AI in Media and Entertainment
Details
In this meetup we're focusing on how AI and Machine Learning are going to transform the Media and Entertainment industries. We've got a variety of talks and hands on demos that will walk you through how to get started, and where this technology is already being used within the industry.
Don't forget to register with Skills Matter - https://skillsmatter.com/meetups/11517-powerai-london-meetup
18:30 Working with large models - Training and Deploying models using LMS - Chris Parsons (IBM).
In this session we'll discuss the GPU memory limitation on Deep Learning workloads and discuss various techniques for overcoming the challenge to improve model accuracy and performance with large datasets. Specifically looking at the LMS TensorFlow implementation.
19:00 A two-layer model for recursive prediction of communications data - Jakub Pietrzak (Brytlyt)
A two-layer model for recursive prediction of communications data
Consider a loose definition of a time-series problem as the statement that, what happens at a given moment in time depends on what has happened in previous moments in time. In this talk we consider a set of communications data posed as a time-series problem. Specifically, we consider a database of requests from mobile devices for a connection to one of a set of telecommunication towers.
19:30 IBM Model Asset Exchange - Margriet Groenendijk (IBM)
The Model Asset eXchange (MAX) is a one-stop exchange for data scientists and developers to find and use machine learning models. MAX offers both pre-trained and trainable models that are created with open source machine learning engines like TensorFlow, Keras, PyTorch, and Caffe2. MAX models include detailed metadata on how they were trained and on what data.
In this talk, we break down the challenges a domain expert faces today in applying deep learning to real-world problems. We will talk about the challenges that a domain expert needs to overcome in order to go from “I know a model of this type exists” to “I can tell an application developer how to apply this model to my domain.” The talk will conclude with a live demo that shows how you can cut through the stages of model deployment in minutes instead of days using MAX.
20:00 Machine Learning in Media - Lobster AI