June 18 - 21, 2019 in Beijing
AI is moving fast. At the Artificial Intelligence Conference, co-presented by O’Reilly Media and Intel Corporation, you’ll find unparalleled technical content with an applied industry focus, including the new breakthroughs, tools, frameworks, use cases, and business applications you need to put AI to work now.
Follow us @IntelAI for the latest happenings at #TheAIConf in Beijing!
This year’s Artificial Intelligence Conference takes place at the Beijing International Hotel. We invite you to visit our booth #200 in the sponsor pavilion on Thursday, June 20 and Friday, June 21 for demonstrations from Intel and our partners. Please join us for a reception on Thursday, June 20th from 17:00 – 17:45.
|Intel||Inference Performance Boost with Intel® DL Boost and 2nd Generation Intel® Xeon® Scalable Processors|
|Intel||AI Gaming with Analytics Zoo (Apache Spark* + Big DL unified platform)|
|TenCent||YouTu AI Camera based on Intel® Movidius™ Myriad™ VPU|
|LLVision||AR+AI Glasses GLXSS ME + Edge server|
|Tongfang||SighTA: Smart Video Analysis based on Intel® Xeon® Processors|
|ZTE||Edge Solution for Video Analysis based on Intel Processors and Intel® Stratix® 10 FPGAs|
|4 Paradigm||SageOne: AI All-in-One System based on Intel Xeon Processors and Intel® 3D Xpoint™ Memory|
Vice President and General Manager of Artificial Intelligence Products and Research Marketing, Artificial Intelligence Products Group (AIPG)
Sr. Director, Emerging AI Tech and Technical Assistant, Office of the CTO, Artificial Intelligence Products Group (AIPG)
Software Engineer, Big Data Technologies, Software and Services Group
Senior Research Director & Principle Research Scientist, Cognitive Computing Lab, Intel Labs China
Zhichao Li – Intel
Analytics Zoo provides a unified analytics and AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline; the entire pipeline can then transparently scale out to a large Hadoop/Spark cluster for distributed training or inference. Attendees will learn how to build and productionize deep learning applications for big data using Analytics Zoo and look at real-world use cases.
Zhen Zhao – Intel
Intel’s OpenVINO toolkit helps developers efficiently deploy deep neural network inference models and accelerate the deep learning and computer vision application from edge to cloud applications based on various Intel hardware platforms, including CPUs, GPUs, vision processing units (VPUs), and field-programmable gate arrays (FPGAs). This session shares the structure and workflow of the toolkit, optimization methods, and more.
Julie Shin Choi – Intel, Abigail Hing Wen – Intel
Julie Shin Choi is VP and GM of Artificial Intelligence Products and Research Marketing at Intel Corporation. She is responsible for marketing the Intel portfolio of hardware and software products for building enterprise scale AI solutions and helping customers, developers, and the ecosystem understand Intel’s rich set of AI offerings.
Abigail Huang Wen is Managing Counsel, Office of the CTO, in the Artificial Intelligence Products Group at Intel Corporation. She serves as a strategic, legal and policy adviser for AI research efforts, focusing on emerging technologies, the greater ecosystem and policy leadership.
Guoqiong Song – Intel, Luyang Wang – Office Depot, Jiao (Jennie) Wang – Intel, Jing (Nicole) Kong – Office Depot
Real-time recommender systems are critical for the success of the e-commerce industry. Newly developed deep neural networks (DNNs) have shown success as recommender systems by capturing nonlinear relationships in the user-item dataset. In this session, attendees will learn how to build efficient recommender systems for the e-commerce industry using deep learning technologies.
Shengsheng Huang – Intel
Using AI to play games is often perceived as an early step toward achieving general machine intelligence, as the ability to reason and make decisions based on sensed information is an essential part of general intelligence. Shengsheng Huang shares experiences from her attempts in using AI on Spark for game playing.
Ziya Ma – Intel
Ziya Ma is vice president in Intel Architecture, Graphics and Software as well as director of Data Analytics Technologies in System Software Products at Intel Corp. Ma is responsible for optimizing big data solutions on the Intel® architecture platform, leading open source efforts in the Apache community, and bringing about optimal big data analytics and AI experiences for customers.
Yang Wang – Intel
Building a model is fun and exciting; putting it to production is always a different story. This session introduces Analytics Zoo, a unified analytics and AI platform for distributed TensorFlow, Keras, and BigDL on Apache Spark. This new framework enables easy experimentation for algorithm designs and supports training and inference on Spark clusters with ease of use and near-linear scalability.
Yurong Chen – Intel
Attendees will learn three key ways to enable deep learning inference at the edge devices from DNN algorithm design perspective.
Lei Xia – Intel
This session provides a brief introduction of low-precision for AI inference, introduces Intel® Deep Learning Boost featuring Vector Neural Network Instructions (VNNI), and introduces how to use low-precision inference acceleration with Intel Optimization for Caffe, TensorFlow*, and Intel® Distribution of OpenVINO™.
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