DALL-E Experimental for OpenAI. Soon to become DALL-E 3 - Dive into the Future of AI

Explore the unlimited potential of artificial intelligence as the ultimate tool for human augmentation. This session illuminates how AI eases tasks, scales capabilities, and removes obstacles to progress. Examples from diverse fields illustrate AI's profound role in advancing society and technology. In addition to amplifying abilities, AI also augments human flaws. Let’s confront the dark side of AI and discuss our role as developers and tech leaders in mitigating these challenges. Every line of code contributes to a future shaped by artificial intelligence. Ultimately as creators of augmenting technology we shoulder the responsibility in ensuring AI not only enhances human abilities but also corrects its flaws. We don't just witness the future—we create it. Don't miss this opportunity to discover how each keystroke is influencing humanity's grand masterpiece—our future. Let's craft it with care, together.Unsupervised AI scan tool -

Have you ever wondered how map features such as traffic signs get on the map? Or did you think they were manually put there? Surely, if that was the case, the map would've been outdated in a million places by the time it was finished. Let me take you through the journey of processing data, transforming observations to knowledge, map matching and publishing features to the map. At global scale.

Artificial intelligence is rapidly changing the world we live in, and Microsoft is at the forefront of this exciting revolution. Join us for a session where we'll explore the latest innovation from Microsoft and GitHub on AI. Let's explore the latest technologies, including Azure OpenAI, Neural voice, and GitHub Co-pilot. With Co-pilot, an AI-powered coding assistant that suggests code snippets based on project context, developers can boost productivity. We'll also discuss the importance of developing AI in a way that benefits society as a whole. Don't miss this opportunity to learn and discover how you can leverage AI to drive innovation in your own organization.

Join us as we explore the XR landscape on social media, where platforms like Snapchat, Instagram, and Facebook have pioneered immersive experiences. Discover our approach to XR development, learnings from the past five years, and insights into building award-winning XR production teams. Gain a deeper understanding of how adoption rates and user interest shape the future of spatial media, and uncover strategies for leveraging past industries and technologies to accelerate your spatial computing initiatives. Get ready to revolutionize your digital experiences!

In an era where privacy is increasingly paramount, it is crucial that the advertising industry adapt to the evolving needs and expectations of users. This talk explores how Reddit is leveraging Natural Language Processing and Machine Learning to create user-centric and privacy-conscious advertising models. We will delve into how different techniques are employed to generate robust and meaningful signals for ad targeting. With these signals, drawn from the vast ocean of user-generated content on Reddit, we are able to interpret and understand the nuances of user interactions and discussions. Yet, unlike conventional methods, our approach does not involve explicit personal data collection, thus ensuring respect for user privacy.

Everyone is talking about it: Generative AI and Large Language Models. To really understand what you can do with them, how to refine them for your own use, but also what the dangers are, it helps to understand how these models work. LLMs are trained on massive datasets of text and code, and can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. In this talk, Lee Boonstra, Software Engineer Tech Lead and advocate will provide a beginner’s guide to LLMs and generative AI technology. She explains what these technologies are, how they work, and what they can be used for. Let’s be honest and also discuss the potential risks and benefits of these technologies, and how we can ensure that they are used for good and not for harm. Introduction to LLMs and generative AI technology How LLMs and generative AI technology work Use cases for LLMs and generative AI technology Risks and benefits of LLMs and generative AI technology The future of LLMs and generative AI technology