Track: Hardware Frontiers: Changes Affecting Software Developers Today

Location: Pacific LMNO

Day of week: Tuesday

Quantum computing, NVM, SMR, GPU are changing software. Learn about building custom hardware, self-driving cars you can build, and lessons from Academy Award winning graphic researcher on mobile hardware capabilities.

Track Host:
Marty Weiner
CTO @Reddit, formerly 2nd engineer @Pinterest

Marty is a founding engineer at Pinterest and former CTO of Reddit (now an advisor while on sabbatical). Currently writing a book, building full-size doids, advising rising startups, building top secret prototypes, and chasing his kids around the house.

10:35am - 11:25am

by Jeff Williams
Robotics Systems Developer

Every industry will experience increasing pressure to collect data from, and maniuplate, the physical world: e-commerce, food, advertising, sales, manufacturing, agriculture, healthcare, labor management. This will require us to understand sensors and autonomy. We hear that making hardware is hard, but what if hardware isn’t hard? What if lean enterprise ideas worked just as well for hardware as they do for software, maybe even better?
When we accept this idea, we have the freedom to...

11:50am - 12:40pm

by William Roscoe
Lead Engineer @Ceres Imaging

by Adam Conway
Product Management and Marketing @Datacoral

We (Will and Adam) will start by actually building and driving the $200 open source self driving Donkey Car. You’ll learn about the hardware components and software(python) that let it drive, capture data, and create autopilots.

Next, we’ll show you the autopilots that have been winning recent DIY Robocar races. This will give you an intuition about the constraints of self driving on cheap hardware and how to leverage cloud...

1:40pm - 2:30pm

by Michael Bunnell
Graphics Programmer & Academy Award Winning Computer Graphics Researcher

by David Redkey
Senior Software Engineer, Video Games, 3D Graphics, C++, Mobile

As part of the engineering team at MZ we have been constantly updating the game engine that runs the highly successful Game of War: Fire Age, Mobile Strike, and Final Fantasy XV a New Empire mobile games. We have taken the engine from its 2D sprite-based roots and turned it into a full-fledged 3D engine with advanced rendering and animation features. We will present our unique solutions to the problems that arose while trying to create the best experience possible on new hardware without...

2:55pm - 3:45pm

by Magnus Hyttsten
TensorFlow Developer Advocate @Google

In this talk, you will see how Google uses Machine Learning to address problems that were not solvable just a year ago. We will look at some of the latest models we’ve developed and where the opportunities & challenges are, for example how we can automize the machine learning process. We will also describe latest advancements in TensorFlow to deal with model complexity and how developers can get start building complex models today. Finally, we will talk about...

4:10pm - 5:00pm

by Darren Crews
Principal Engineer @Intel working on Deep Learning

The Movidius™ Neural Compute Stick (NCS) is a tiny fanless deep learning device that you can use to learn AI programming at the edge. NCS is powered by the same low power high-performance Movidius™ Vision Processing Unit (VPU) that can be found in millions of smart security cameras, gesture-controlled drones, industrial machine vision equipment, and more. The Movidius Neural Compute Stick enables rapid prototyping, validation and deployment of Deep Neural Network (DNN) inference applications...

5:25pm - 6:15pm

by Amitabha Roy
Software Engineer @Google

Storage looks and feels like a block device hidden behind layers of abstractions - system calls, pagecaches, block device drivers and things we don't want to think about. This might change in the near future with the introduction of CPU accessible, byte addressable, persistent memory. How would your logging service, database or filesystem look in this world? Actually, would you need any of those or could a persistent C++ STL container be your storage service of...

.

Tracks

  • Architectures You've Always Wondered About

    Architectural practices from the world's most well-known properties, featuring startups, massive scale, evolving architectures, and software tools used by nearly all of us.

  • Going Serverless

    Learn about the state of Serverless & how to successfully leverage it! Lessons learned in the track hit on security, scalability, IoT, and offer warnings to watch out for.

  • Microservices: Patterns and Practices

    Stories of success and failure building modern Microservices, including event sourcing, reactive, decomposition, & more.

  • DevOps: You Build It, You Run It

    Pushing DevOps beyond adoption into cultural change. Hear about designing resilience, managing alerting, CI/CD lessons, & security. Features lessons from open source, Linkedin, Netflix, Financial Times, & more. 

  • The Art of Chaos Engineering

    Failure is going to happen - Are you ready? Chaos engineering is an emerging discipline - What is the state of the art?

  • The Whole Engineer

    Success as an engineer is more than writing code. Hear inward looking thoughts on inclusion, attitude, leadership, remote working, and not becoming the brilliant jerk.

  • Evolving Java

    Java continues to evolve & change. Track covers Spring 5, async, Kotlin, serverless, the 6-month cadence plans, & AI/ML use cases.

  • Security: Attacking and Defending

    Offense and defensive security evolution that application developers should know about including SGX Enclaves, effects of AI, software exploitation techniques, & crowd defense

  • The Practice & Frontiers of AI

    Learn about machine learning in practice and on the horizon. Learn about ML at Quora, Uber's Michelangelo, ML workflow with Netflix Meson and topics on Bots, Conversational interfaces, automation, and deployment practices in the space.

  • 21st Century Languages

    Compile to Native, Microservices, Machine learning... tailor-made languages solving modern challenges, featuring use cases around Go, Rust, C#, and Elm.

  • Modern CS in the Real World

    Applied trends in Computer Science that are likely to affect Software Engineers today. Topics include category theory, crypto, CRDT's, logic-based automated reasoning, and more.

  • Stream Processing In The Modern Age

    Compelling applications of stream processing using Flink, Beam, Spark, Strymon & recent advances in the field, including Custom Windowing, Stateful Streaming, SQL over Streams.