VIP / Speakers

« Back to List

How 5G and AI are Powering Our Intelligent Future

Time / Place:

⏱️ 10/7 (Thur.) 20:20-20:45 at Online Track 2


The post-epidemic era accelerates the adoption of AI in 5G-connected edge devices. The success of AI relies on big data and powerful computing capabilities. Behind the benefits of AI, it is often accompanied by personal privacy and security issues.

To further enhance the user experience such as real-time response and ubiquitous availability and address the concern of privacy and security, the market demands high performance connected edge devices. For smartphone devices, mobile AI is evolving from face recognition and object detection to image enhancement.

For smart TV, AI function is also evolving from scene detection and image segmentation to pixel-level super resolution. It becomes an irreversible trend in daily life both at home and workplace.

In a typical application such as a conference call with virtual background, multiple computing and communication functions operate at the same time, including camera and display image processing, AI for image segmentation, video encoding/decoding, 3D graphics rendering, and low latency wireless transmission.

The applications bring higher challenges to the chip design, especially in computing power, thermal, and memory bandwidth management. This presentation will address the opportunities and challenges brought by AI+5G technology on chip design.

😊 Share this page to friends:


  • 陸忠立 Allen Lu
  • Computing and Artificial Intelligence Technology Group,MediaTek Inc. / Senior Director
  • 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. The application covers video and image object detection, picture quality enhancement, noise reduction, etc. 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. iVoT is the leader in dash cam market over years. In 2017, iVoT developed the first SoC integrating deep learning accelerator with 4K-resolution ISP (image signal processing) and video codec for surveillance camera. The SoC replaced the discrete solution and achieve a commercial success. Prior to Novatek, Dr. Lu funded Afatek, a fabless company developing RF, digital modulator, and demodulator chips. Afatek developed the first silicon integrating RF front-end with demodulator for digital TV in 2006, and subsequently developed the first silicon integrating RF front-end with multi-standard modulator for surveillance application. Afatek was acquired by iTE in 2008. Dr. Lu worked in Silicon Valley from 1997-2002. He joined the Excess Bandwidth Corp. funded by Stanford professors specializing in signal processing. He was responsible for the communication front-end and circuit-design. The start-up delivered the best performance symmetrical high speed

    DSL (SHDSL) modem prototype in six months. They subsequently developed integrated chipset for SHDSL modem in twelve months. 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.

    He led two projects in WDM MAN and LAN testbed development funded by Sprint and ARPA. He published more than 30 papers in the optical communication and photonic switching fields.

😊 Share this page to friends:

😊 Share this page to friends: