For Engineers, By Engineers, AI NEXTCon is the first community-driven technology event specially geared to tech engineers to share, learn, and practice AI technology and solve engineering problems. The conference features a blend of hands-on workshops, inspirational keynotes, deep dive tech talks, tools/frameowrk live demo, networking opportunity with like minded colleagues. Also join our free online learning AI group with 300+ tech lead speakers and 50,000+ tech engineers to learn and practice AI.
April 10th Tuesday: Hands-on Workshop Day 1
Venue: Plug and play Tech center, 440 N Wolfe Rd, Sunnyvale, CA 94085
9:00am-11:30am
Advanced Computer Vision Made Simple On AWS With Apache MXNet, Gluon By AWS Team
11:30am-12:30pm
Lunch
12:30pm-2:30pm
Build A Chatbot With Watson AI By IBM Watson Team
2:50pm-5:10pm
Deep Learning With Python And Keras, Francesco Mosconi, Catalit
April 11th Wednesday: Hands-on Workshop Day 2
Venue: Plug and play Tech center, 440 N Wolfe Rd, Sunnyvale, CA 94085
9:00am-12:00pm
Tensorflow, Deep Learning And Recurrent Neural Networks, Without A PhD By Google Tensorflow Team
12:00pm-1:30pm
Lunch
1:30pm-4:30pm
Deep Reinforcement Learning, By Facebook Team
4:30-5:30pm
Happy hours and graduation party of two days training
April 12th Thursday: Conference Day 1
Venue: Santa Clara Convention Center, Theater
Tracks:
Keynote (grand ballroom) Computer Vision (Room 201)
Speech/NLP (Room 206)
Tracks:
Machine Learning/Deep Learning(Room 207)
Data Science/Analytics(Room 212)
8:00am
Check In
9:00am
Keynote: Deep Learning For Building Intelligent Systems, Jeff Dean, Senior Fellow, Google
9:50am
Keynote: Scaled Machine Learning Platform At Uber, Jeremy Hermann, Uber
10:35am
Coffee break and networking
11:00am
Keynote: Visual Discovery At Pinterest, Jure Leskovec, Chief Scientist, Pinterest
11:45am
Lunch break, Networking
1:00-1:50pm
Efficient Deep Learning For Computer Vision, Peter Vajda, Facebook (Room 201)How To Generate Almost Anything With Deep Models, Lukasz Kaiser, Google Brain (Room 206)The Power Of Interpretability And Deep Variational Methods, Chris Moody, Stitch Fix (Room 207)Models In Minutes Using AutoML, Sarah Aerni, Salesforce (Room 212)
2:00-2:50pm
Optimizing Neural Nets For Resource Constraint Devices, Siddha Ganju, Deep Vision (Room 201)Machine Learning Platform Life-Cycle Management, Hope Wang, Intuit (Room 206)AI Application At DiDi, Tony Qin, Didi Chuxing (Room 207)Deep Learning With MxNet And Gluon, Sunil Mallya, Amazon (Room 212)
2:50-3:20pm
Networking Break
3:20-4:10pm
Towards Machines That Perceive And Communicate, Kevin Murphy, Google (Room 201)Deep Learning And Language Processing At Airbnb, Avneesh Saluja, Airbnb (Room 206)Deep Learning Inference At Speed And Scale, Junhua Wang, Microsoft (Room 207)Building Data Science As A Service, Jennifer Prendki, Atlassian (Room 212)
4:10-5:00pm
AI To Cure The World, Xavier Amatriain, Curai (Room 201)Machine Learning Infrastructure For Netflix Recommendations, Faisal Siddiqi, Netflix (Room 206)Tensorflow, Deep Learning And Modern RNN Architectures, Martin Gorner, Google (Room 207)
Post-Conference Session
5:00-8:00pm
AI Night: games, topics, discussions on AI
Dinner reception with speakers and invited guests.
Tracks:
Keynote (grand ballroom) Computer Vision (Room 201)
Speech/NLP (Room 206)
Tracks:
Machine Learning/Deep Learning(Room 207)
Data Science/Analytics(Room 212)
April 13th Friday: Conference Day 2
Venue: Santa Clara Convention Center, Theater
8:30am
Check In
9:00am
Keynote: Artificial Intelligence At LinkedIn, Romer Rosales, LinkedIn
9:50am
Keynote: Building Scalable Framework And Environment Of Reinforcement Learning For Public Good, Yuandong Tian, Facebook
10:35am
Coffee break and networking
11:00am
Keynote: TensorFlow: Democratizing AI Since 2015, Rajat Monga, Google
11:45am
Lunch break and networking
1:00-1:50pm
Video Understanding At Facebook, Manohar Paluri (Room 201)Home Robots Meet IBM Watson For Voice UI, And AI, Marek Sadowski, IBM Watson (Room 206)Parameter Server Approach For Online Machine Learning At Twitter, Joe Xie, Twitter (Room 207)Analytics Metrics Delivery & ML Feature Visualization: Evolution Of The GoPro Data Platform, Chester Chen, GoPro (Room 212)
2:00-2:50pm
Computer Vision For Autonomous Driving, Adrian Kaehler (Room 201)Large Scale Deep Sequence To Sequence Modeling, Xiaobing Liu, Google Brain (Room 206)Explaining Your Models To Everyone, At Every Level (Or At Least Trying To), Leah McGuire, Salesforce (Room 207)
2:50-3:10pm
Networking Break
3:10-4:00pm
Deploy Serverless TensorFlow Models Using Docker, Kubernetes, OpenFaaS, GPUs, And PipelineAI, Chris Fregly, PipelineAI (Room 201)The Art And Science Of Alexa Communication, Cami Williams, Amazon (Room 206)Architecting A Modern Data Pipeline Framework To Accelerate And Scale Your Analytic Applications, Suqiang Song, Mastecard (Room 207)
4:00-5:00pm
happy hours, open discussion, networking
— Event Producer
