AI FrontiersConference Applied Deep LearningNovember 3-5, 2017, Santa Clara Convention Center
Our Topics
Personal Assistants
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
Alex AceroSr. DirectorApple Siri
Ruhi SarikayaDirectorAmazon Alexa
Rahul SukthankarHead of Video UnderstandingGoogle
Xiaofeng RenChief ScientistAlibaba
Danny ShapiroSr. Director of AutomotiveNvidia
Magnus NordinTechnical DirectorElectronic Arts
Jeff SchneiderDirectorUber
Manohar PaluriManager of
Computer Vision
Facebook
James ManyikaChairman and DirectorMcKinsey Global Institute
Lukasz KaiserSr. Research ScientistGoogle Brain
Yuandong TianResearch ScientistFacebook
Kaijen HsiaoCTOMayfield Robotics
Eddie KesslerDirectorDeepMind
Zico KolterChief Data ScientistC3 IoT
Dileep GeorgeCo-FounderVicarious
Omar TawakolFounder and CEOVoicera
Dekang LinCo-Founder and CTONaturali
Frank ChenPartnerAndreessen Horowitz
Roland MemisevicChief Scientist and
Co-Founder
TwentyBN
Ashutosh GargCEO and FounderVolkscience
Ambarish KengheChief Product OfficerMyntra
Andy PandharikarCEO and Co-founderCommerce.AI
Moderators
T.M. RaviManaging Director
& Founder
The Hive
Kartik HosanagarProfessorWharton School
Xuezhao LanFounding PartnerBasis Set Ventures
Schedule

In this three-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
Personal Assistants
Alex AceroSr. DirectorApple Siri
Ruhi SarikayaDirectorAmazon Alexa
Personal Assistants
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 speaker from Google Assistant.
Ruhi Sarikaya : Natural Language Interaction Challenges for Intelligent Personal Assistants
There are three fundamental challenges in interacting with the applications and services running behind intelligent personal assistants (IPAs): 1) application/service discovery, 2) learning what these applications can do, and 3) limited information flow into the apps/services. This same challanges manifests itself in all AI enabled systems. For example, users do not know what skills/apps exists that can handle their requests and they also do not know how to interact with those skills/apps in a natural way. Additionally, these systems have limited ability for contextual conversational understanding. We discuss these issues and explain what is needed to truly understand the user’s intent and serve the most relevant answer for the user’s request.
11:30 - 12:30pm
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?
Dileep George : Opportunities and challenges for robot manipulation
Progress in artificial intelligence is starting to give robots the ability to perceive their environment. While deep learning has created classification systems that exceed human abilities in certain domains, manipulation tasks require a richer understanding of the world than classification or detection. To this end, Vicarious focuses on building systems with greater data efficiency, flexibility of reasoning, and transfer of knowledge between tasks. Combining task relevant features from deep learning with active perception, handling of uncertainty, and closed loop planning can mitigate many of the commonly encountered errors in robot manipulation. I'll describe our progress, the opportunities we are exploring, and the problems that remain to be solved.
Kaijen Hsiao : Adorable Intelligence
Join us to hear how we created Kuri, the world’s most adorable home robot, and how cuteness and machine learning algorithms come together in creating a 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.
12:30 - 1:30pm
Lunch
1:30-3:00pm
Video Understanding
Rahul SukthankarHead of Video UnderstandingGoogle
Manohar PaluriManager of
Computer Vision
Facebook
Xiaofeng RenChief ScientistAlibaba
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.
Rahul Sukthankar : Large-Scale Video Understanding: YouTube and Beyond
This talk will present some recent advances in video understanding at Google. It will cover the technology behind progress in applications such as large-scale video annotation for YouTube, video summarization and Motion Stills, as well as our research in weakly-supervised learning, domain adaptation from YouTube to Google Photos and action recognition. I will also give my perspective on promising directions for future research in video.
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.
Xiaofeng Ren : The Quest for Video Understanding
In this talk I will briefly discuss the ubiquitous needs of video and video understanding across Alibaba and the challenges that are being addressed and solved at iDST, Alibaba's AI R&D division. Examples include mobile shopping on Taobao, video search and recommendation on Youku and Tudou, and real-time systems for Cainiao Logistics and City Brain.
3:00-3:15pm
Industry talk
James ManyikaChairman and DirectorMcKinsey Global Institute
Industry talk
McKinsey report on the impact of AI.
3:15-3:40pm
Coffee Break
3:40-4:40pm
Autonomous Driving
Danny ShapiroSr. Director of AutomotiveNvidia
Jeff SchneiderDirectorUber
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.
4:40-5:05pm
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.
5:10-6:10pm
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
9:00-9:30am
Morning Keynote
Frank ChenPartnerAndreessen Horowitz
Morning Keynote
Frank Chen : Startups and AI
Isn't AI going to be dominated by the big companies like Google and Amazon and Microsoft and Baidu? What can startups do to thrive in this ecosystem? What are investors looking for when they meet AI-powered startups? Should startups with AI inside think about their go-to-market process any differently from other startups? Frank Chen from Andreessen Horowitz will tackle these and other AI startup questions in this session.
9:30-10:30am
Morning Talks Session 1
Dekang LinCo-Founder and CTONaturali
Omar TawakolFounder and CEOVoicera
Morning Talks Session 1
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
11:00-11:30pm
Training Machines to Design Fashion
Ambarish KengheChief Product OfficerMyntra
Training Machines to Design Fashion
Fashion is partly an Art and that makes it difficult to understand and create through machines. Myntra is using modern AI techniques to crack this problem and is now able to design many fashion article through machines with no designer intervention whatsoever. This is more than an experiment; we are selling these on our platform with great success. Myntra's Chief Product Office will talk about how they have achieved this and what is next. This can have broad applicability for design in other fields as well. He will also touch on AI techniques Myntra is leveraging to create significant impact of other parts of their business.
11:30-12:00pm
Morning Talks Session 2
Andy PandharikarCEO and Co-founderCommerce.AI
Morning Talks Session 2
Presentations and Demos from exciting AI startups.
Morning Talks: Leading startup founders or CTOs to speak on their products.
12:00-12:30pm
Deep Learning and the Digital Transformation
Zico KolterChief Data ScientistC3 IoT
Deep Learning and the Digital Transformation
We are in the midst of a digital transformation: a shift in virtually every industry based upon ubiquitous sensing (IoT), hugely scalable computing, vast amounts of data, and artificial intelligence. At C3 IoT, we have developed a platform to enable and accelerate this digital transformation, used by our customers across multiple industry sectors. This talk will focus on the role of deep learning within this platform, which provides the "algorithmic glue" to unlock value in enterprise digital transformations. Using the C3 IoT Platform, data scientists can rapidly develop and deploy scalable deep learning services that run against all relevant enterprise data and capture business value in production settings. I will specifically focus on the role of deep learning in "non-traditional" settings (that is, domains that don't involve images, speech, or language). I will highlight C3 IoT's work using deep learning to both detect fraud and predict and forecast failures. Across the board, deep learning enables better performance with substantially less human engineering than traditional methods, and offers the potential for truly universal analysis of data.
12:30-1:30pm
Lunch
1:30-3:00pm
Afternoon Talks
Roland MemisevicChief Scientist and
Co-Founder
TwentyBN
Ashutosh GargCEO and FounderVolkscience
Afternoon Talks
Presentations and Demos from exciting AI startups.
Afternoon Talks: Leading startup founders or CTOs to speak on their products.
Roland Memisevic : Common sense video understanding at TwentyBN
Deep learning has evolved not linearly but through a series of step-functions: sudden unexpected outbreaks of capability, which fundamentally changed the envelope of what computers are able to do. At TwentyBN, we have created spatio-temporal video models and data infrastructure that allowed us to grow approximately one million labeled videos showing everyday common-sense scenes and situations - many of them extremely subtle. This allowed us to successfully train neural networks end-to-end on a wide range of action understanding tasks, that neither hand-engineering nor neural networks had appeared anywhere near solving just a few months ago. I will show how these recognition tasks now drive commercial value at TwentyBN, and how they drive our long-term AI agenda for learning common sense world knowledge through video.
Ashutosh Garg : AI will take jobs away or will bring the right job to people
50% of unemployment in US is because qualified people are not getting matched to right jobs. Many diversity candidates get filtered out because of inherent bias in our interview process. While most people are worried about AI taking over their job, AI can help people get the job they deserve. People's career trajectory is a fascinating time series data. Will show you how one can use AI on top of this data to predict what people will do next in their career. This can then be used by enterprises to optimize their hiring process.
3:00-3:30pm
Break
3:30-5:10pm
Startup Demo Session
Frank ChenPartnerAndreessen Horowitz
Samir KumarManaging DirectorMicrosoft Ventures
Ashmeet SidanaManaging PartnerEngineering Capital
Ankit JainFounding PartnerGradient Ventures
Startup Demo Session
Demos from 9 startups, each startup has 5 minutes for the demo and 5-minute comments from the VC panel.
Demo Startups:
  1. Redmarlin
    RRedMarlin protects brands from online infringement and abuse, monitors the internet, and detects fake websites in real-time.
    Presenter: Abhishek Dubey, Co-founder & CEO; Shashi Prakash, Co-founder & Chief Scientist
  2. TrueShelfTrueShelf
    TrueShelf is an AI powered adaptive learning platform that adaptively generates an unlimited number of problems.
    Presenter: Dr. Shiva Kintali, Founder & CEO
  3. RFNav
    RFNav is developing an autonomous vehicle navigation system to allow driving in all weather conditions.
    Presenter: Jim Schoenduve, Director of Strategy
  4. AFanta
    AFanta develops cutting-edge video processing technologies to create video social experiences and accelerate VR adoption.
    Presenter: Yang Qin, CEO
  5. 3DLook
    3DLOOK uses computer vision, deep learning and 3D matching algorithms to build SAIA, the first product for the retail industry, with high accuracy of human body measurements of up to 98%.
    Presenter: Vadim Rogovskiy, CEO & Co-founder
  6. intensivate
    Intensivate produces a 4U rackmount box that replaces 120 Intel based servers. Intensivate is the server of choice for CPU based AI applications.
    Presenter: Sean Halle, Founder and CEO
  7. Peritus
    Peritus is a virtual expert for AI-driven automation of support delivery and incident resolution for datacenters, telco networks and industrial operations.
    Presenter: Santhosh Srinivasan, Cofounder & VP, Engineering; Kamesh Raghavendra, Cofounder & VP, Product
  8. Cerebri
    CerebriAI looks at existing customer journey sequences as well as associated demographics to predict and produce desired sales outcomes.
    Presenter: Mark Castleman, SVP Strategy & Product
  9. decisionEngine
    Decision Engines is an intelligent end to end business process automation platform that automates human touch points in business processes.
    Presenter: Sridhar Gunapu, Co-Founder

VC Panelists:
  • Frank Chen, Partner at Andreessen Horowitz
  • Samir Kumar, Managing Director at Microsoft Ventures
  • Ashmeet Sidana, Managing Partner at Engineering Capital
  • Ankit Jain, Founding Partner at Gradient Ventures
Day 3November 5, 2017
8:30am-12:30pm
Training - Natural Language Processing
SK ReddyChief Product Officer
AI & ML
Digitalist Group
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
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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