AI By the Bay has ended
Monday, March 6

8:40am PST

Grand Welcome and Opening Remarks
Dr. Alexy Khrabrov, the founder and organizer of By the Bay family of conferences, opens the conference and outlines the three-day exploration of AI to follow.

avatar for Alexy Khrabrov

Alexy Khrabrov

Program Chair, Reactive Summit

Monday March 6, 2017 8:40am - 8:50am PST

8:50am PST

IBM: Host Sponsor Welcome
IBM is the Host Sponsor of AI By the Bay, enabling cognitive computing on global scale.

avatar for Joel Horwitz

Joel Horwitz

Vice President, Ecosystem & Partnership Development, IBM
VP of Ecosystem and Partnerships, Digital Business, IBM

Monday March 6, 2017 8:50am - 9:00am PST

9:00am PST

Machine Learning, The Right Way
Getting started with data science and Machine Learning is a chicken and egg thing. Do I have enough data to even do data science? Which use cases should I start with? It can be intimidating. Vitaly Gordon, VP of Engineering and Data Science at Salesforce Einstein, will give you the tips you need to get a right start with the right people - at the right time. He will discuss Machine Learning technology but also tell you what data you need, and what business use cases you should start with.

avatar for Vitaly Gordon

Vitaly Gordon

VP of Engineering and Data Science, Salesforce Einstein
VP of Engineering and Data Science at Salesforce Einstein

Monday March 6, 2017 9:00am - 9:40am PST

9:50am PST

Deep Learning with the GPUs in Production
avatar for Adam Gibson

Adam Gibson

CTO, Skymind

Monday March 6, 2017 9:50am - 10:30am PST

10:40am PST

Attention and Memory in Deep Learning Networks
Attention and memory in Neural Networks.

avatar for Stephen Merity

Stephen Merity

Senior Research Scientist, Salesforce Research
Stephen Merity is a senior research scientist at MetaMind, part of Salesforce Research, where he works on researching and implementing deep learning models for vision and text, with a focus on memory networks and neural attention mechanisms for computer vision and natural language... Read More →

Monday March 6, 2017 10:40am - 11:20am PST

11:30am PST

Deep Learning is Like Water (it's Everywhere!)
Deep Learning with H2O.ai, the most performant distributed system for Machine Learning

avatar for Arno Candel

Arno Candel

Chief Architect, H2O.ai
Dr. Arno Candel is the CTO at H2O.ai, the makers of the distributed and scalable open-source machine-learning platform H2O. Arno is also the main author of H2O’s Deep Learning and key contributor to H2O's GBM and DRF algorithms. Arno spent the last 5+ years designing and implementing... Read More →

Monday March 6, 2017 11:30am - 12:10pm PST

1:00pm PST

Deploying and Scaling Spark ML and Tensorflow AI Models
In this talk, I will train, deploy, and scale Spark ML and Tensorflow AI Models in a distributed, hybrid-cloud and on-premise production environment. I will use 100% open source tools including Tensorflow, Spark ML, Jupyter Notebook, Docker, Kubernetes, and NetflixOSS Microservices. This talk discusses the trade-offs of mutable vs. immutable model deployments, on-the-fly JVM byte-code generation, global request batching, miroservice circuit breakers, and dynamic cluster scaling - all from within a Jupyter notebook. All code and docker images are 100% open source and available from Github and DockerHub at http://pipeline.io.

avatar for Chris Fregly

Chris Fregly

Solution Architect, AI and machine learning, AWS

Monday March 6, 2017 1:00pm - 1:30pm PST

1:40pm PST

The Advantages of Deep Learning with Recurrent Neural Networks for Real Time Anomaly Detection
In this session we will go through several tactics for anomaly detection with sequential and non-sequential data sets. We will review the advantages and disadvantages of these tactics, analyze an overall end to end strategy for real time anomaly detection, and explore the benefits of leveraging RNN architecture as a part of this strategy.

avatar for Mike Tamir

Mike Tamir

Chief Data Science Officer, Uber ATG

Monday March 6, 2017 1:40pm - 2:10pm PST

2:20pm PST

AI at Stitch Fix
I'll review applied deep learning techniques we use at Stitch Fix to understand our client's personal style. Interpretable deep learning models are not only useful to scientists, but lead to better client experiences -- no one wants to interact with a black box virtual assistant. We do this in several ways. We've extended factorization machines with variational techniques, which allows us to learn quickly by finding the most polarizing examples. And by enforcing sparsity in our models, we have RNNs and CNNs that reveal how they function. The result is a dynamic machine that learns quickly and challenges our clients' styles.

Chris Moody came from a Physics background from Caltech and UCSC, and is now a scientist at Stitch Fix. He has an avid interest in NLP, has dabbled in deep learning, variational methods, and Gaussian Processes. He's contributed to the Chainer deep learning library (http://chainer.org/), the super-fast Barnes-Hut version of t-SNE to scikit-learn (http://scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html) and written (one of the few!) sparse tensor factorization libraries in Python (https://github.com/stitchfix/ntflib). Lately he's been working on lda2vec (https://lda2vec.readthedocs.org/en/latest/) and variational forms of t-SNE. 

avatar for Chris Moody

Chris Moody

Scientist, Stich Fix
Scientist, Stitch Fix

Monday March 6, 2017 2:20pm - 2:50pm PST

3:00pm PST

BachBot: Composing Bach Chorales using Deep Learning
Can musical creativity, something believed to be deeply human, be codified into an algorithm? While most music theorists are hesitant to claim a "correct" algorithm for composing music like Bach, recent advances in machine learning and computational musicology may help us reach an answer. In this talk, we describe BachBot: an artificial intelligence which uses deep learning and long short term memory (LSTM) to compose music in the style of Bach. We train BachBot on all known Bach chorale harmonisations and carry out the largest musical Turing test to date. Our results show that the average listener can distinguish BachBot from real Bach only 5% better than random guessing, suggesting that algorithmic composition of Bach chorales is more closed (as a result of BachBot) than open a problem.

avatar for Feynman Liang

Feynman Liang

Director of Engineering, Gigster
Feynman is the engineering manager at Gigster and a statistics PhD student at UC Berkeley. His research lies at the intersection between industry and academia, focusing on distributed machine learning and practical systems for deploying machine learning in production. He is a contributor... Read More →

Monday March 6, 2017 3:00pm - 3:30pm PST

3:30pm PST

Developing and Deploying Models at Scale — without Spark!
Looking for a break after an endless stream of talks about Spark? We'll do a live demo of developing and deploying a predictive model using an easy-to-use, Spark-less platform. We'll show how standard cloud compute resources let you train models using terabytes of RAM, and we'll demo deploying a model and serving requests at web scale, with horizontal scalability and high availability. Benefits of the approach we'll demonstrate include: (a) flexibility to use arbitrary R and Python development without shoehorning work into Spark; (b) simpler infrastructure management by avoiding distributed computing; (c) better performance for problems that are merely "medium data" rather than legitimately "big" data.

avatar for Eduardo Ariño de la Rubia

Eduardo Ariño de la Rubia

Chief Data Scientist in Residence, Domino Data Lab
Eduardo Arino de la Rubia is Chief Data Scientist at Domino Data Lab. Eduardo is a lifelong technologist with a passion for data science who thrives on effectively communicating data-driven insights throughout an organization. He is a graduate of the MTSU Computer Science department... Read More →

Monday March 6, 2017 3:30pm - 4:00pm PST

4:10pm PST

State of AI: Chatbots, Robots & Virtual Reality, Oh My!
Artificial Intelligence is quickly moving from science fiction to science fact, and IBM Watson is not alone in offering machine learning algorithms in easy to consume REST API forms for developers to consume. But in this nascent industry it can be hard to understand the differences between different approaches along with the value of "AI." Drawing on a number of real-world examples, Michael Ludden explains how "Artificial Intelligence" (in quotes for a reason) can and is already being leveraged by developers to reduce the need for teams of data scientists, create insane new applications and services, and allow for personalized experiences that border on creepy. More importantly we'll give a realistic look at the immediate future of the space and some helpful guidance as we rapidly begin to live the futurist novels we read last year.

avatar for Michael Ludden

Michael Ludden

IBM Watson Developer Labs Program Director, IBM
Michael Ludden is the IBM Watson Developer Labs Program Director and Senior Product Manager. Previously, Michael was Lead Developer Marketing Manager at Google, Head of Developer Marketing at Samsung, a Developer Evangelist at HTC, Global Director of Developer Relations at startups... Read More →

Monday March 6, 2017 4:10pm - 4:50pm PST

5:00pm PST

AI: from an Idea to the Customer Panel
The Idea to the Customer panel takes several companies through the journeys of data-driven business, and covers many aspects of a live AI strategy touching customers. How do you think of Machine Learning and AI being a key part of your business, and how do you execute on it? What do you find along the way? Our distinguished panelists will share their own experiences.

avatar for Alexy Khrabrov

Alexy Khrabrov

Program Chair, Reactive Summit

avatar for Sara Asher

Sara Asher

Director of Product at Salesforce Einstein, Salesforce
Sara is a Director of Product Management for Salesforce Einstein, where she creates products that let people build smarter applications with Salesforce and advanced AI. Prior to Salesforce, Sara worked at Alpine Data where she was chief product manager and founding director of Alpine... Read More →
avatar for Daniel Golden

Daniel Golden

Senior Image Scientist, Arterys, Inc.
Dan is the Director of Machine Learning at Arterys, a startup focused on streamlining the practice of medical image interpretation and post-processing. After receiving a PhD in Electrical Engineering from Stanford, he stuck around for a postdoc, focusing on using machine learning... Read More →
avatar for Leon Katsnelson

Leon Katsnelson

Director & CTO, Analytic Platform Emerging Technologies, IBM
I am a serial Intrepreneur with a number of very successful projects to my credit. My responsibility is to push frontiers of technology to create next generation products in the area of Big Data, Data Analytics and Data Science. A technologist at heart, I focus on value creation using... Read More →
avatar for Gabor Melli

Gabor Melli

Senior Director of Engineering (ML&AI), Sony PlayStation
Large-Scale On-Demand Predictive Models for Customer ExperienceDomain-Specific Natural Language Understanding
avatar for Xin Wei Ngiam

Xin Wei Ngiam

Director of Corporate Strategy, Grab, and Regional Head, GrabHitch, for Singapore, Kuala Lumpur (Malaysia) and Jakarta (Indonesia)

Monday March 6, 2017 5:00pm - 6:00pm PST

6:00pm PST

Tuesday, March 7

9:00am PST

Keynote: AI and Self-Driving Cars
Self-driving cars have AI at heart. Deep Learning enables this AI, and new computing approaches are required to make it a reality.

avatar for Danny Shapiro

Danny Shapiro

Senior Director of Automotive, Nvidia
Danny Shapiro is senior director of Automotive at NVIDIA, focusing on solutions that enable faster and better design of automobiles, as well as in-vehicle solutions for self-driving cars, infotainment systems and digital instrument clusters. He serves on the advisory boards of the... Read More →

Tuesday March 7, 2017 9:00am - 9:40am PST

9:50am PST

Technical Challenges of Self-Driving Trucks
Jur van den Berg, PhD, will focus his talk on specific technical challenges in motion planning and control for trucks versus personal vehicles. In particular, he will discuss from an engineer’s perspective a few of the technical challenges that present themselves during the development of a self-driving truck. Examples of technical challenges include staying in lane, turning radius, discerning a stopped vehicle from a non-stopped vehicle, and speed control on hills or mountains. Jur will be applying his discussion in the context of Otto’s recent history-making feat of completing 120 continuous autonomous highway miles to deliver 50,000 cans of Budweiser in Colorado.

avatar for Jur van den Berg

Jur van den Berg

Jur van den Berg is a founding employee of the start up Otto, which started in the beginning of 2016 to develop technology, software, and infrastructure for self-driving trucks. Otto was recently acquired by Uber, where Jur is now officially a senior staff engineer. Jur has expertise... Read More →

Tuesday March 7, 2017 9:50am - 10:30am PST

10:40am PST

Self-Driving Lessons from Comma AI
avatar for George Hotz

George Hotz

CEO, Comma.ai
George first became known at 17 when he developed a procedure to unlock the original iPhone. Then the PS3. Then the Chromebook. But it's time to build. AI, the final frontier. Start simple. Just self driving cars. He is founder and CEO of comma.ai, building and open sourcing aftermarket... Read More →

Tuesday March 7, 2017 10:40am - 11:20am PST

11:30am PST

Autonomous Vehicles 101
This step-by-step guide, on how to create your own Autonomous Vehicle, addresses the fundamental considerations and decisions that need to be made when starting the journey of developing one owns Autonomous Vehicle. The first and most important step is to define the purpose for the autonomous vehicle, which will in return specify the vehicle type, velocity, holding capacity and the type of traffic environment to be expected. Based on those specifications the next step is the selection of the appropriate perception sensors and ways of digesting the data from these sensors in real time using capable software and computing platforms. Step number three defines on how to control the vehicle, which can be fully electronically with a by-wire system or by adding computer controlled motors and actuators on a regular non-by-wire vehicle to enable it for autonomy. The last step is the most challenging, as it involves actual intelligence to define the necessary decision making for steering, acceleration, and braking in varying traffic situations. A modular algorithm approach allows the user to combine different modules to adapt to the chosen autonomy scenario.

avatar for Wolfgang Juchmann

Wolfgang Juchmann

VP of Sales & Business Development, AutonomousStuff
Wolfgang Juchmann, Ph.D. has more than 16 years of international experience in technical sales, product management and business development of high-tech products for a variety of applications. Wolfgang became more involved with autonomous vehicles and perception sensors for ADAS and... Read More →

Tuesday March 7, 2017 11:30am - 12:10pm PST

1:10pm PST

Bringing Automated Driving Software to the Production Vehicle: Challenges and Opportunities
Many of the tools and processes at the core of autonomous driving technologies were developed in research labs and universities. With the industry reaching a new level of maturity, these tools need to “grow up” in order to meet the challenging requirements of production vehicles. These infrastructure components will form the basis of a new software ecosystem that combines the scale of modern data centers with the rigorous safety requirements of aircraft. We explore the results of extensive customer discovery, summarizing the various approaches and identifying some opportunities to accelerate development.

avatar for Josh Hartung

Josh Hartung

Co-founder and CEO, PolySync
Josh Hartung is the CEO and Co-Founder of PolySync, the company that is building an operating system on the forefront of the autonomous car movement. Josh started PolySync because of insights he developed while working with some of the world’s most accomplished automated driving... Read More →

Tuesday March 7, 2017 1:10pm - 1:40pm PST

1:50pm PST

The Role of High Definition 3D LiDAR in Self Driving Cars
Velodyne is the maker of the LiDAR used on all top self-driving cars.

avatar for John Eggert

John Eggert

Director, Automotive Sales & Marketing, Velodyne
John Eggert has more than 20 years of international experience in program management and sales and marketing management of products for the automotive industry, including automotive interiors and passive safety components and systems. His curiosity about the trends and technologies... Read More →

Tuesday March 7, 2017 1:50pm - 2:20pm PST

2:30pm PST

Becoming a Self-Driving Car Engineer
Companies ranging from Google to Tesla to NVIDIA are on the hunt for great engineers to build self-driving cars. Learn how to acquire the skills to work in one of the most exciting fields of software engineering!

avatar for David Silver

David Silver

Team Lead, Self-Driving Cars Nanodegree, Udacity
David Silver leads the Self-Driving Car Team at Udacity, which is launching a nine-month program to train engineers to work in the autonomous vehicle industry. Prior to Udacity, David was a Research Engineer at Ford Motor Company. Before Ford, David worked in engineering and product... Read More →

Tuesday March 7, 2017 2:30pm - 3:00pm PST

3:10pm PST

Autonomy at Scale: The Need for Interop
Renovo provides an automotive-grade platform to support fully autonomous (SAE Level 5) vehicles in delivering a trusted, reliable, and affordable mobility-on-demand services.

avatar for Christopher Heiser

Christopher Heiser

Co-founder and CEO, Renovo
Christopher Heiser is co-founder and CEO of Renovo, a Silicon Valley technology company focused on the challenges of Autonomous Mobility on Demand (AMoD). He has built his career taking disruptive technologies to market; his previous roles include pioneering the camera phone (LightSurf... Read More →

Tuesday March 7, 2017 3:10pm - 3:40pm PST

3:50pm PST

Starsky Robotics: ↑↑↓↓← → ← → Autonomous
Starsky Robotics is an 11-person driverless truck startup which, by using a series of cheats and hacks, has already moved freight on the highway. CEO Stefan Seltz-Axmacher and CTO Kartik Tiwari will discuss how business and tech sides can work together to constrain a difficult problem into an incredibly feasible solution.

avatar for Stefan Seltz-Axmacher

Stefan Seltz-Axmacher

Founder and CEO, Starsky Robotics
Stefan Seltz-Axmacher is CEO and Founder of Starsky Robotics. The company is backed by Y-Combinator, Trucks.vc, Data Collective, Joe Montana, the founders of Access America and many other top tier investors.Prior to founding Starsky Robotics; Stefan worked with a number of Silicon... Read More →
avatar for Kartik Tiwari

Kartik Tiwari

Co-Founder and CTO, Starasky Robotics
Kartik Tiwari is the CTO and co-founder of Starsky Robotics. He has a background in Robotics from Carnegie Mellon University and previously was the CEO of UpDroid, a consumer robotics startup.

Tuesday March 7, 2017 3:50pm - 4:20pm PST

4:30pm PST

Building Training Data for Autonomous Driving
Building training data for computer vision models that can detect and recognize foreground objects in images like trees, pedestrians and bicyclists is one thing. But building training data for autonomous driving—which must see everything going on in the scene from the objects to the environment itself—is quite another. Say you have a photo of a street scene with multiple cars, pedestrians, trees, sky, road, etc. How do you label objects that aren’t as simple to define, like the gaps in the trees with sky in between them? What about defining the percentage of the sky in an image of the same road when the leaves are in full bloom vs. when they’ve fallen to the ground? Or what about snow on the ground: do you tag the snow, the ground, or both? It challenged Mighty AI to reconsider its entire image-labeling workflow. In this presentation, Mighty AI Founder & CTO Daryn Nakhuda will drill into the challenges of creating semantic segmentation masks, including workflow design and annotation tools, as well as how to perform these tasks at scale.

avatar for Daryn Nakhuda

Daryn Nakhuda

Founder and CTO, Mighty AI
Daryn serves as the CTO of Mighty AI, a Seattle-based startup that delivers the training data companies need to build computer vision and natural language models. Daryn has worked in a variety of technical roles in the Internet/Web industry for the past 20 years. Prior to cofounding... Read More →

Tuesday March 7, 2017 4:30pm - 5:00pm PST

5:00pm PST

Panel: Smart Cars and Smart Cities
This panel will explore a range of topics combining self-driving AI, smart cities, urban development, and legal and policy implications.

avatar for Mark Harris

Mark Harris

Reporter, Backchannel
Mark Harris is an investigative technology reporter based in Seattle, writing regularly for The Guardian, Backchannel, Recode, MIT Technology Review and IEEE Spectrum. He has broken many stories about self-driving vehicles, including exclusives about Google, Apple, Uber, Otto, Tesla... Read More →

avatar for William Baumgardner

William Baumgardner

Director, Americas Transport and Mobility Business, Arup
Will directs the Arup Americas Transport and Mobility Business out of San Francisco where he also leads the local Planning Practice. An engineer by training, he applies his technical background to site, campus, corridor, and regional planning efforts. He is at the forefront of rapidly... Read More →
avatar for Doug Davenport

Doug Davenport

Prospect Silicon Valley (Jan 2017), Founder and former CEO
Doug Davenport founded Prospect Silicon Valley, a nonprofit urbantech innovation hub bringing startups and product teams with government agencies to accelerate innovation in transportation, energy and environment. As the founding CEO, he advised numerous clients and partners from... Read More →
avatar for Ted Graham

Ted Graham

Head of Open Innovation, General Motors
Ted Graham was recently appointed he Head of Open Innovation at General Motors where he works with outside partners to solve important problems that will shape the future of transportation (including AI more generally, and specifically autonomous, shared and connected vehicles). Previous... Read More →
avatar for Elliot Katz

Elliot Katz

Autonomous Vehicle, Data Privacy & Litigation Attorney, DLA Piper
Elliot is Global Co-Chair of DLA Piper's Connected and Self-Driving Car Practice. In that role he advises automakers, tech companies, and municipalities on regulatory, policy, and privacy issues pertaining to these types of vehicles. Elliot regularly speaks and writes on self-driving... Read More →
avatar for Aleksandar Kojic

Aleksandar Kojic

Engineering Director and Site Leader, Advanced Automotive Systems, Delphi Labs Silicon Valley
Automated Driving, R&D leadership Energy storage (for automotive and stationary applications), control systems, combustion, CFD simulation, ab-initio simulation, MEMS. Passion for autonomous vehicles, machine learning, renewable energy, electric vehicles, high-performance computing... Read More →
avatar for Karen Tay

Karen Tay

Director, Smart Nation (North America)
Karen Tay is Singapore’s Smart Nation Director covering North America. She is experienced in policy, strategy, engagement and regulation across a variety of public sector domains. Prior to her current job, she worked in the Finance and Education Ministries and the Prime Minister’s Office... Read More →

Tuesday March 7, 2017 5:00pm - 6:00pm PST

6:00pm PST

Rooftop Party Overlooking the Bay: Food, Drinks, AI!
Tuesday March 7, 2017 6:00pm - 8:00pm PST
Wednesday, March 8

9:00am PST

The Future of (Artificial) Intelligence
The news media in recent months have been full of dire warnings about
the risk that AI poses to the human race, coming from well-known
figures such as Stephen Hawking, Frank Wilczek, and Elon Musk.  Should
we be concerned? If so, what can we do about it?  While some in the
mainstream AI community dismiss these concerns, I will argue instead
that a fundamental reorientation of the field is required.

avatar for Stuart Russell

Stuart Russell

Professor of Computer Science, UC Berkeley
Stuart Russell works on fundamental problems in AI including theoretical foundations of rationality, the interaction of knowledge and learning, the unification of logic and probability, planning under uncertainty, and decision making over long time scales. In collaboration with UCSF... Read More →

Wednesday March 8, 2017 9:00am - 9:40am PST

9:50am PST

Advances in Deep Learning for Mathematical Theorem Proving
We'll explore how Deep Learning can be used for proving mathematical theorems, and its wide-reaching implications.

avatar for Francois Chollet

Francois Chollet

Francois is the author of Keras, one of the most widely used libraries for deep learning in Python. He has been working with deep neural networks since 2012. Francois is currently doing deep learning research at Google. He blogs about deep learning at blog.keras.io.

Wednesday March 8, 2017 9:50am - 10:30am PST

10:40am PST

Machine Learning Startups
Bradford reviews all 4 of the Machine Learning startups he started since 2008 and distills some themes for the future. It's technical but is pretty high level.

avatar for Bradford Cross

Bradford Cross

Founding Partner, DCVC
Bradford starts and invests in machine learning and AI-driven companies as a Partner at DCVC. His current focus is fintech and insurance, applications of compute-driven healthcare and biotech, and machine vision in general. Bradford founded two machine learning startups since 2009... Read More →

Wednesday March 8, 2017 10:40am - 11:30am PST

11:30am PST

AI VC Panel
The AI VC panel consists of experienced VCs investing in AI startups. They will distill, essentially, what works -- in the tech, in industry, in the marketplace.

avatar for Alexy Khrabrov

Alexy Khrabrov

Program Chair, Reactive Summit

avatar for David Beyer

David Beyer

Partner, Amplify Partners
David brings a wealth of experience to Amplify Partners as both a venture-backed entrepreneur and an active early-stage investor. He began his career in technology as the co-founder and CEO of Chartio.com, a pioneering provider of cloud-based data visualization and analytics. He... Read More →
avatar for Bradford Cross

Bradford Cross

Founding Partner, DCVC
Bradford starts and invests in machine learning and AI-driven companies as a Partner at DCVC. His current focus is fintech and insurance, applications of compute-driven healthcare and biotech, and machine vision in general. Bradford founded two machine learning startups since 2009... Read More →
avatar for Jake Flomenberg

Jake Flomenberg

Partner, Accel
Jake Flomenberg joined Accel in 2012 and focuses on next-generation infrastructure, enterprise software, and security investments.Jake is part of the team responsible for Accel's Big Data Fund and led investments in Demisto, Origami Logic, Sumo Logic, Trifacta and Zoomdata. Prior... Read More →
avatar for Adam Kell

Adam Kell

Partner, Comet Labs
Adam is a product guy. He is an investment partner at Comet Labs, a cross between a venture fund and experimental research lab that focuses on AI and robotics. Adam previously co-founded a consumer electronics company, which designs, manufactures, and sells mobile phone accessories... Read More →
avatar for Benjamin Levy

Benjamin Levy

Co-Founder, BootstrapLabs
Ben is the Co­Founder of BootstrapLabs, a leading venture capital firm, based in Silicon Valley and focused on Applied Artificial Intelligence. Some of BootstrapLabs’ portfolio companies include Prezi, AngelList, Zerply, Trusted Insight, AEye, Qurious.io, Roger.ai, Vidora, and... Read More →
avatar for Jean Xin

Jean Xin

Partner, DCVC
At Data Collective, Jean focuses on applying artificial intelligence to novel and high-impact problems in the real world, as well as improving the workplace through better enterprise technology. Prior to joining DCVC, she worked at McKinsey & Company, where she advised executive teams... Read More →

Wednesday March 8, 2017 11:30am - 12:10pm PST

1:00pm PST

Computer Vision for Coders
Nowadays computer vision is synonymous with deep learning - and deep learning is widely viewed as an exclusive world for a handful of genius PhD graduates. But need this really be the case? In this talk, Jeremy Howard will discuss his experiences in teaching cutting edge deep learning (with a focus on computer vision) to 100 coders with no specialist math background. He will provide concrete recommendations for those looking to enter the deep learning world, but aren't sure where to start.

avatar for Jeremy Howard

Jeremy Howard

Founder, fastai
Founder, Fast.ai

Wednesday March 8, 2017 1:00pm - 1:40pm PST

1:50pm PST

Measuring AI Capabilities with OpenAI Gym & Universe
OpenAI recently launched Universe, a platform for evaluating and training intelligent agents across the world's supply of games, websites and other applications. In this talk, we explore Universe, and the types of questions that it allows us to answer.

avatar for Tom Brown

Tom Brown

Member of Technical Staff, OpenAI
Tom was the founder of Grouper Social Club, which used AI to match people up for drinks based off their Facebook data. Grouper was backed by YCombinator and served over 1MM Drinks. Before that, Tom was a founding engineer at MoPub, where he scaled their core adserving API to 1.5B... Read More →

Wednesday March 8, 2017 1:50pm - 2:30pm PST

2:40pm PST

Tackling the Limits of Deep Learning
Deep learning has made great progress in a variety of language tasks. However, there are still many practical and theoretical problems and limitations. In this talk I will introduce solutions to some of these: How to predict previously unseen words at test time. How to have a single input and output encoding for words. How to grow a single model for many tasks. How to use a single end-to-end trainable architecture for question answering.

avatar for Richard Socher

Richard Socher

Chief Scientist, Salesforce
Richard Socher is the Chief Scientist at Salesforce. Prior he was the CEO and founder of MetaMind, a startup which was recently acquired by Salesforce. MetaMind seeks to improve artificial intelligence and make it widely accessible. He obtained his PhD from Stanford working on deep... Read More →

Wednesday March 8, 2017 2:40pm - 3:20pm PST

3:30pm PST

Measuring Psychological Traits using Social Media
The words and impages people post on social media such as Twitter and Facebook provide a rich, if imperfect view of who they are and what they care about. We show how to analyze social media to predict people's age, gender, personality, and mental health. Such methods are increasingly used for applications ranging from job candidate screening to targeted marketing.

avatar for Lyle Ungar

Lyle Ungar

Professor, University of Pennsylvania
Prof. Ungar's research group at UPenn develops scalable machine learning and text mining methods, including clustering, feature selection, and semi-supervised and multi-task learning for natural language, psychology, and medical research. Example projects include spectral learning... Read More →

Wednesday March 8, 2017 3:30pm - 4:10pm PST

4:20pm PST

Bots Panel
The Bots panel will tackle all the AI issues stemming from the rise of the intelligent bots.

avatar for Pete Skomoroch

Pete Skomoroch

Head of Data Products, Workday
Peter is Co-Founder and CEO of SkipFlag, which was acquired by Workday in 2018. Skipflag's technology uses your existing conversations, support tickets, and other communication to automatically build and update an enterprise knowledge base. It understands the people, topics, and facts... Read More →

avatar for Andrew Burgert

Andrew Burgert

CEO, Azumo
Andrew Burgert is CEO of Azumo, a San Francisco-based data and AI development firm helping companies build intelligent applications by focusing on natural language and conversational interfaces. Andrew has more than 20 years of experience in technology, private and public investing... Read More →
avatar for Yishay Carmiel

Yishay Carmiel

Head, Spoken Labs
Yishay Carmiel is the head of Spoken Labs, a big data analytics unit that implements bleeding-edge deep learning and machine-learning technologies for speech recognition, computer vision, NLP, and data analysis. Yishay and his team are working on state-of-the-art technologies in artificial... Read More →
avatar for Sonal Gupta

Sonal Gupta

Researcher, Viv Labs
Sonal Gupta is a natural language researcher at Viv Labs working on improving language understanding by virtual assistants. She has a PhD from Stanford where she worked on information extraction using weakly supervised learning techniques.
avatar for David Hall

David Hall

Research Scientist, Semantic Machines
Research Scientist, Semantic Machines
avatar for Dennis Yang

Dennis Yang

CoFounder & CPO, Dashbot
Dennis Yang is co-founder and CPO of Dashbot, an analytics platform for bots. Prior to Dashbot, he co-founded Bureau of Trade, a vintage marketplace (acquired by eBay), co-founded Techdirt, the popular technology blog, and was the ninth employee of both Infochimps (acquired by CSC... Read More →

Wednesday March 8, 2017 4:20pm - 5:00pm PST

5:10pm PST

The Real Future of AI Panel
Our conference is built by the full-stack AI people -- those who can both build it and define its future. Hear what it will be like, when built.

avatar for Alexy Khrabrov

Alexy Khrabrov

Program Chair, Reactive Summit

avatar for Lukas Biewald

Lukas Biewald

Founder & Chief Data Scientist, CrowdFlower
Lukas Biewald: CEO/Co-founder of CrowdFlower. He has worked as a Senior Scientist and Manager within the Ranking and Management Team at Powerset, Inc., a natural language search technology company later acquired by Microsoft, and also led the Search Relevance Team for Yahoo! Japan... Read More →
avatar for Shubha Nabar

Shubha Nabar

Senior Director, Data Science, Salesforce Einstein
Shubha Nabar is a senior director of data science at Salesforce Einstein, where she and her team enable the hundreds of thousands of Salesforce-driven businesses to make smarter decisions by providing advanced AI capabilities through the Salesforce platform. She has 8 years of experience... Read More →
avatar for Peter Norvig

Peter Norvig

Director of Research, Google
Peter Norvig is a Director of Research at Google Inc. Previously he was head of Google's core search algorithms group, and of NASA Ames's Computational Sciences Division, making him NASA's senior computer scientist. He received the NASA Exceptional Achievement Award in 2001. He has... Read More →
avatar for Stuart Russell

Stuart Russell

Professor of Computer Science, UC Berkeley
Stuart Russell works on fundamental problems in AI including theoretical foundations of rationality, the interaction of knowledge and learning, the unification of logic and probability, planning under uncertainty, and decision making over long time scales. In collaboration with UCSF... Read More →
avatar for Lyle Ungar

Lyle Ungar

Professor, University of Pennsylvania
Prof. Ungar's research group at UPenn develops scalable machine learning and text mining methods, including clustering, feature selection, and semi-supervised and multi-task learning for natural language, psychology, and medical research. Example projects include spectral learning... Read More →

Wednesday March 8, 2017 5:10pm - 6:00pm PST

6:00pm PST

Rooftop Party Overlooking the Bay: Food, Drinks, AI!
Wednesday March 8, 2017 6:00pm - 8:00pm PST
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