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The World’s Largest Global Developer Event for developers, engineers, programmers, DevOps & IT professionals.

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Artificial Intelligence Dev Conference [clear filter]
Monday, February 13
 

10:30am

CANCELLED: Saving Lives With Cognitive Computing
Speakers
avatar for Erika Harvey

Erika Harvey

CEO / Founder, MendUX, Inc.
nurse who took time off to learn how to code three full stacks, apprenticed as a UX architect and developed a love affair with hardware, all so she could provide patient advocacy through technology.


Monday February 13, 2017 10:30am - 10:50am
DeveloperWeek Workshop Stage 1 Monday: 555 North Point St, San Francisco, CA 94133 Tuesday & Wednesday: The Embarcadero San Francisco CA 94105

11:00am

Create a Custom Skill on Amazon Echo
Learn to create your first custom skill on the Amazon Echo, Tap, or Dot! This workshop will be using node.js, Amazon Web Services Lambda, Cloud Formation, and the Alexa Skills Kit. It is designed to be an easy hands-on experience to get you to publish your first skill on the Alexa app.

Pre-requisites:
  1. Bring your laptop!
  2. Register an Amazon Developer account at developer.amazon.com
  3. Register an Amazon Web Services account: aws.amazon.com.

Attendees who publish a skill on the Alexa app will receive a free limited edition developer hoodie from Amazon. 

Speakers
avatar for Emily Lam

Emily Lam

Frontend developer, Lieberman Software
Emily Lam (@hongily) is a frontend developer at Lieberman Software in Century City. She graduated from UCLA with a bachelor's degree in Linguistics and specialization in Computing. In 2016, she won the Money 20/20 Worldpay sponsor prize and the Amazon Alexa prize at the Mojio Connected Car Hackathon.



Monday February 13, 2017 11:00am - 11:50am
DeveloperWeek Workshop Stage 1 Monday: 555 North Point St, San Francisco, CA 94133 Tuesday & Wednesday: The Embarcadero San Francisco CA 94105

12:00pm

Deep Learning for Software Development
How can we apply machine learning (and visualization) to aid software development - specifically, software developers? While there is some work in this field, until recently most of it has been devoted to metrics and estimates. Metrics are shadows of snowflakes, and thus not particularly informative when seeking to understand the purpose of a system or the behavior of a component. Improving estimation, while an interesting application and a laudable goal, likewise does not directly help developers create better software faster, nor manage the growing complexity of real-world systems. Can we apply ML in ways that help guide development, inform software archeology, and reduce effort for developers? If so, can these things help us take on the systems-of-systems-of-systems of the future, where million-line code bases will be considered "quaint"?

After a brief survey of existing/past work in the area, we'll investigate the question of "what does software look like", examine the more interesting question of "what does good software look like", and use these insights to explore how we can enable developers to create and manage ever-larger software systems. No ML experience or math required. Lots of pretty pictures.

Speakers
avatar for Steven Lowe

Steven Lowe

Object Mechanic, ThoughtWorks
I write science fiction, and software. Talk to me about crazy ideas and dreams.


Monday February 13, 2017 12:00pm - 12:40pm
DeveloperWeek Workshop Stage 1 Monday: 555 North Point St, San Francisco, CA 94133 Tuesday & Wednesday: The Embarcadero San Francisco CA 94105

2:00pm

A.I. Is My Co-Pilot
Speakers
avatar for Parthiv Patel

Parthiv Patel

x, Built.io
Parthiv Patel is the Technical Marketing Manager at Built.io where he specializes in technologies that enable connected ecosystems. Parthiv has 6 years of experience designing and delivering solutions for buildings, robotics, even race cars. His forte is building interesting connections and innovative demos at the intersection of hardware, software, digital and physical.


Monday February 13, 2017 2:00pm - 2:50pm
DeveloperWeek Workshop Stage 1 Monday: 555 North Point St, San Francisco, CA 94133 Tuesday & Wednesday: The Embarcadero San Francisco CA 94105

3:00pm

Build a Serverless Chat Bot with On-demand AI Webservices
Don't build your own AI, or your own server infrastructure. Josh will show you how to combine existing on-demand AI webservices like IBM Watson, into a powerful chatbot with very little code.

Speakers
avatar for Josh Marinacci

Josh Marinacci

Head of Developer Evangelism, PubNub
Josh is an O’Reilly author, developer advocate, and recovering engineer. Josh is the head of developer relations at PubNub. Previously he worked as a developer evangelist at Nokia, Palm / HP, and Sun. He is passionate about user interfaces and education. Josh lives in sunny Eugene, Oregon.


Monday February 13, 2017 3:00pm - 3:50pm
DeveloperWeek Workshop Stage 1 Monday: 555 North Point St, San Francisco, CA 94133 Tuesday & Wednesday: The Embarcadero San Francisco CA 94105

4:00pm

Democratizing AI Beyond the Data Giants
Speakers
RS

Ramesh Sridharan

Head of Machine Learning, Captricity
Prior to working at Captricity, Ramesh received his PhD in Electrical Engineering and Computer Science from MIT’s Computer Science and Artificial Intelligence lab (CSAIL), where his thesis focused on developing machine learning and computer vision technologies to enhance medical image analysis. Working to enable a cross-collaboration between researchers and doctors to understand large, complex medical image collections, Ramesh’s... Read More →


Monday February 13, 2017 4:00pm - 4:30pm
DeveloperWeek Workshop Stage 1 Monday: 555 North Point St, San Francisco, CA 94133 Tuesday & Wednesday: The Embarcadero San Francisco CA 94105
 
Tuesday, February 14
 

9:00am

Deep Learning Breakthroughs Revolutionizing Conversational and Voice Artificial Intelligence (AI)
Speakers
avatar for Yishay Carmiel

Yishay Carmiel

President Spoken Labs, Spoken Communication
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 →


Tuesday February 14, 2017 9:00am - 9:50am
DeveloperWeek Workshop Stage 1 Monday: 555 North Point St, San Francisco, CA 94133 Tuesday & Wednesday: The Embarcadero San Francisco CA 94105

10:00am

OPEN TALK: A Fundamentally Different Approach to Building Intelligent Systems
Building deep learning systems at present is part science, part art, and a whole lot of arcana. Rather than focusing on the concepts you want the system to learn and how those can be taught, you often find yourself dealing with low-level details like network topology and hyperparameters. 

Databases solved this problem for data by allowing users to program at a higher level of abstraction. Databases eschew low-level implementation details and instead build a model of the information (the schema) using a high-level declarative programming language (such as SQL). The database server actualizes this model and manages its usage with real data. Similarly, for artificial intelligence, one can build a model for conceptual understanding (the mental model) using a high-level declarative programming language (such as Inkling). A runtime server can then be used to actualize this model and manage its usage with real data.

Keen Browne explains how Bonsai’s platform enables every developer to add intelligence to their software or hardware, regardless of AI expertise. Bonsai’s suite of tools—a new programming language, AI engine, and cloud service—abstracts away the lowest-level details of programming AI, allowing developers to focus on concepts they want a system to learn and how those concepts can be taught. Keen explores the underpinnings of this technique, details the Inkling programming language, and demonstrates how to build, debug, and iteratively refine models. To make things concrete and fun, Keen demonstrates how to create a system to play the video game Breakout using deep learning (but requiring codifying only the high-level concepts relevant for intelligent play) and offers a curriculum for how to teach this system.

Speakers
avatar for Keen Browne

Keen Browne

Co-founder / Head of Product, Bonsai
Keen Browne is the co-founder and Head of Product at Bonsai. Keen has an extensive background with developer tools having worked for 4 years in the developer division at Microsoft on technologies like .NET and Visual Studio. Prior to founding Bonsai, Keen founded ECitySky Ltd, a real time social games platform in Beijing, China where he lived for 7 years.


Tuesday February 14, 2017 10:00am - 10:50am
DeveloperWeek Workshop Stage 1 Monday: 555 North Point St, San Francisco, CA 94133 Tuesday & Wednesday: The Embarcadero San Francisco CA 94105

11:00am

Inside Pandora The Explore-Exploit Dilemma in Recommendation

Recommendation systems are the crystal ball of the Internet: predicting user intentions, making sense of big data, and delivering what people are looking for before they even know they want it. Pandora recommends an evolving set of songs in real-time, which constantly keep the experience new and exciting.
This talk will present an overview of how recommendation works at Pandora, followed by a deep dive into the engineering challenges of recommender systems.


Speakers
avatar for Oscar Celma

Oscar Celma

Director of Research, PANDORA
Dr. Òscar Celma is Director of Research at Pandora, where he leads a team of 60 (25 scientists and 35 musicologists) to provide the best personalized music discovery experience. | Òscar has published a book named "Music Recommendation and Discovery" (Springer, 2010).


Tuesday February 14, 2017 11:00am - 11:40am
DeveloperWeek Workshop Stage 1 Monday: 555 North Point St, San Francisco, CA 94133 Tuesday & Wednesday: The Embarcadero San Francisco CA 94105