Google Cloud Next 2019 | Game Sessions Google Cloud Next 2019 | Building Game AI for Better User Experiences In DeNA, AI is a big bet for next-generation mobile games. This session introduces our AI applications made for “Gyakuten Othellonia” and how they were built with GCP. “Gyakuten Othellonia” is a popular mobile game …

Google Cloud Next 2019 | Game Sessions Google Cloud Next 2019 | Building a WorldWeb App with Ruby, App Engine, Serverless Container, and Spanner In a world filled with security breaches making the front page of newspapers, how do you balance the velocity gains of serverless without compromising application security? In this talk, we’ll discuss …

Google Cloud Next 2019 | Retail Sessions Google Cloud Next 2019 | Automating Application Modernization on Google Cloud Platform There are four distinct patterns that apply to nearly every modernization initiative when moving applications to the cloud: 1) A brownfield strategy – to address existing enterprise applications – is critical to success, since non-cloud workloads …

Google Cloud Next 2019 | Media and Entertainment Sessions Google Cloud Next 2019 | Why Media And Entertainment Companies Are Going G Suite The nation’s top media and entertainment organizations are embracing Google Cloud to transform secured sharing of digital content, collaboration between globally distributed teams, and insights. Join this panel discussion with CIOs from …

As machine learning (ML) systems continue to improve, its integration to systems making up the society becomes more seamless. Right now, ML is involved in making critical decisions such as court decisions and job hirings. Without a doubt, using ML in these processes will lead to more efficiency. With a good design, ML systems can …

Robotics has come a long way in the past few years. Robots can now fetch items from specific spots in massive warehouses, swim through the ocean to study marine life, and lift 200 times their own weight. They can even perform synchronized dance routines. But the really big question is—can robots put together an Ikea …

A common industry standard for deep learning hardware is the use of neural network quantization, as noted by an MIT study. Neural networks are computation and memory intensive. Quantization cuts down on the usage of these resources by stripping an input of details which won’t gravely affect the information conveyed. As an example, consider image …

With Artificial Intelligence (AI) increasingly intertwining with human lives, it is also becoming increasingly important to address the ethical aspect of the use of this technology. As we know, human ethics is incredibly subjective and inconsistent. This makes it difficult to embed into some sort of code which AI could follow. In their paper, World …

Google I/O 2019 | Machine Learning on Your Device: The Options Developers have an often confusing plethora of options available to them in using machine learning to enhance their mobile apps and edge devices. This session will demystify these options, showing you how TensorFlow can be used to train models and how you can use …

Google I/O 2019 | Live Coding A Machine Learning Model from Scratch Do you want to build a machine learning model, but not sure where to start? In this session, learn how to start with an empty Colab notebook, code a model using TensorFlow and Keras, train the model live, deploy it to Cloud AI …