Tracy Wan
Lance Dietz
Manu Nair
Manu started his career at Analog Devices India as a mixed-signal designer. From 2015, he has been working on designing neural network accelerators, first at the University of Manchester, followed by a PhD in the topic from the Institute of Neuroinformatics, UZH-ETH Zurich. He co-founded Synthara in 2019 and has since been leading its business development as its CEO. Synthara is focussed on delivering server-class, rapidly-customizable AI accelerators for the next-generation of edge inference applications. The breakthrough performance and low latency delivered by our Adaptiva IP product family enables a whole new class of wearable, smart sensing, and biomedical applications. Synthara is headquartered in Zug, Switzerland and has won a number of awards from various organizations such as Intel Ignite, European Space Agency, Innosuisse, and others.
Testimonials
I have a stake in the game and would be curious to hear directly about the challenges in operating in this industry from my peers. I am also happy to share my experience in running SYnthara and the challenges and opportunities as we see them
Manu Nair
Chris Kachris
Chris Kachris is the founder and CEO of InAccel that helps companies speedup their applications using hardware accelerators in the cloud easier than ever. He holds a Ph.D. in Computer Engineering from Delft University of Technology. He is the editor of the book Hardware Accelerators in Data Centers and he has more than 20 years of experience on FPGAs and hardware accelerators for machine learning, network processing and data processing. His has co-authored more than 80 scientific paper on hardware accelerators and his work has been cited in more than 2000 publications.
Testimonial
There are a lot of companies that now provides powerful AI platforms. However, the main challenge for the widespread adoption of specialized AI chips is the easy of integration with the current software stack and the frameworks that are widely used by ML engineers, data scientist and DevOps. Therefore, there is the need of an abstractions layer (similar to an Operating system in the CPU world) that will allow software developers to fully utilize the power of AI chips without having to change the software. Therefore, it is crucial to discuss the need for the abstraction layers (middleware, runtime system, resource manager) that will allow the AI chips to be easily integration with the software frameworks and the DevOps tools (kybernetes, etc.). The main contribution that will bring into the panel is the need for the software stack for easy deployment, scaling and resource management of the AI chips to be easily adopted by the software and ML community.
Alexandra Pinto
My name is Alexandra Pinto and I am the founder of Hoursec, we are doing Energy Efficient AI-On-Chip for edge devices. I studied Physics and Neural System and Computation at ETH Zurich. Our Passion and inspiration on Neuroscience and it’s interceptions with Technology and Data Science! allow us to see the brain as a matrix or operator which performs a transformation, that takes all external signals and transforms them in a world were there are only three dimensions for space, one for time, but N-dimensions for sound, flavor, colors etc. In some strange way, our brains build a space that helps us make sense of the world and how we interact with it. This inspiration took us into the creation of a brain inspired chip with low energy and high throughput for AI workloads and we are excited to take our technology further into commercialization
Testimonial
Since we are an early stage startup but with a technology with the potential to step-change the energy consumption of current AI-workloads, this meeting is an opportunity to get exposed and learn from the current big players in the market. We will use this opportunity to give our perspective on topics of energy benchmarks and sustainability.
Altaf Khan
Altaf Khan is the CEO of Infxl LLC, Colleyville, TX. Infxl develops ultra-low-power and ultra-low-latency Machine Learning (ML) solutions for FPGA, DSP, and MCU. Altaf started his career as an accelerometer system engineer in Silicon Valley, but simplifying neural nets has been his passion over the last three decades. He has developed fast ML for real-time applications, low-cost ML for battery-operated IoT endpoints, and small-footprint ML for a variety of hardware. He has developed intelligent solutions for a major US airline and a well-known auto parts supplier. He has been the CTO of a brokerage company, CEO of two startups, consultant for software process improvement, and an industrial controls engineer. Altaf received his BSEE from Wilkes College, MSEE for the University of Pennsylvania, and PhD from the University of Warwick.
Huaiyu Meng
Dr. Huaiyu Meng is co-Founder and CTO of Lightelligence, a global optical computing company. Huaiyu received his PhD degree in Electric Engineering from MIT, where his research focused on integrated photonics in CMOS platform for telecom, datacom, and bio-sensing applications. He received his Bachelor’s degree from Nanyang Technological University in Electric Engineering with first class honor.
Yun Ge
