AI FrontiersConference Applied Deep LearningNovember 3-5, 2017, Santa Clara Convention Center
Our Topics
Chatbot and NLP
The exciting future of chatbots with deep reinforcement learning
Robots
What is the status of robots? How do they become smarter?
Deep Learning Breakthrough
The major breakthroughs in deep learning algorithm and their implications.
Video Analysis
How to apply deep learning to understand videos? What are the advances in computer vision?
Autonomous Driving
A look at future self-driving cars. The role of deep learning in autonomous driving.
Games
The growing presence of deep learning in game play and its impact for future games.
Speakers
Andrew NgFounderDeeplearning.ai
Xuedong HuangChief Scientist
of Speech & Language
Microsoft
Ruhi SarikayaDirectorAmazon Alexa
Xiaofeng RenChief ScientistAlibaba
Danny ShapiroSr. Director of AutomotiveNvidia
Magnus NordinTechnical DirectorElectronic Arts
Jeff SchneiderEngineering LeadUber
Manohar PaluriManager of
Computer Vision
Facebook
James ManyikaChairman and DirectorMcKinsey Global Institute
Lukasz KaiserSr. Research ScientistGoogle Brain
Dilek Hakkani-TurResearch ScientistGoogle
Yuandong TianResearch ScientistFacebook
Kaijen HsiaoCTOMayfield Robotics
Eddie KesslerDirectorDeepMind
Dileep GeorgeCo-FounderVicarious
Omar TawakolFounder and CEOWorkfit
Dekang LinCo-Founder and CTONaturali
Schedule

In this two-day conference, we bring together leading scientists and practitioners who have deployed large-scale AI products. You will gain a front-row seat of the frontiers of AI and have opportunity to network with others who are enthusiastic about AI technology and products.

Day 1November 3, 2017
9:00 - 10:00am
Keynote Speech
Andrew NgFounderDeeplearning.ai
Keynote Speech
Overview of the development of deep learning and its applications.
10:00 - 10:30am
Lessons Learned in Advancing Conversational Assistants
Xuedong HuangChief Scientist
of Speech & Language
Microsoft
Lessons Learned in Advancing Conversational Assistants
Speech and language technologies benefited tremendously from the latest progress in machine learning and knowledge engineering. I will share major lessons learned in advancing modern conversational assistants from Cortana to Customer Support Services.
10:30 - 11:30am
Chatbot and NLP
Ruhi SarikayaDirectorAmazon Alexa
Dilek Hakkani-TurResearch ScientistGoogle
Chatbot and NLP
A panel of industry experts and leading scientists on chatbot and natural language processing come together to discuss their work. What's the future of chatbot? Our speakers include Ruhi Sarikaya, Director of Amazon and Dilek Hakkani-Tur, research scientist of Google Research.
11:30 - 12:30pm
Video Understanding
Xiaofeng RenChief ScientistAlibaba
Manohar PaluriManager of
Computer Vision
Facebook
Video Understanding
A panel of industry experts and leading scientists discuss the newest development in computer vision, particularly video analysis. Our speakers include Xiaofeng Ren of Alibaba and Manohar Paluri of Facebook.
Manohar Paluri : Understanding Video
Video is becoming ubiquitous on the web. From the capture and creation to consumption a lot of amazing things are happening. As folks working in AI this poses a new challenge and great opportunity for us. If we can make machines understand video the way humans do then we can unlock a long set of applications. But, to be able to get there we need to solve many challenging problems, some of which are obvious ones that the academic community is solving – Datasets, Action Recognition, Multi-Modal understanding, Temporal aggregation, Modeling appearance and motion, Compression etc. I would like to discuss these direction and also talk about more longer term directions on self-serve content understanding, large label embedding and video summarization and so on.
12:30 - 1:30pm
Lunch
1:30 - 1:55pm
Deep Learning Breakthrough
Lukasz KaiserSr. Research ScientistGoogle Brain
Deep Learning Breakthrough
Leading scientists are presenting the current breakthrough in deep learning, ranging from multimodal learning and continuous prediction (generative model).
Lukasz Kaiser : One Model to Learn It All
Deep learning yields great results across many fields, from speech recognition, image classification, to translation. But for each problem, getting a deep model to work well involves research into the architecture and a long period of tuning. We present a single model that yields good results spanning multiple domains. This single model is trained concurrently on ImageNet, multiple translation tasks, image captioning, a speech recognition corpus, and an English parsing task. We achieved state-of-the-art performance while training much quicker and generating long coherent pieces, even on the scale of full Wikipedia articles. Our new architectures improve the ability to generate both text and images.
2:00-3:00pm
Robots
Dileep GeorgeCo-FounderVicarious
Kaijen HsiaoCTOMayfield Robotics
Robots
A panel of industry experts from companies that are actively developing robots come together to discuss their work. What is the status of robots? How do we build smart home robot?
Kaijen Hsiao : Adorable Intelligence
Join Kaijen to hear how she and her team created Kuri, the world’s most adorable home robot, and how cuteness and machine learning algorithms come together in creating a helpful robot that people are excited to bring into their homes. Kuri uses embedded, deep-learning-based algorithms for face, pet, and person detection, as well as for place recognition (for mapping and localization). Such algorithms are crucial for enabling her endearing interactions with people, as well as her ability to be the family videographer and entertainer. Cute behaviors also enable Kuri to subtly and smoothly gather necessary data for training and inference, providing a significant benefit in improving core functionality for adorable home robots.
3:00-3:30pm
Coffee Break
3:30-4:50pm
Autonomous Driving
Danny ShapiroSr. Director of AutomotiveNvidia
Jeff SchneiderEngineering LeadUber
Autonomous Driving
A panel of industry experts from companies that are actively developing autonomous cars come together to discuss their work. Our speakers include Danny Shapiro of Nvidia and Jeff Schneidar of Uber.
Danny Shapiro : Accelerating the Race to AI Self-Driving Cars
AI is transforming industries from consumer services to robotics. The transportation industry is next. As the industry moves from ADAS to the next-generation of self-driving technology, breakthroughs in computing are changing how we interact with vehicles, and enabling them to drive us. Deep learning is the game-changing technology behind all autonomous vehicle development. This session will showcase some of the latest deep learning systems from the data center to the vehicle being development to create safe and secure self-driving vehicles.
Jeff Schneider : Self Driving Cars and AI
Self driving cars have become one of the hottest areas in tech development today and are poised to transform our transportation systems. They are also one of the most complex technology developments ever undertaken and are simply not possible without extensive machine learning. In this talk, I will give a brief history of autonomous vehicle progress, and describe how machine learning and artificial intelligence solve various parts of the problem. I will finish with observations on how self driving cars will disrupt and transform the transportation industry, our cities, and our lives.
4:50-6:10pm
Games
Yuandong TianResearch ScientistFacebook
Magnus NordinTechnical DirectorElectronic Arts
Games
A panel of industry experts from companies that are actively developing game simulator and AI players come together to discuss their work.
Yuandong Tian : AI in Games: Achievements and Challenges
Recently, substantial progress of AI has been made in applications that require advanced pattern reading, including computer vision, speech recognition and natural language processing. However, it remains an open problem whether AI will make the same level of progress in tasks that require sophisticated reasoning, planning and decision making in complicated game environments similar to the real-world. In this talk, I present the state-of-the-art approaches to build such an AI, our recent contributions in terms of designing more effective algorithms and building extensive and fast general environments and platforms, as well as issues and challenges.
Magnus Nordin : Deep Learning for Game Development
The number of applications of deep neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition, translation, and self-driving cars. Neural nets will also be an powerful enabler for future game development. This presentation will give an overview of the potential of neural nets in game development, as well as provide an in depth look at how we can use neural nets combined with reinforcement learning for new types of game AI.
7-9pm
Dinner Banquet
Eddie KesslerDirectorDeepMind
banquetbanquet
Dinner Banquet
Keynote speech
Eddie Kessler : From Deep Mind to Large-Scale Google Products

Banquet and Networking
The banquet is a full course sit down dinner with wine, and a chance to interact with the speakers on an one to one basis. It also includes a presentation by a keynote banquet speaker. You will have the opportunity to meet and mingle with other guests, build connections, raise company profile, form potential business and research partnerships.
Day 2November 4, 2017
9-10:30am
Morning Talks
Dekang LinCo-Founder and CTONaturali
Omar TawakolFounder and CEOWorkfit
Morning Talks
Presentations and Demos from exciting AI startups.
Morning Talks: Leading startup founders or CTOs to speak on their products.
Dekang Lin : Adding Conversation to GUIs
Most AI assistants on mobile phones uses a conversational user interface (CUI) that mimics a chat app and translates user requests to API calls to backend services. I will present Conversational GUI (CGUI) which provides a thin layer of conversational interaction on top of existing GUI of mobile apps, by translating user requests into sequences of GUI actions such as clicks and swipes that user would have to perform by themselves. CUI avoids rebuilding existing user experiences in a chat window. More importantly, it makes it possible for end users, instead of software engineers, to create new skills by providing pairs of natural language expressions and a demonstration of the GUI actions.
Omar Tawakol : The Rise Of Voice-Activated Assistants In The Workplace
The market is already demonstrating strong value in the home for voice-activated AI, but the work environment is yet to catch up. Omar will explain why voice-activated AI is the most important development to come to the workplace. He will pull from his experiences creating Eva, the first enterprise voice assistant focused on making meetings more actionable, and dive specifically into the challenges of ASR (Automatic Speech Recognition), NLP and neural networks in creating these kinds of voice-activated assistants. He will share how his team have overcome these challenges.
10:30-11:00am
Break
11:00-12:30pm
Startup Demo 1
Frank ChenPartnerAndreessen Horowitz
Samir KumarManaging DirectorMicrosoft Ventures
Ashmeet SidanaManaging PartnerEngineering Capital
Startup Demo 1
Demos from 8 startups, each startup has 5 minutes for the demo and 5-minute comments from the VC panel.
We are currently accepting demo proposals. Click here for details. http://www.aifrontiers.com/startup-demo/.
Demo Startups:
  1. Redmarlin
    RedMarlin protects brands from online infringement and abuse. Every year, companies lose billions of dollars to counterfeiting and millions to phishing and other online scams infringing on their brand. RedMarlin monitors the internet, detects fake websites in real-time using Computer Vision, NLP and Deep Learning, and achieves fastest take downs, so brands can focus on their core business.
    Presenter: Abhishek Dubey, Co-founder & CEO; Shashi Prakash, Co-founder & Chief Scientist
  2. TrueShelf
    TrueShelf is an AI powered adaptive learning platform that understands the relationships between thousands of math skills, adaptively generates an unlimited number of problems, and helps students learn mathematics rigorously by providing them instant granular feedback. TrueShelf analyzes students’ abilities and identifies mistakes, from conceptual mistakes to application mistakes, and even silly mistakes, then guides them in a personalized manner.
    Presenter: Dr. Shiva Kintali, Founder & CEO
  3. RFNav
    RFNav is developing an autonomous vehicle navigation system to allow driving in all weather conditions. The low cost architecture incorporates artificial intelligence and advanced DSP at the point of sensing to greatly reduce spectral domain image artifacts and scene entropy. Combined with a new imaging radar, cleaner 4D (3D position + Doppler) voxels improve downstream processing, feature extraction and multi-mode sensor fusion.
    Presenter: Jim Schoenduve, Director of Strategy
  4. AFanta Inc.
    AFanta is an artificial intelligence company based in Palo Alto, California. Combining deep learning, computer vision and computer graphics, AFanta develops cutting-edge video processing technologies to create revolutionary video social experiences and accelerate VR adoption.
    Presenter: Yang Qin, CEO
VC Panelists:
  • Frank Chen, Partner at Andreessen Horowitz
  • Samir Kumar, Managing Director at Microsoft Ventures
  • Ashmeet Sidana, Managing Partner at Engineering Capital
12:30-1:30pm
Lunch
1:30-3:00pm
Afternoon Talks
Afternoon Talks
Presentations and Demos from exciting AI startups.
Afternoon Talks: Leading startup founders or CTOs to speak on their products.
3:00-3:30pm
Break
3:30-5:00pm
Startup Demo 2
Startup Demo 2
Demos from 8 startups, each startup has 5 minutes for the demo and 5-minute comments from the VC panel. We are currently accepting demo proposals. Click here for details. http://www.aifrontiers.com/startup-demo/.
Day 3November 5, 2017
8:30am-12:30pm
Training - Natural Language Processing
SK ReddyFounderPamoru
Training - Natural Language Processing
Natural Language Processing
Instructor: S K Reddy
Natural Language Processing (NLP) has made tremendous progress in processing text in the recent past. Question-answering, topic modeling, summarization, sentiment analyses, spam email detection, auto-response to emails, medical diagnosis, are few of the many problems that are being solved using NLP.
Objectives of this training session:
(i) Novices: Introduce NLP.
(ii) Intermediate: Enhance the insights into NLP and sub topics.
(iii) Experts: Sharpen the skills in NLP sub topics like summarization, QA and language translation.
Agenda:
(1) ML and NLP fundamentals.
(2) Neural networks, RNN, LSTMs, GRUs.
(3) Question answering, topic modeling, sentiment analysis, summarization and translation.
(4) NLP frameworks. Intro to Tensorflow, Keras, Caffe.
(5) Word embeddings, word2vec, glove, language modeling.
(6) Hands-on exercise on an NLP problem, download a dataset and implement the model.
(7) Define next steps to continue NLP learning.
1:30pm-5:30pm
Training - Deep Reinforcement Learning
Yuandong TianResearch ScientistFacebook
Training - Deep Reinforcement Learning
Deep Reinforcement Learning by Facebook Team
Instructor: Yuandong Tian
A deep dive into deep reinforcement learning and get hands on experience on applying deep RL to games hosted by Facebook.
Agenda:
(1) The basics of reinfrocement learning.
(2) Q-learning
(3) Introduction to deep reinforcement learning
(4) Policy gradients.
(5) Actor-critic algorithms.
(6) Introduction of an extensive, lightweight and flexible platform for deep RL & designing AI agents ( http://github.com/facebookresearch/ELF)
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NOV 3-5, 2017
5001 Great Amercia PKWY,
Santa Clara, CA 95054
register
Suggested Hotel
Hyatt Regency Santa Clara
5101 Great America Pkwy, Santa Clara, CA 95054
Contact Us
940 Stewart Dr Sunnyvale, CA 94085
info@aifrontiers.com