2019 World Artificial Intelligence Conference

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Who: Wave Computing®, the Silicon Valley company that is revolutionizing artificial intelligence (AI) and deep learning with its dataflow-based systems, Chief Technology Officer Dr. Chris Nicol will present “AI Computing Past, Present, and Future: Challenges and Promises” at the 2019 World Artificial Intelligence Conference.

What: The 2019 World Artificial Intelligence Conference (WAIC), the first high-end conference that will include high-end forums, series activities, innovative application exhibitions and intelligent application practices.

When: Thursday, August 29 – Saturday, August 31, 2019

Presentation Time: Saturday, August 31, starting at 4:20 p.m. until 5:00 p.m.

Where: The Shanghai World Expo Exhibition & Convention Center in Pudong New Area, Shanghai, China

Registration: To register for the event, please visit: http://www.worldaic.com.cn/portal/en/index.html

About Dr. Chris Nicol

Dr. Chris Nicol is the CTO of Wave Computing and the lead architect of the DPU architecture incorporated into the company’s deep learning solutions. In addition to his duties as CTO, Nicol leads the architectural teams for hardware and software as well as the company’s data science efforts. Prior to joining Wave Computing he was CTO of Embedded Systems at NICTA, an Australian ICT R&D organization he helped establish. Nicol received his PhD degree from the University of New South Wales and his MBA from the Australian Graduate School of Management. He is an inventor on 21 U.S. patents and has served on the TPC of ISSCC twice, and is serving his second term on the TPC of IEEE International Symposium on Low Power Electronics and Design.

About Wave Computing, Inc.

Wave Computing, Inc. is revolutionizing artificial intelligence (AI) with its dataflow-based solutions. The company’s vision is to bring deep learning to customers’ data wherever it may be—from the datacenter to the edge—helping accelerate time-to-insight. Wave Computing is powering the next generation of AI by combining its dataflow architecture with its MIPS embedded RISC multithreaded CPU cores and IP. More information about Wave Computing can be found at https://wavecomp.ai.