Boston Scientific
Biprogy USA
Auradine
Yun Jin
Engineering Director
Meta
Yun Jin currently works as Engineering Director of Infrastructure in Meta Inc where he leads the Meta's strategy of private cloud capacity and efficiency. Before Meta, Yun has been engineering leadership roles for PPLive, Alibaba Cloud, and Microsoft. Yun has worked on large scale distributed systems, cloud and big data area for 20 years.
CL Chen
COO
NEUCHIPS
CL Chen is an accomplished leader in the IC design industry with a remarkable career spanning over 27 years including CTO, AMTC Corp., Programme Manager TSMC, Director at Global Unichip Corp which is a TSMC subsidiary public company specialized in SOC design service. His wealth of experience and expertise has contributed significantly to the growth and innovation of the field.
As the Chief Operating Officer of NEUCHIPS, he continues to drive excellence and foster partnerships within the industry. He possesses a wealth of experience in domain specific inferencing accelerator, particularly within the burgeoning field of e-commerce. His insights and contributions have enhanced the customer experience within Taiwan's e-commerce sector, underscoring his commitment to leveraging technology for real-world impact. At NEUCHIPS, CL's role as COO signifies his dedication to advancing the company's operations, growth, and strategic partnerships. His extensive network within the industry, coupled with his proven track record of connecting eco partners, has been instrumental in propelling NEUCHIPS to new heights.
As AI services and applications grow exponentially, including the latest burgeoning GenAI trend, the industry is rapidly transitioning to a Hybrid AI model that splits the compute needed between the Cloud and an Edge device. The need for specialized AI processing on edge devices is becoming almost mandatory. This is driven by a multitude of factors including speech and visual processing for improved Human Machine Interfaces, time-series, or signal processing for applications like vital signs prediction in healthcare and preventative maintenance in factory automation, just to name a few, along with the general need for privacy and security. To meet portability, responsiveness, and cost requirements, future proofed AIoT devices will need to be equipped with efficient compute for advanced sequence prediction, semantic segmentation, multimedia processing, and multi-dimensional time series processing in a very low power budget and silicon footprint.
Nandan Nayampally
Chief Marketing Officer
Brainchip
Nandan is an entrepreneurial executive with over 25 years of success in building or growing disruptive businesses with industry-wide impact. Nandan was most recently at Amazon leading the delivery of Alexa AI tools for Echo, Fire TV and other consumer devices. Prior to that he spent more than 15 years at Arm Inc. including roles as GM developing Arm’s CPU and broader IP portfolio into an industry leader that is built into over 100B chips. He started his career at AMD on their very successful Athlon processor program. He also helped grow product lines in startup businesses such as Silicon Metrics and Denali Software which had successful acquisitions down the road.
BrainChip
Website: https://brainchip.com/
BrainChip is a leader in edge AI on-chip processing and learning. The company’s first-to-market convolutional, neuromorphic processor, AkidaTM, mimics the event-based processing method of the human brain in digital technology to classify sensor data at the point of acquisition, processing data with unparalleled energy-efficiency and independent of the CPU or MCU with high precision. On-device learning that is local to the chip without the need to access the cloud dramatically reduces latency while improving privacy and data security. In enabling effective edge computing to be universally deployable across real-world applications, such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI is the future for customers’ products, the planet and beyond.
Deploying interactive optimized models on the Edge while maintaining the user experience is complex and challenging. This panel explores that solving real world problems, such as wayfinding, hyper personalized advertising, and interactive troubleshooting; through Generative AI comes with its own set of challenges that necessitate the Edge. Necessary multi-stage processing/inferencing, including multi modal inputs and outputs, needs to be delivered in seconds to reach the needed user experience.
This panel explores how these can be addressed in the context of smart places, retail and industrial.
Moderator
Matthias Huber
Sr. Director, Solutions Manager, IoT/Embedded & Edge Computing
Supermicro
Matthias Huber is a seasoned technology executive with over 25 years of experience in IoT and Edge computing. As the Sr.Dir. Solutions Management he is driving innovation and growth in several markets for Supermicro, focusing on manufacturing, medial, as we well as retail and smart city. With a deep understanding of customer needs and a passion for innovation, Matthias helps global customers leveraging edge computing to innovate and transform. Prior to joining Supermicro, Matthias held senior roles at Kontron and ADlink. He holds a degree in Engineering and an MBA from Warwick university.
Panellists
Zihan Wang
Global BD Manager, Manufacturing & Industrials
NVIDIA
Zihan is a Global Industry Business Development (IBD) Manager in the Manufacturing and Industrials vertical at NVIDIA. He works with ecosystem partners and customers to see and realize the value of AI and HPC along the value chain.
Zihan started his career as a mechanical engineer at U.S. Dept. of Energy Argonne National Laboratory, where he worked with automakers on advanced powertrain system R&D. He has gradually transitioned to roles that combine business and technology. Prior to NVIDIA, Zihan worked for Ernst & Young as a management consultant. He advised F500 technology and manufacturing clients in P&L improvement and M&A activities.
Gordon Cooper
Product Marketing Manager
Synopsys
Gordon Cooper is a Product Manager for Synopsys' AI/ML processor products. Gordon brings more than 20 years of experience in digital design, field applications and marketing at Raytheon, Analog Devices, and NXP to the role. Gordon also served as a Commanding Officer in the US Army Reserve, including a tour in Kosovo. Gordon holds a Bachelor of Science degree in Electrical Engineering from Clarkson University.
Super Micro Computer
Website: https://www.supermicro.com/en/home
Supermicro is a global technology leader committed to delivering first-to-market innovation for Enterprise, Cloud, AI, Metaverse, and 5G Telco/Edge IT Infrastructure. We are a Rack-Scale Total IT Solutions provider that designs and builds an environmentally-friendly and energy-saving portfolio of servers, storage systems, switches, software, along with global support services.
