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Monday, March 6
 

8:40am

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.

Speakers
avatar for Alexy Khrabrov

Alexy Khrabrov

Chief Scientist, Cicero.AI
Dr. Alexy Khrabrov is a founder and organizer of Open-Source communities and conferences on Data Engineering, Artificial Intelligence, and Data Science. He is the Chief Scientist of Cicero.AI, a community-based research institute for AI. Dr. Khrabrov runs seven meetups in San Francisco: bay.area.ai, sfscala.org, sfspark.org, sfhadoop.org, reactive.community, sfgraphql.org, and saltops.org. He founded a series of technical conferences By the... Read More →


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

8:50am

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

Speakers
avatar for Joel Horwitz

Joel Horwitz

Vice President, Ecosystem & Partnership Development, IBM
Joel Horwitz is the Vice President, Ecosystem and Partnership Development, IBM. He graduated from the University of Washington in Seattle with a Masters in Nanotechnology with a focus in Molecular Electronics. He also hails from the University of Pittsburgh with an International MBA in Product Marketing and Financial Management. Joel designed, built, and launched new products at Intel and Datameer resulting in breakthrough innovations. He set and... Read More →


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

9:00am

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.

Speakers
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
Pearl

9:50am

Deep Learning with the GPUs in Production
Speakers
avatar for Adam Gibson

Adam Gibson

CTO, Skymind


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

10:40am

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

Speakers
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 processing tasks.


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

11:30am

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

Speakers
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 high-performance machine-learning algorithms. Previously, he spent a decade in high-performance computing and ran his code on the world’s largest... Read More →


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

1:00pm

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.

Speakers
avatar for Chris Fregly

Chris Fregly

Research Scientist, PipelineAI
Chris Fregly is a Research Scientist at PipelineIO - a Machine Learning and Artificial Intelligence Startup in San Francisco. | | Chris is an Apache Spark Contributor, Netflix Open Source Committer, Founder of the Advanced Spark and TensorFlow Meetup, Author of the upcoming book, Advanced Spark, and Creator of the upcoming O'Reilly video series, Deploying and Scaling Distributed TensorFlow in Production. | | Previously, Chris was a... Read More →


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

1:40pm

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.

Speakers
avatar for Mike Tamir

Mike Tamir

Chief Data Science Officer, Takt


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

2:20pm

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. 

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

3:00pm

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.

Speakers
avatar for Feynman Liang

Feynman Liang

Engineering Manager, 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 to Apache Spark and a recreational producer of electronic music. During his MPhil degree at Cambridge University, he collaborated with Microsoft Research... Read More →


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

3:30pm

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.

Speakers
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, General Assembly’s Data Science program, and the Johns Hopkins Coursera Data Science specialization. Eduardo is currently pursuing a master’s degree in... Read More →


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

4:10pm

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.

Speakers
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 Quixey & Nexmo, and was involved at various times in development, product marketing, co-founding startups, tech show hosting, and even cruise-ship singing (don’t... Read More →


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

5:00pm

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.

Moderators
avatar for Alexy Khrabrov

Alexy Khrabrov

Chief Scientist, Cicero.AI
Dr. Alexy Khrabrov is a founder and organizer of Open-Source communities and conferences on Data Engineering, Artificial Intelligence, and Data Science. He is the Chief Scientist of Cicero.AI, a community-based research institute for AI. Dr. Khrabrov runs seven meetups in San Francisco: bay.area.ai, sfscala.org, sfspark.org, sfhadoop.org, reactive.community, sfgraphql.org, and saltops.org. He founded a series of technical conferences By the... Read More →

Speakers
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 Labs. Sara holds an AB in mathematics from Princeton University and a PhD in mathematics from Northwestern University.
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 to predict outcomes and disease characteristics in cancer patients. From there, he joined CellScope, where he founded a machine learning team that used concepts from the... 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 technology rather than technology itself. I am a relentless pursuer of product and market fit and value these above all else. As a Definite Optimist (concept by... Read More →
avatar for Gabor Melli

Gabor Melli

Senior Director of Machine Learning at Sony Interactive Entertainment
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
Pearl

6:00pm

 
Tuesday, March 7
 

9:00am

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.

Speakers
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 Los Angeles Auto Show, the Connected Car Council and the NVIDIA Foundation, which focuses on computational solutions for cancer research. He holds a Bachelor of Science... Read More →


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

9:50am

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.

Speakers
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 in a broad range of subjects in robotics, but his core expertise and main subject area in his academic and industrial career of almost ten years has been motion... Read More →


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

10:40am

Self-Driving Lessons from Comma AI
Speakers
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, user installable, self driving kits. He believes that compression is intelligence and thinks we have about 18 years left on this planet.


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

11:30am

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.

Speakers
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 level 4 autonomy as Director of Sales and Marketing at Velodyne LiDAR. Since January 2016 he has expanded his expertise at AutonomouStuff to also include radar... Read More →


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

1:10pm

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.

Speakers
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 teams—including OEMs and suppliers in automotive, agriculture, mining, military, and UAVs. Prior to robotics, Josh developed consumer products as Head of Hardware for... Read More →


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

1:50pm

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.

Speakers
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 that will upend the automotive industry in coming decades led him to Velodyne LiDAR in 2015.  As Velodyne’s Automotive Market Champion, John has had... Read More →


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

2:30pm

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!

Speakers
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 roles at Candidate Metrics, mSpot, and AOL. He has an MBA from Stanford University, and a BSE in computer science from Princeton University.


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

3:10pm

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.

Speakers
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), creating groundbreaking consumer products (IDEO) and building massively scalable global software systems. Mr. Heiser received his degree in Mechanical... Read More →


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

3:50pm

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.

Speakers
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 Valley, partnering with innovators in logistics, innovation, and much more. He holds a degree in International Business from Drexel University.
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
Pearl

4:30pm

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.

Speakers
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 Mighty AI in October 2014, he led engineering teams at several companies, including Spam Arrest, Eyejot, TeachStreet, Amazon and Porch.


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

5:00pm

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.

Moderators
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, Zoox, Atieva, Faraday Future, Sidewalk Labs, and Optimus Ride. Most recently, one of his public records requests for Backchannel triggered Waymo’s lawsuit against... Read More →

Speakers
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 emerging urban mobility trends and technologies, advising public and private sector clients on the implications of autonomous vehicles, smart mobility, shared-use... 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 product use case to commercialization, and built a program that has produced over $140M in investment and $50M in public financing for emerging technology field trials... 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 to GM, Ted was PwC's Innovation leader and completed 99 rides as an UberX driver to see what he could learn about disruptive innovation in transportation... Read More →
avatar for Elliot Katz

Elliot Katz

Global Co-Chair of Connected and Self-Driving Car Practice, 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 car issues and has recently been quoted in articles on this topic in The Chicago Tribune, The San Francisco Chronicle, The Miami Herald, Bloomberg, Yahoo Finance... 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, aerospace.
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, and has been a speechwriter and adviser to Singapore’s Ministers. She is passionate about... Read More →


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

6:00pm

 
Wednesday, March 8
 

9:00am

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.

Speakers
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, he applies AI to intensive care medicine. With the United | Nations, he has developed a new global seismic monitoring system for | the... Read More →


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

9:50am

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.

Speakers
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
Pearl

10:40am

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.

Speakers
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. The first, Flightcaster, used machine learning for predicting the state of the real time global air traffic network using FAA, carrier, and weather data, and was... Read More →


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

11:30am

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.

Moderators
avatar for Alexy Khrabrov

Alexy Khrabrov

Chief Scientist, Cicero.AI
Dr. Alexy Khrabrov is a founder and organizer of Open-Source communities and conferences on Data Engineering, Artificial Intelligence, and Data Science. He is the Chief Scientist of Cicero.AI, a community-based research institute for AI. Dr. Khrabrov runs seven meetups in San Francisco: bay.area.ai, sfscala.org, sfspark.org, sfhadoop.org, reactive.community, sfgraphql.org, and saltops.org. He founded a series of technical conferences By the... Read More →

Speakers
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 was subsequently part of the founding team at Patients Know Best, one of the world's leading cloud-based Personal Health Record (PHR) companies. In addition, 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. The first, Flightcaster, used machine learning for predicting the state of the real time global air traffic network using FAA, carrier, and weather data, and was... 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 to Accel, Jake was director of product management at Splunk, where he was responsible for the product’s user interface and big data strategy... 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. He has spent time living in China and working in a production environment. He spent 2 years as the hardware lead at the StartX accelerator program. Adam's... 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 Sibly. | | Born in France and living in Silicon Valley for the past 18 years, Ben is a repeat entrepreneur who launched, built, and exited two startups... 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 on company-defining decisions, including data and technology strategy and M&A. Her favorite project gave her the opportunity to define McKinsey’s perspective on... Read More →


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

1:00pm

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.

Speakers
avatar for Jeremy Howard

Jeremy Howard

Founder, Fast.ai
Founder, Fast.ai


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

1:50pm

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.

Speakers
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 monthly impressions. In 2013, MoPub sold to Twitter for $600M. | | Tom is currently working at OpenAI to make the future of AI beneficial for humanity.


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

2:40pm

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.

Speakers
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 learning with Chris Manning and Andrew Ng and won the best Stanford CS PhD thesis award. He is interested in developing new AI models that perform well across multiple... Read More →


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

3:30pm

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.

Speakers
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 of language models, multi-view learning for gene expression and MRI data, and mining social media to better understand personality and well-being.


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

4:20pm

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

Moderators
avatar for Peter Skomoroch

Peter Skomoroch

Co-Founder & CEO, SkipFlag
Peter Skomoroch is cofounder and CEO of Skipflag. SkipFlag is using machine intelligence to build the workplace knowledge graph. Their product turns conversations into knowledge to proactively keep you up to date at work. Previously, he was Principal Data Scientist at LinkedIn where he led teams focused Reputation, Inferred Identity and Data Products like LinkedIn Skills and LinkedIn Endorsements.

Speakers
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, investment banking, consulting and management roles at operating companies. Andrew holds an MBA and M.S. in Information Systems from Boston University and a B.S. in... 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 intelligence, deep learning, and large-scale data analysis. He has 15 years’ experience as an algorithm scientist and technology leader working on building... 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

Co-founder & 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) and mySimon (acquired by CNET). He earned his engineering degree from Cornell University and lives in San Francisco with his wife Tricia and dog Bear, who introduced... Read More →


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

5:10pm

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.

Moderators
avatar for Alexy Khrabrov

Alexy Khrabrov

Chief Scientist, Cicero.AI
Dr. Alexy Khrabrov is a founder and organizer of Open-Source communities and conferences on Data Engineering, Artificial Intelligence, and Data Science. He is the Chief Scientist of Cicero.AI, a community-based research institute for AI. Dr. Khrabrov runs seven meetups in San Francisco: bay.area.ai, sfscala.org, sfspark.org, sfhadoop.org, reactive.community, sfgraphql.org, and saltops.org. He founded a series of technical conferences By the... Read More →

Speakers
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. He graduated from Stanford University with a BS in Mathematics and a MS in Computer Science.
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 building data products and data science teams at Microsoft, LinkedIn, and Salesforce. She holds a Ph.D. in Computer Science from Stanford University.
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 taught at the University of Southern California and the University of California at Berkeley, from which he received a Ph.D. in 1986 and the distinguished alumni award... 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, he applies AI to intensive care medicine. With the United | Nations, he has developed a new global seismic monitoring system for | the... 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 of language models, multi-view learning for gene expression and MRI data, and mining social media to better understand personality and well-being.


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

6:00pm