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Cheng Wang

Co-Founder & SVP, Architecture & Engineering
Flex Logix

Originally from Shanghai, PRC.  Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley.  MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.

Cheng Wang

Co-Founder & SVP, Architecture & Engineering
Flex Logix

Cheng Wang

Co-Founder & SVP, Architecture & Engineering
Flex Logix

Originally from Shanghai, PRC.  Cheng has led the architecture, silicon implementation and software development for eFPGA over multiple generations from 180nm-16nm and now AI inferencing development at Flex Logix. Two years as VLSI designer at Zoran. BSEECS, UC Berkeley.  MSEE, EE PhD UCLA: designed 5 FPGA chips from 90nm to 40nm. 2013 Distinguished PhD Dissertation Award. 2014 ISSCC Lewis Winner Award for Outstanding Paper. Multiple patents at UCLA and Flex Logix.

Top 20 SMEs Report
 

Joana Maricato

Market Research Manager
New Nutrition Business

Talk to me about… my research

New Nutrition Business is a global company that since 1995 has specialised in primary research and analysis of developments in the health, food and nutrition industry. New Nutrition Business provides practical and useable insights for food and beverage, ingredient and dietary supplement companies around the world.

Joana Maricato

Market Research Manager
New Nutrition Business

Joana Maricato

Market Research Manager
New Nutrition Business

Talk to me about… my research

New Nutrition Business is a global company that since 1995 has specialised in primary research and analysis of developments in the health, food and nutrition industry. New Nutrition Business provides practical and useable insights for food and beverage, ingredient and dietary supplement companies around the world.

My focus is on identifying the best strategies for commercializing nutrition science and helping clients create new products with health benefits. During the past years I have been involved in several projects exploring the concepts of nutrigenomics and Personalised Nutrition.

Talk to me about…something people may not know about me

For the past 6 years I’ve lived in 4 different countries, so when I’m not moving or working you can find me trying out new recipes (and eating them too!), travelling, an unwinding in outdoor hikes.

Q&A with Graeme Taylor
Graeme Taylor Q&A
 
AI Hardware Summit 2018
18-19 Sep 2018
Computer History Museum, Mountain View, CA
The AI Hardware Summit is the first and only conference dedicated solely to the ecosystem developing hardware accelerators for neural networks and computer vision.Join 250+ senior technology leaders from AI chip start-ups, semiconductor companies, system vendors/OEMs, data centers, end users, financial services, investors and fund managers, to build a comprehensive architectural roadmap of the emerging AI chip market.Take advantage of unique networking opportunities to meet key industry leaders 1-2-1, whilst also exploring:  Innovations and Optimizations of High-Performance Chip Architectures: GPUs, ASICs & TPUs, FPGAs…Alternative Approaches: hybrid digital/analog computing, neuromorphics & neuromemristive systems, quantum computing.The Role of Software: assistance software, software frameworks, ecosystems, and applications. Generating user-friendly native code and linking open source machine learning frameworks like TensorFlow & Caffe.Industry Developments: Start-up & Corporate R&D, Venture Capital and Corporate Venture Capital investment trends, strategic acquisitions & partnerships.Forecasts predict that the AI (chipsets) market is expected to grow from USD 7.06 Billion in 2018 to USD 59.26 Billion by 2025, at a CAGR of 35.5% from 2018 to 2025 (Business Wire, 2018), the chip market is no longer standing still. As we approach a paradigm shift in computing, there is little doubt that a combination of the processing units currently in development will accelerate AI research and development, far beyond the capabilities of current platforms.  There is need for sharing knowledge on the best way to turn this shift into an opportunity and roadmap the future ahead.