Entrepreneurship Workshop
"Investment in Semiconductor: Next Generation Computing Architecture"
Mr. Nero WANG (Sinovation Ventures)
Abstract
For the traditional computing architecture cannot meet the load requirements of the next generation of computing, a new opportunity of the next generation of computing architecture is brought about, which cannot be monopolized by the giant companies of the traditional chips. Thus, the start-ups can come for equal competition.
Mr. Nero WANG (Sinovation Ventures)
"Challenges and Trends of AI Chip on Mobile Platform"
Mr. Xiaofei XIA (Vivo)
Abstract
AI chip has more and more application scenarios on mobile platform, however, AI chip has to face the 2 challenges: 1. Energy is the always limitation on mobile platform, AI chip has to balance the performance and power consumption; 2. Algorithms move so fast, algorithm and hardware co-design is the only way to achieve best power efficiency.
Mr. Xiaofei XIA (Vivo)
"Boost genomics with the innovation of biosensors, artificial intelligence, and smart manufacturing"
Dr. Mei YAN (GeneSense Technology Inc.)
Abstract
This talk explores the innovative roles of biosensors, artificial intelligence, and smart manufacturing in genomics, with a particular focus on the transformative potential of DNA sequencing. Over the past four decades, DNA sequencing methodologies have undergone rapid evolution, leading to the successful commercialization of new techniques such as next-generation sequencing (NGS). As a result, DNA sequencing has expanded its applications to areas such as diagnostics, gene therapy, drug discovery, precision medicine, and global pan-pathogen surveillance networks. However, there are still limitations to DNA sequencing methodologies of different generations. Therefore, this talk aims to discuss the current state of DNA sequencing methodology, its potential future developments, and GeneSense's vision for leveraging biosensors, artificial intelligence, and smart manufacturing to transform the field of life science and healthcare through genomics.
Dr. Mei YAN (GeneSense Technology Inc.)