關於 hardware advances ，我們在網路上蒐集到這些相關的討論、資訊與評價

(2019.4.22)#Talk Ultra-Low-Power Computing Hardware Design in the Era of AI and ML

#Welcome all to come ～～～

#Time
April 22, 2019 ( Monday 10:00AM—12:00PM )

#Venue
R108,1F Engineering Building 4, NCTU
交通大學工程四館一樓知新廳(108室)

#Speaker
Dr. Mingoo Seok / Associate Professor
Dept. of Electrical Engineering, Columbia University

#Host
Dr. Po-Hung Chen 陳柏宏/ Associate Professor
Institute of Electronics, NCTU

#Language
English

#Abstract
Computing technology has been the backbone of our society. Its importance is hard to overemphasize. Today, we again confirm its extreme importance with recent advances in artificial intelligence and deep learning. Those emerging workloads impose an unprecedented amount of arithmetic complexity and data access beyond our existing computing systems can barely handle. Across the computing systems from data centers, to mobile, and to extreme implants will face a major challenge in achieving desirable speed, energy-efficiency, and accuracy for truly enabling intelligent systems. In this seminar, we will outline the important bottlenecks to designing ultra-low-power computing hardware for AI and ML workloads, notably the end of Moore’s Law and the memory wall problem. We will then discuss several approaches that our group has been working on, including in-memory computing, hybrid analog-digital computing, and digital multi-core accelerator, and nanowatt DVS hardware. We will introduce several test-chip prototypes and their measurement results.
https://www.facebook.com/events/295641521103241/?ti=cl

The introduction of the deep Learning (DL) approach to machine learning has led to incredible developments in artificial intelligence (AI) over the past few years, attracting interests from cloud computing and semiconductor chip businesses. According to TrendForce’s latest research on AI, the three forces that drive advances in machine learning are software, hardware and data. AI systems based on DL requires vast amounts of data to train their abilities such as identifying objects and processing requests. Therefore quantity and quality of data directly affects AI systems’ accuracy. As cloud and software platform companies compete to bring AI solutions for different applications, ownership and access to data will become crucial to their strategies.

NCTU EE Next 50 Forum－Semiconductors: What’s Next?---Invite you all to register to join it !!!

Topic : Semiconductors: What’s Next?
Speaker : Dr. Aart De Geus
Synopsys Chairman and co-Chief Executive Officer
Time：Oct. 20, 2015 ( Tue., 13:30～15:00 PM) (Tea Time15:00 PM~)
Venue：Conference Hall, Basement 1st,
Engineering Building 4, National Chiao Tung University
交通大學工程四館合勤講堂(B1國際會議廳)
Registration deadline : Oct. 19, 2015
Please visit the Google sheet to register http://goo.gl/forms/A1ASUGk2XG

Summary
From Silicon to Software, two simultaneous and fundamental trends drive the future. On the one hand, a decade of silicon advances brings substantially more computation and a world of Internet of Things (IoT), based on low-power and low-cost silicon capabilities.
On the other hand, these advances are leveraged by a massive software push, ranging from software embedded in hardware to domain-specific application software. All of this is heading into a decade of smart everything that will change both the technology and the business model of all companies.

Bio
Since co-founding Synopsys in 1986, Dr. Aart de Geus has expanded Synopsys from a start-up synthesis enterprise to the world leader in electronic design automation. Dr. de Geus has long been considered one of the world’s leading experts on logic synthesis and simulation, and frequently keynotes major conferences in Electronics and Design Automation.Dr. de Geus is the recipient of numerous industry and community honors, including Electronic Business Magazine’s "CEO of the Year" (2002) and "Top 10 Most Influential Executives" (2005), the IEEE Robert N. Noyce Medal (2007), the Silicon Valley Leadership Group (SVLG) "Spirit of the Valley" Lifetime Achievement Award (2007), the GSA "Morris Chang Exemplary Leadership Award" (2009), and most recently, the 2013 Silicon Valley Engineering Council Hall of Fame Award. He is also heavily involved in education for the next generation, having created the Synopsys Outreach Foundation in 1999, which promotes project-based science and math learning throughout Silicon Valley.

主辦：國立交通大學 晶片系統研究中心、國立交通大學電子工程學系
協辦：教育部邁向頂尖大學計畫「前瞻奈米電子與系統研究中心
鑽石計畫「智慧型記憶體及晶片系統實驗室」
聯絡：交大電子系 Patty Chen 03-5712121#54107 patty@mail.nctu.edu.tw