In February 2019, OpenAI released a paper describing GPT-2, a AI-based text-generation model based on the Transformer architecture and trained on massive amounts of text all around the internet. From a text-generation perspective, the included demos were very impressive: the text is coherent over a long horizon, and grammatical syntax and punctuation are near-perfect. At the same time, the Python code which allowed anyone to download the model (albeit smaller versions out of concern the full model can be abused to mass-generate fake news) and the TensorFlow code to load the downloaded model and generate predictions was open-sourced on GitHub. Neil Shepperd created a fork of OpenAI's repo which contains additional code to allow finetuning the existing OpenAI model on custom datasets. A notebook was created soon after, which can be copied into Google Colaboratory and clones Shepperd's repo to finetune GPT-2 backed by a free GPU.

"Part of what we want is to educate the writing community in a really open way. So we have set this up to find and incubate new writing talent and get them up to speed with what we do." To qualify for The Writers' Room, a track record of screen credits was preferred but not essential.

Last week, researchers at the Allen Institute for Artificial Intelligence demonstrated in a new paper that an AI they'd designed could ace an …

Dr. Rebecca Fiebrink is a Lecturer in Computing at Goldsmiths, University of London. She creates new technologies for digital music and art, and she designs new ways for humans to interact with computers in creative practice. Much of her current research combines techniques from human-computer interaction, machine learning, and signal processing to allow people to apply machine learning more effectively to new problems, such as the design of new digital musical instruments and gestural interfaces for gaming and health. She is also involved in projects developing rich interactive technologies for digital humanities scholarship, and in designing new approaches to integrating the arts into computer science teaching and outreach. Rebecca is the developer of the Wekinator system for interactive machine learning.

Wallner: My name is Emil Wallner, I'm Swedish, and I'm currently studying computer science in Paris. You might have come across some of my open-source projects. I made the one that you mentioned earlier, the Screenshot-to-code, which was the most popular project on GitHub for almost a month. That's where I translate design markups into HTML and CSS. Another project I've done is coloring black and white photos with neural networks and [inaudible 00:00:30] made a short film about this project. Today, we're going to talk about software automation. The first step you need to take to start understanding this problem is to start looking at software development as data. A lot of people now, if you think about the tasks that we're given, say, design markups, or program descriptions, or meeting a client and trying to understand what their problems are, we see them as human problems that only we can relate to and understand, but more and more, we can start to treat these problems as data problems. To understand how this is possible, I'm just going to give you a short overview of the context. We've had traditional software that we're all used to.

There is a scene in Steven Spielberg's A.I. Artificial Intelligence where the robot character played by Haley Joel Osment meets the other versions of himself. This robot who wants nothing more than to be human is infuriated. He is the real David. These others are just imposters. To see how quickly, and how many, replicas can be made is terrifying to him.

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. The media industry exemplifies this mission. We live in an age where more content is being created and consumed in more ways and on more devices than ever. At IBC 2019, we're delighted to share the latest innovations we've been working on and how they can help transform your media workflows. Read on to learn more, or join our product teams and partners at Hall 1 Booth C27 at the RAI in Amsterdam from September 13th to 17th.