Real-Time Virtual Content Adaptation with AI

The talk is now being edited and going to be available soon to multipass and full ticket holders
Registered portal users get access 15 days after and the rest 30 days after
Rate this content
Bookmark

"Real-Time Game Virtual Content Adaptation with AI: Unleashing the Power of Personalized Immersion" is an enthralling talk that explores the magical world of AI-driven real-time content adaptation in gaming. The talk highlights how AI algorithms dynamically adjust virtual game content, environments, characters, challenges, and narratives to cater to each player's preferences and actions. By delving into AI-driven player profiling and content reshaping, the talk showcases how personalized immersion enhances player engagement and fosters a profound sense of presence in the virtual realm. Attendees will gain insights into the transformative potential of AI-curated storytelling and intelligent gameplay mechanics, making every gaming experience a unique and unforgettable journey for each individual player.

This talk has been presented at JS GameDev Summit 2023, check out the latest edition of this JavaScript Conference.

Abde Ali Lokhandwala
Abde Ali Lokhandwala
28 Sep, 2023
Video transcription, chapters and summary will be available later.

Check out more articles and videos

We constantly think of articles and videos that might spark Git people interest / skill us up or help building a stellar career

Optimizing HTML5 Games: 10 Years of Learnings
JS GameDev Summit 2022JS GameDev Summit 2022
33 min
Optimizing HTML5 Games: 10 Years of Learnings
Top Content
Watch video: Optimizing HTML5 Games: 10 Years of Learnings
PlayCanvas is an open-source game engine used by game developers worldwide. Optimization is crucial for HTML5 games, focusing on load times and frame rate. Texture and mesh optimization can significantly reduce download sizes. GLTF and GLB formats offer smaller file sizes and faster parsing times. Compressing game resources and using efficient file formats can improve load times. Framerate optimization and resolution scaling are important for better performance. Managing draw calls and using batching techniques can optimize performance. Browser DevTools, such as Chrome and Firefox, are useful for debugging and profiling. Detecting device performance and optimizing based on specific devices can improve game performance. Apple is making progress with WebGPU implementation. HTML5 games can be shipped to the App Store using Cordova.
Building a Voice-Enabled AI Assistant With Javascript
JSNation 2023JSNation 2023
21 min
Building a Voice-Enabled AI Assistant With Javascript
Top Content
This Talk discusses building a voice-activated AI assistant using web APIs and JavaScript. It covers using the Web Speech API for speech recognition and the speech synthesis API for text to speech. The speaker demonstrates how to communicate with the Open AI API and handle the response. The Talk also explores enabling speech recognition and addressing the user. The speaker concludes by mentioning the possibility of creating a product out of the project and using Tauri for native desktop-like experiences.
Building Fun Experiments with WebXR & Babylon.js
JS GameDev Summit 2022JS GameDev Summit 2022
33 min
Building Fun Experiments with WebXR & Babylon.js
Top Content
This Talk explores the use of Babylon.js and WebXR to create immersive VR and AR experiences on the web. It showcases various demos, including transforming a 2D game into a 3D and VR experience, VR music composition, AR demos, and exploring a virtual museum. The speaker emphasizes the potential of web development in the metaverse and mentions the use of WebXR in Microsoft products. The limitations of WebXR on Safari iOS are discussed, along with the simplicity and features of Babylon.js. Contact information is provided for further inquiries.
Making Awesome Games with LittleJS
JS GameDev Summit 2022JS GameDev Summit 2022
34 min
Making Awesome Games with LittleJS
Top Content
Little.js is a super lightweight and fast JavaScript game engine that has everything included to start making games right away. It has a tiny footprint and no dependencies, making it perfect for size-coding competitions like JS13K. Little.js is built with an object-oriented structure and comes with several classes. It provides a fast rendering system, a comprehensive audio system, and various starter projects for different game types. Little.js is designed to be simple and easy to understand, allowing you to look at and modify the code.
AI and Web Development: Hype or Reality
JSNation 2023JSNation 2023
24 min
AI and Web Development: Hype or Reality
Top Content
This talk explores the use of AI in web development, including tools like GitHub Copilot and Fig for CLI commands. AI can generate boilerplate code, provide context-aware solutions, and generate dummy data. It can also assist with CSS selectors and regexes, and be integrated into applications. AI is used to enhance the podcast experience by transcribing episodes and providing JSON data. The talk also discusses formatting AI output, crafting requests, and analyzing embeddings for similarity.
Boost the Performance of Your WebGL Unity Games!
JS GameDev Summit 2023JS GameDev Summit 2023
7 min
Boost the Performance of Your WebGL Unity Games!
Top Content
The Talk discusses ways to boost the performance of WebGL Unity games, including issues with bundle size, memory usage, and runtime performance. It suggests using Brotli for compression and non-exception support for better performance. Choosing the appropriate texture compression format and experimenting with separate builds can also help. The Talk also covers optimizing textures, models, audio, and assets by reducing build size, using compression, disabling unnecessary models, and optimizing audio quality. Unity's optimization tools and profilers are recommended for analyzing performance and memory issues.

Workshops on related topic

AI on Demand: Serverless AI
DevOps.js Conf 2024DevOps.js Conf 2024
163 min
AI on Demand: Serverless AI
Top Content
Featured WorkshopFree
Nathan Disidore
Nathan Disidore
In this workshop, we discuss the merits of serverless architecture and how it can be applied to the AI space. We'll explore options around building serverless RAG applications for a more lambda-esque approach to AI. Next, we'll get hands on and build a sample CRUD app that allows you to store information and query it using an LLM with Workers AI, Vectorize, D1, and Cloudflare Workers.
Make a Game With PlayCanvas in 2 Hours
JSNation 2023JSNation 2023
116 min
Make a Game With PlayCanvas in 2 Hours
Top Content
Featured WorkshopFree
Steven Yau
Steven Yau
In this workshop, we’ll build a game using the PlayCanvas WebGL engine from start to finish. From development to publishing, we’ll cover the most crucial features such as scripting, UI creation and much more.
Table of the content:- Introduction- Intro to PlayCanvas- What we will be building- Adding a character model and animation- Making the character move with scripts- 'Fake' running- Adding obstacles- Detecting collisions- Adding a score counter- Game over and restarting- Wrap up!- Questions
Workshop levelFamiliarity with game engines and game development aspects is recommended, but not required.
AI for React Developers
React Advanced 2024React Advanced 2024
142 min
AI for React Developers
Featured Workshop
Eve Porcello
Eve Porcello
Knowledge of AI tooling is critical for future-proofing the careers of React developers, and the Vercel suite of AI tools is an approachable on-ramp. In this course, we’ll take a closer look at the Vercel AI SDK and how this can help React developers build streaming interfaces with JavaScript and Next.js. We’ll also incorporate additional 3rd party APIs to build and deploy a music visualization app.
Topics:- Creating a React Project with Next.js- Choosing a LLM- Customizing Streaming Interfaces- Building Routes- Creating and Generating Components - Using Hooks (useChat, useCompletion, useActions, etc)
Leveraging LLMs to Build Intuitive AI Experiences With JavaScript
JSNation 2024JSNation 2024
108 min
Leveraging LLMs to Build Intuitive AI Experiences With JavaScript
Featured Workshop
Roy Derks
Shivay Lamba
2 authors
Today every developer is using LLMs in different forms and shapes, from ChatGPT to code assistants like GitHub CoPilot. Following this, lots of products have introduced embedded AI capabilities, and in this workshop we will make LLMs understandable for web developers. And we'll get into coding your own AI-driven application. No prior experience in working with LLMs or machine learning is needed. Instead, we'll use web technologies such as JavaScript, React which you already know and love while also learning about some new libraries like OpenAI, Transformers.js
Llms Workshop: What They Are and How to Leverage Them
React Summit 2024React Summit 2024
66 min
Llms Workshop: What They Are and How to Leverage Them
Featured Workshop
Nathan Marrs
Haris Rozajac
2 authors
Join Nathan in this hands-on session where you will first learn at a high level what large language models (LLMs) are and how they work. Then dive into an interactive coding exercise where you will implement LLM functionality into a basic example application. During this exercise you will get a feel for key skills for working with LLMs in your own applications such as prompt engineering and exposure to OpenAI's API.
After this session you will have insights around what LLMs are and how they can practically be used to improve your own applications.
Table of contents: - Interactive demo implementing basic LLM powered features in a demo app- Discuss how to decide where to leverage LLMs in a product- Lessons learned around integrating with OpenAI / overview of OpenAI API- Best practices for prompt engineering- Common challenges specific to React (state management :D / good UX practices)
Working With OpenAI and Prompt Engineering for React Developers
React Advanced 2023React Advanced 2023
98 min
Working With OpenAI and Prompt Engineering for React Developers
Top Content
Workshop
Richard Moss
Richard Moss
In this workshop we'll take a tour of applied AI from the perspective of front end developers, zooming in on the emerging best practices when it comes to working with LLMs to build great products. This workshop is based on learnings from working with the OpenAI API from its debut last November to build out a working MVP which became PowerModeAI (A customer facing ideation and slide creation tool).
In the workshop they'll be a mix of presentation and hands on exercises to cover topics including:
- GPT fundamentals- Pitfalls of LLMs- Prompt engineering best practices and techniques- Using the playground effectively- Installing and configuring the OpenAI SDK- Approaches to working with the API and prompt management- Implementing the API to build an AI powered customer facing application- Fine tuning and embeddings- Emerging best practice on LLMOps