Mr. Barry Lam, the founder and CEO of Quanta Group, is a guiding figure in the IT industry. With a master's degree in Electrical Engineering from National Taiwan University, he has stood at the forefront of technological waves for decades, leading industry transformation.

From the 1980s to the 1990s, Mr. Lam steered Quanta's focus towards computer hardware technology, engaging in in-depth research and innovation. As cloud technology emerged in the mid-2000s, the company innovatively developed hardware and software solutions, continuously exploring new territories. In recent years, his vision extended to artificial intelligence (AI), 5G technology, and next-gen metaverse computing platforms, actively driving advancements in smart manufacturing, transportation, healthcare, and other emerging fields, thereby promoting a new wave of digital transformation for businesses.

Beyond excelling in the business domain, Mr. Lam founded the Quanta Culture and Education Foundation, championing the idea of cultural enrichment for all. Through the""Immersed in Creativity""project, he introduced art to campuses, seamlessly integrating art education into students'daily lives. Simultaneously, the foundation's""Immersed in AI""project deeply engages with education in preparation for Taiwan's embrace of the AI era, injecting new vitality. These efforts underscore his sense of social responsibility and dedication to education.

Dr. Ted Chang is a highly accomplished Chief Technology Officer, Vice President and General Manager of Quanta Computer, which is the world’s largest computer ODM and laptop computer maker. He has more than 20 years of experience in leading global corporations and has been instrumental in driving corporate technology strategy and global research partnership. In addition, Dr. Chang is responsible for overseeing the Quanta Research Institute (QRI) for advanced research and BU12, a business unit dedicated to integration of AI, IoT and cloud computing as a platform solution for smart transformation of Heathcare, Medicine and Agriculture.

Dr. Chang has been appointed as representatives of Taiwan for APEC Business Advisory Council (ABAC) since 2019. Academically, Dr. Chang holds various guest professorships in the EECS colleges of National Taiwan University (NTU), National Cheng-Kung University (NCKU), Asia University (AU) and the AI college of National Yang-Ming Chao-Tung University (NYCU). He serves as a member of the board for several educational and research foundations, including the Epoch Foundation, Spring Foundation, Quanta Culture and Education Foundation (QCEF), Chinese Medical Advancement Foundation, and Ming Dao Culture and Education Foundation.

Among many honors, Dr. Chang recently received the Japan Good Design Best 100 award in 2022, five REDDOT Design Awards on Smart Medicine (2021 and 2022), and IF Design Award on Smart Agriculture in 2021. He was also awarded distinguished alumni awards from both NCKU and Chia-Yi High School in 2021. He led the Quanta-NCTU Joint AI Center to win the CES Innovation Award and WITSA in 2020 Award. He was the chief advisor to the Taiwan Pavilion “Swingphony” at London Design Biennale 2020.

Dr. Chang is a prolific inventor with over 220 patents granted globally by Oct. 2022. His invention in 2001, ""A Network Object Delivery System for Personal Computing Device,"" defined the ""Application Module Store."" Dr. Chang joined Quanta in 2000, promoted as VP in 2009 and promoted as the first CTO in Quanta history in 2010. Since 2004, Dr. Chang has led the strategic research collaboration on future computing with MIT Computer Science and Artificial Lab (CSAIL) to support the transformation of Quanta. The partnership started with TParty project on Human Centric Computing, Qmulus Project on Cloud Computing and now on AIM project with focus on AI medicine and computational health. Dr. Chang's past projects, One Laptop Per Child (OLPC) and the QRI research model, were published as business cases by Harvard Business School.

Ed H. Chi is a Distinguished Scientist at Google DeepMind, leading machine learning research teams working on large language models (LaMDA/Bard), neural recommendations, and reliable machine learning. With 39 patents and ~200 research articles, he is also known for research on user behavior in web and social media. As the Research Platform Lead, he helped launched Bard, a conversational AI experiment, and delivered significant improvements for YouTube, News, Ads, Google Play Store at Google with >720 product improvements since 2013.

Prior to Google, he was Area Manager and Principal Scientist at Xerox Palo Alto Research Center's Augmented Social Cognition Group in researching how social computing systems help groups of people to remember, think and reason. Ed earned his 3 degrees (B.S., M.S., and Ph.D.) in 6.5 years from University of Minnesota. Inducted as an ACM Fellow and into the CHI Academy, he also received a 20-year Test of Time award for research in information visualization. He has been featured and quoted in the press, including the Economist, Time Magazine, LA Times, and the Associated Press. An avid golfer, swimmer, photographer and snowboarder in his spare time, he also has a blackbelt in Taekwondo.

Thomas Scialom is behind some of the world's best-known Generative A.I. projects including Llama 2

(Co-Lead), Toolformer, Galactica and Unnatural Instruction.

• Llama 2 is today's top open-source LLM

• Toolformer is an LLM that learns how to use tools

• Galactica is an LLM for science

Dr. Scialom:

• Is an A.I. Research Scientist at Meta.
• Has lectured at many of the top A.I. labs (e.g., Google, Stanford, MILA).
• Is contributing to the development of Artificial General Intelligence (AGI).
• Holds a PhD from Sorbonne University, where he specialized in Natural-Language Generation with Reinforcement Learning.

Dr. Allen Lu, Senior Director, MediaTek Inc.

Dr. Lu is the Senior Director of Computing and Artificial intelligence Technology Group at MediaTek. He is responsible for the ML/DL algorithm/tool development for mobile phone, camera, tablet, and TV products. Prior to MediaTek, Dr. Lu served as the General Manager of Video IoT (iVoT) Business Unit at Novatek. He was responsible for business and technology planning and execution. Prior to Novatek, Dr. Lu funded Afatek, a fabless company developing RF, digital modulator, and demodulator chips. Afatek was acquired by iTE in 2008.

Dr. Lu worked in Silicon Valley from 1997-2002. He joined the Excess Bandwidth Corp. specializing in signal processing. Excess Bandwidth Corp. was acquired by Virata Corp (now Conexant) in 2000. Dr. Lu was a member of technical staff at Hewlett Packard prior to Excess Bandwidth.

Dr. Lu received his M.S. and Ph.D. in Electrical Engineering from Stanford University.

Lawrence Lessig is the Roy L. Furman Professor of Law and Leadership at Harvard Law School. (The Roy Furman chair is in honor of this extraordinary alumnus.)

Prior to rejoining the Harvard faculty, where he was the Berkman Professor of Law until 2000, Lessig was a professor at Stanford Law School, where he founded the school’s Center for Internet and Society, and at the University of Chicago.

Lessig clerked for Judge Richard Posner on the 7th Circuit Court of Appeals and Justice Antonin Scalia on the United States Supreme Court. He serves on the Board of the AXA Research Fund, and is an Emeritus member of the board at Creative Commons.

Lessig is a Member of the American Academy of Arts and Sciences, and the American Philosophical Association, and has received numerous awards, including the Free Software Foundation’s Freedom Award, Fastcase 50 Award. In 2002, he was named one of Scientific American’s Top 50 Visionaries.

Lessig holds a BA in economics and a BS in management from the University of Pennsylvania, an MA in philosophy from Cambridge, and a JD from Yale.

• ▍現任：哈佛大學法學院教授
• ▍學歷：耶魯大學法學博士、劍橋大學哲學碩士、賓州大學經濟與管理雙學士
• ▍經歷：史丹佛大學法學院教授並創設學網路與社會中心、芝加哥大學法學院教授、Equal Citizens 創辦人、Creative Commons 創始董事會成員、AXA 研究基金科學委員會、美國藝術與科學院、美國哲學會等成員
• ▍研究：憲法學者，著有 13 本專書、9 篇書籍專章等 89 篇著作，其中論述科技 vs. 法律的著作共 44 篇
• ▍榮譽：獲 The New Yorker 評為網路世代最重要的智財思想家 (2002)、獲 Webby 獎、科學美國人 50 獎、Fastcase 50 獎等