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Jeff Jiao

Principal Architect of AI Chip
Alibaba Group

Jeff Jiao

Principal Architect of AI Chip
Alibaba Group

Jeff Jiao

Principal Architect of AI Chip
Alibaba Group
 

Carole-Jean Wu

Research Scientist
Meta

Carole-Jean Wu is a Research Scientist at Facebook AI Research. Her research focuses on designing systems for at-scale execution of machine learning, such as personalized recommender systems and for mobile deployment. More generally, her research interests are in computer architecture with particular focus on energy- and memory-efficient systems. Carole-Jean chairs MLPerf Recommendation Benchmark Advisory Board and co-chairs MLPerf Inference. She received her M.A. and Ph.D. from Princeton and B.Sc. from Cornell.

Carole-Jean Wu

Research Scientist
Meta

Carole-Jean Wu

Research Scientist
Meta

Carole-Jean Wu is a Research Scientist at Facebook AI Research. Her research focuses on designing systems for at-scale execution of machine learning, such as personalized recommender systems and for mobile deployment. More generally, her research interests are in computer architecture with particular focus on energy- and memory-efficient systems. Carole-Jean chairs MLPerf Recommendation Benchmark Advisory Board and co-chairs MLPerf Inference. She received her M.A. and Ph.D. from Princeton and B.Sc. from Cornell. She holds tenure from ASU and is the recipient of the NSF CAREER Award, Facebook AI Infrastructure Mentorship Award, the IEEE Young Engineer of the Year Award, the Science Foundation Arizona Bisgrove Early Career Scholarship, and the Intel PhD Fellowship, among a number of Best Paper awards.

In conversation with... PLAYKEY
Animal Health Investment Europe 2020 Highlights
 

Speakers to be confirmed

Speakers to be confirmed

Speakers to be confirmed

 
Animal Health One 2020
23-25 Jun 2020
VIRTUAL EVENT | EDT Timezone
The Covid-19 pandemic is creating unprecedented disruption for the animal health industry with far reaching effects yet to be measured. In this uncertain time, there is a now a real need for greater collaboration and communication across the sector and among emerging businesses, large corporate entities, government agencies, NGOs, and investors.At Kisaco Research we're committed to giving the animal health community a platform where we can come together, continue to create vital strategic connections and drive deal-making via virtual partnering meetings. We appreciate that this will be a new experience for many of you but operating virtually is now the new business norm and we look forward to working with you to make this a truly effective experience. Join us virtually June 23rd -25th and access:3 days of advanced, pre-scheduled, virtual networking using 1-2-1 video chatHighly relevant and informative content sessions, panel discussions and presentationsAn international business audience specific to animal health and nutritionThe opportunity to engage with the most exciting emerging business and biotech in animal health
 

Greg Diamos

Engineering Lead
Landing AI

Greg leads transformation engineering at Landing AI, focusing on building new AI engineering organizations.  He is a founding member of MLPerf. Previously he lead AI research at Baidu’s Silicon Valley AI Lab (SVAIL), where he helped develop the Deep Speech and Deep Voice systems. Before Baidu, Greg contributed to the design of compiler and microarchitecture technologies used in the Volta GPU at NVIDIA, including the invention of the SIMT independent thread scheduling system.

Greg Diamos

Engineering Lead
Landing AI

Greg Diamos

Engineering Lead
Landing AI

Greg leads transformation engineering at Landing AI, focusing on building new AI engineering organizations.  He is a founding member of MLPerf. Previously he lead AI research at Baidu’s Silicon Valley AI Lab (SVAIL), where he helped develop the Deep Speech and Deep Voice systems. Before Baidu, Greg contributed to the design of compiler and microarchitecture technologies used in the Volta GPU at NVIDIA, including the invention of the SIMT independent thread scheduling system. Greg holds a PhD from the Georgia Institute of Technology, where he led the development of the GPU-Ocelot dynamic compiler, which targeted CPUs and GPUs from the same program representation.

 

Peter Mattson

Staff Engineer
Google

Peter Mattson leads the ML Performance Measurement at Google. He co-founded and is the General Chair of MLPerf. Previously, he founded the Programming Systems and Applications Group at NVIDIA Research, was VP of software infrastructure for Stream Processors Inc (SPI), and was a managing engineer at Reservoir Labs. His research focuses on accelerating and understanding the behavior of machine learning systems by applying novel benchmarks and analysis tools. Peter holds a PhD and MS from Stanford University and a BS from the University of Washington.

Peter Mattson

Staff Engineer
Google

Peter Mattson

Staff Engineer
Google

Peter Mattson leads the ML Performance Measurement at Google. He co-founded and is the General Chair of MLPerf. Previously, he founded the Programming Systems and Applications Group at NVIDIA Research, was VP of software infrastructure for Stream Processors Inc (SPI), and was a managing engineer at Reservoir Labs. His research focuses on accelerating and understanding the behavior of machine learning systems by applying novel benchmarks and analysis tools. Peter holds a PhD and MS from Stanford University and a BS from the University of Washington.