展最為成熟的是AI醫療影像技術，借助AI能快速輔助醫生判讀醫療影像，提供更佳的智慧醫療解決方案，大幅提高醫療品質及縮短檢查時間。此場AI x Future AI趨勢論壇將由馮文生主任帶來「AI與智慧醫療」論壇，談談未來醫療產業如何持續導入更多數位科技，為全球醫療產業掀開新一波數位轉型面貌。
2022
03.17
AI 趨勢跨域論壇：選擇權資金管理與量化策略建構
本研究基於資金管理概念，提出具固定停損或停利機制的選擇權賣方與價差交易策略，藉由停損機制對最大獲利及損失進行量化，降低產生超額虧損的風險。本研究透過傳統統計方法及隨機森林演算法對勝率進行估計，採用熱點圖對預測結果進行視覺化，同時考量勝率門檻及穩固
性擷取有利可圖的交易區間，並以混淆矩陣、Accuracy 及 Precision 等指標評估模型效能。實驗結果顯示,本研究建構之隨機森林預測模型對所提出交易策略擁有相當優秀的預測能力Precision 最高達 0.9,能夠有效達成資金管理及風險管理之目標。