Working with data can be challenging: it often doesn’t come in the best format for analysis, and understanding it well enough to extract insights requires both time and the skills to filter, aggregate, reshape, and visualize it. This session will equip you with the knowledge you need to effectively use pandas a powerful library for data analysis in Python to make this process easier.This is a hands on workshop consists of lectures using Jupyter Notebooks for following along with the code and a set of exercises dispersed throughout to test each attendee’s understanding. There are more questions provided in each section than the attendees will have time to answer so that those at all levels of prior experience have a challenge. After some time, I will go over the solutions to those exercises before resuming the lecture. This tutorial is for anyone with basic knowledge of Python and an interest in learning how to analyze data in Python. We will be working with Jupyter Notebooks, so attendees should familiarize themselves with the interface(i.e., know how to run/edit a cell). beforehand.

• Key objectives
• Work collaboration opportunities

Reserved

In this talk, I’ll show how large language models such as GPT4 complement rather than replace existing machine learning workflows. Initial annotations are gathered by promting the model, and then corrected by a human decisionmaker using an annotation tool. The resulting annotations can then be used to train and evaluate models as normal. This process results in higher accuracy than can be achieved from the language model alone, with the added benefit that you’ll own and control the model for runtime.

Large language models such as GPT4 have introduced a step change in natural language understanding technology.One application for these is in an interactive chat interface, but many applications that need to work with language instead want to process and analyse textual data. Supervised components have a big advantage in efficiency and custom is ability for these tasks, but they require task specific training data. In this talk, I’ll show you how spaCy’s new support for large language models allows faster and more powerful prototyping than ever before. You can put together a custom pipeline with no training data and minimal effort to get something working almost right away. I’ll then discuss how you can build on that first effort to create applications that can deliver lasting value.

* Utilize Rust for efficient binary deployment in MLOps
* Leverage Python''s strengths in data science

Practical coaching on how to leverage generative AI as a datascientist.  This session is packed with practical advice to give the Data Scientist wings!

Exploring IEEE Entrepreneurship in Region 8 & Across the Globe

Dive into an introductory about IEEE Entrepreneurship in Region 8 (Europe, Middle East, and Africa) and its global team. Learn about the opportunities, resources, and initiatives driving innovation and entrepreneurship within IEEE

Unveiling Rising Stars: Deep Tech Startups in the EMEA Region

An insightful exploration of emerging deep technology startups within the Europe, Middle East, and Africa (EMEA) region. Discover the groundbreaking innovations, disruptive technologies, and the entrepreneurial journey of these rising stars

This presentation will provide a comprehensive overview of the benefits of animated data stories as a means ofcommunicating research insights to a diverse audience. Also one of the creators of ipyvizzu story (https://github.com/vizzuhq/ipyvizzu story) will demonstrate how this open source, cutting edge presentation tool,integrated with Jupyter Notebook and similar platforms, makes use of a simple Python interface to bring your data tolife through animated stories.

Top 10, both specialization paths - Generative AI Path and Data Science & AI Role PathNext 20,  Generative AI PathNext 20, Data Science & AI Role  Path

Navigating the Investment Landscape for Deep Tech Ventures

Delve into the intricate world of investment in deep tech startups. This panel will shed light on the strategies, challenges, and opportunities associated with funding deep tech ventures. Gain valuable insights into the investment ecosystem driving technological advancements.

SQL is a very important language for working with data. People who can write both SQL and Python can work across a broader spectrum in the data world as opposed to people who can do only one of the languages. How does SQL combine with python?

-presenting the various ways to combine python with sql
-exercises for a couple of the approaches

Polars is a lightning fast DataFrame library/inmemory query engine. Its is embarrassingly parallel, cache efficient, andexpressive.

Transforming Electronics: The Pivotal Role of Semiconductors in Emerging Technologies

Explore the pivotal role of semiconductor technology in shaping the future of emerging technologies. Discover how semiconductors are driving innovation and revolutionizing various industries, from AI to renewable energy, in this engaging discussion.

Generative AI
Google's MakerSuite & PaLM API

IEEE Region 8 Finals: Pitching Competition

Witness the excitement of the innovators and entrepreneurs from Region 8 compete in the IEEE pitching competition. Join us to celebrate and support the next generation of visionary technologists as they present their groundbreaking ideas and solutions.

A Data Science engineer has a lot to play with data, algorithms, and statistics, whereas a DevOps engineer has a lot todo with infrastructure and automation. Can MLOPS integrate the two functions? What does it mean for

Open for sponsors

Hands-on session on building stunning, self explanatory reports that non data scientists can explore on their own. In this tutorial, one of the creators of ipyvizzu shows how their technology works and how it can be used within Streamlit . Then, members of the audience will build their first animated reports using samples shared with them. No previous knowledge of ipyvizzu or advanced interactive data visualizations is necessary.

This talk will focus on introducing the three main concepts of observability

- Structured loggingMetrics
- Tracing to your Python application

The learning objective is to understand how produce the data, gather the data, analyze the data and finally understandthe data. This will be done through actual examples using some python tools and popular exporter useful to analyzeand understand the data.

Scholarships to the value of Euro 9k3 x Data Science Infinity Memberships ($3k each)

Python is a programming language known for its usefulness and ease of readability, making it an excellent choice forquickly creating services. These services can be scaled to millions of users. However, a myriad of problems comeshidden with it during the development phase if observability driven development is not followed like the inability tomeet the SLAs, poor performance, difficulty in tracking business metrics, etc and this can lead to anti patterns insoftware. Metrics such as these can be valuable for root cause analysis, driving business goals, component levelmonitoring, improving performance, and so on. In this presentation, I will discuss how to adhere to best practices forobservability and reliability when building a Python service from the ground up. I will explain the meaning of eachconcept, how to establish a culture that promotes these practices and provide a detailed code walkthroughdemonstrating how to implement these concepts effectively.

The small WiFi router for the small office/home office (SOHO) might have weak security making it easy for intruders toaccess your network. Using Python and nmap, you can develop a tool for monitoring devices connected to yournetwork and access these results in a Django web app.

Python is currently number one language for data science, will this still be so in 10 years? Should we still learn how tocode in Python?

In this workshop, we will explore how Sherlock Holmes, the famous fictional detective character created by Sir Arthur Conan Doyle uses Mathematics and Python programming language to solve crime mysteries. Mathematics is a science and one of the most important discoveries of the human race on earth. Math is everywhere and around us. It is in nature, music, sports, economics, engineering, and so on. In our daily life, we use mathematics knowingly and unknowingly. Many of us are unaware that forensic experts use mathematics to solve crime mysteries. In this workshop, we will explore how Sherlock Holmes, the famous fictional detective character created by Sir Arthur Conan Doyle uses Mathematics and Python programming language to solve crime mysteries. In short, the workshop begins with an introduction to forensic mathematics and covers basic principles thereby setting the stage. Then, we will solve simple crime puzzles using mathematics and simple python scripts. Finally, we will solve a few complex hypothetical crime mysteries using advanced python concepts. The participants will learn how to use the concepts of mathematics such as statistics, probability, trigonometry, and graph theory, and python and its packages such as SciPy, NumPy, and Matplotlib to solve the crime puzzles.

Explore how you can unify your Identity security strategy from on-prem to the cloud and back again with a modular and integrated Identity Governance and Administration, Access Management, Privileged Access Management, and Active Directory Management portfolios"

The use of Knowledge Graphs and Graph Technologies has rapidly gained popularity in various fields, includinghealthcare, finance, and e commerce in recent times. This talk will explore the ethics and implications of thesetechnologies, highlighting the potential benefits and drawbacks

Learn how statistics can be preserved while changing a dataset''s shape and how the research was translated into a
package.
Statistics do not come intuitively to humans; they always try to find simple ways to describe complex things. Given a
complex dataset, they may feel tempted to use simple summary statistics like the mean, median, or standard deviation
to describe it. However, these numbers are not a replacement for visualizing the distribution.

To illustrate this fact, researchers have generated many datasets that are very different visually, but share the same
summary statistics. In this talk, I will discuss Data Morph, an open source package that builds on previous research
using simulated annealing to perturb an arbitrary input dataset into a variety of shapes, while preserving the mean,
standard deviation, and correlation to multiple decimal points. I will showcase how it works, discuss the challenges
faced during development, and explore the limitations of this approach.

This workshop will explain the basics of Continuous Integration and help you build efficient CI pipelines.

* What is Continuous Integration, and why it''s important for the
* Overview of different types of CI from the local pre commit hooks to Gitlab pipelines.
* How to build and optimize CI

Predictive analytics is used in various organisations to transform existing data into future decisions. Churn prevention, customer segmentation or risk modelling apply across various industries, from financial services to retail, telecommunications to public sectors. End users benefit from better experiences and increased productivity, whereas companies stay competitive in the market, ultimately improving microeconomics. At the same time, data scientists need to stay up to date and develop systems that can handle a growing volume of data and machine learning models with ever-improving performance. They look for solutions that can handle more than one application and ensure scalability and reproducibility of the projects. This presentation will cover how to build predictive analytics applications at scale, including ways to take advantage of the continuously growing volumes of data. This talk will feature the main use cases of predictive analytics and how to roll them into your business, ensuring you leave the session geared with knowledge on how to apply predictive analytics within your company using open source tooling such as Spark or Kubeflow.

When running a Data Science project, leaders run into many problems that can be detrimental to the success of their project.

These include:

1. Hiring the right people for the job.
2. Finding the right data.
3. Engineering and Integration.
4. Convincing users on adoption.

We will identify common issues and some of the ways to mitigate risk on your Data Science projects.

Comprehensions make your Python faster and more idiomatic - but they''re confusing. Join this workshop, and master them. In this hands on workshop, participants will learn about comprehensions:

• The three different types (list, set, and dict)
• How to write them in an idiomatic, readable style
• Ways to use them for clearer, more efficient Python code

The workshop will include numerous hands on exercises, to ensure that participants actually learn the material. And of course, there will be ample time for Q&A.

A crash course into tokenization and abstract syntax trees touching on static analysis and testing tools like pylint, blackand Cosmic Ray.

Demo of a generative AI application to read financial records of banks and calculate the important financial ratios like company’s liquidity, operational efficiency, and profitability and assess the performance .This application can automate the tasks of financial analysis and reporting and provide insights and recommendations for decision making for equity buy/sell decision. This can be used by regulators as well to flag risk and take appropriate measures

Identify the security issues related to python packaging and possible solutions to make python packages secure.

Demo of a generative AI application to read financial records of banks and calculate the important financial ratios like company’s liquidity, operational efficiency, and profitability and assess the performance .This application can automate the tasks of financial analysis and reporting and provide insights and recommendations for decision making for equity buy/sell decision. This can be used by regulators as well to flag risk and take appropriate measuresgi

What is native profiling
Signal based native profiling
Example of C API vs HPy

An overview of how we are speeding up Python, including future plans.

A practical overview of pytest, unittest and doctest. We''ll look into the most popular testing frameworks for Python and write some code in order to become familiar with them and to compare their differences. Participants will need a laptop with Python 3 installed.

A talk about source code optimizationhow some common problems can be solved with more efficient code.

This talk will explore how certain educational patterns and techniques foster a sustainable coding culture, withpractical examples and real life lessons learned from significant long term work done in the UK, Ghana andinternationally online.

Through case studies and examples, we will illustrate how these best practices have been applied in various African communities, highlighting the challenges encountered and the lessons learned in the process. We will also discuss howcommunity builders can leverage available resources and overcome potential obstacles to build sustainable and impactful Python communities in Africa.

Building from Python''s iterator protocol through asyncio for efficient I/0. This workshop starts with a deep, hands-on explanation of Python''s iterator protocol, a fundamental technique, when crunching large datasets with high performance. It builds from these basics through generators, and eventually to asyncio, an essential tool for boosting network application performance.

Python is a programming language known for its usefulness and ease of readability, making it an excellent choice for quickly creating services. These services can be scaled to millions of users. However, a myriad of problems comes hidden with it during the development phase if observ ability driven development is not followed like the inability to meet the SLAs, poor performance, difficulty in tracking business metrics, etc and this can lead to anti patterns in software. Metrics such as these can be valuable for root cause analysis, driving business goals, component level monitoring, improving performance, and so on. In this presentation, I will discuss how to adhere to best practices for observ ability and reliability when building a Python service from the ground up. I will explain the meaning of each concept, how to establish a culture that promotes these practices and provide a detailed code walk through demonstrating how to implement these concepts effectively.

• Importing a Python script to the Pandas library
• Defining autoregressive moving average (ARMA), autoregressive integrated moving average (ARIMA) to findalgorithmic parameters for each model

Open for sponsors

Python running on the browser is the new frontier: learn to create amazing applications and games with Python, on the browser, in just 2 hours. Python web applications running in the browser or mobile without a Server? What seemed to be a dream just a few months ago is not possible thanks to PyScript. It is now possible to write websites,apps, and games running entirely on the browser. This Workshop is an introduction to PyScript and will walk you through learning about basic concepts, how to set up your project and create amazing applications.

More specifically:

- Create your project configuration
- Define a python environment with all the dependencies to run your code
- Loading and manipulating with user data
- Writing your python code
- Accessing the DOM and other browser features
- Using Javascript libraries from your Python application
- Optimizing your application
- Look at what’s different between “standard” python vs. Python on the browser
- Exploring creating games with PyScript
- Have a lot of fun and hack together!

Data scientists can bring immense value to almost every company, regardless of size or industry.  But only if the leadership culture supports data-led decision making.In this workshop, we’ll explore what exactly a data-led decision making culture is and what role data-science teams can play in developing one.  We’ll also explore what skills data scientists will themselves need to learn to successfully navigate the politics of corporate decision making.coli

Starfyrea framework that allows for creating reactive frontends using pure Python. Starfyre aims to provide a seamless experience for developers to create web based applications with Python without having to learn new languages or frameworks.

Data scientists can bring immense value to almost every company, regardless of size or industry.  But only if the leadership culture supports data-led decision making.In this workshop, we’ll explore what exactly a data-led decision making culture is and what role data-science teams can play in developing one.  We’ll also explore what skills data scientists will themselves need to learn to successfully navigate the politics of corporate decision making.coli

Over the past few years, GraphQL has gained much traction, especially in the JavaScript world. Python is getting onboard this trend with new interesting libraries. In this talk, we will see how Strawberry makes uses of data classes and type hints to easily create Graph QL APIs.

There’s going to be a recap of the current GraphQL libraries available for Python, what are pro and cons and which one is the best for Django. Then there’s going to be a deep dive of Strawberry, a new GraphQL library that makes uses of data classes and type hints.

What if we can have a tool that helps us to do intelligent load balancing or What if we can do selective compression of the data and extremely fast and light weight transfer of data? Then let me introduce gRPC, the technology that helps us to do all of this and how can we integrate gRPC with Python. gRPC is one of the most new breakthroughs in the world of client server interaction. Using gRPC our client can directly make a call to a server on a different machine as ifit were a local object. gRPC has low latency, high scalability and supports multiple use cases for distributed system. We can even build mobile clients which can communicate to a cloud server. gRPC uses Protocol Buffers which is an opensource mechanism for serialising structured data, which makes payloads faster, smaller and simpler. In this talk we willtry to understand how can we get started with gRPC in Python. grpcio package of python will be used for the demonstration of the examples and we will cover basics of gRPC as well. We will build a basic gRPC service and define protocol buffers for it. Demonstration of how a client and a server can be made through gRPC and how can they communicate.

Event driven architectures (EDAs) and A sync API are being hyped at the moment as the new big thing after REST/Open API and GraphQL. Indeed, EDAs target a real need in today''s application landscape, as systems grow more complex or need to scale both vertically and horizontally. Python can help build such architectures by leveraging existing event bus/queue systems or by providing the needed a sync interfaces directly. The talk will introduce the architecture and terminology around it, such as A sync API, as well as provide insights into different components which can be managed, connected and implemented with Python. It is also meant to spark some more interest in getting Python into a more prominent position within the A sync API community, where Node and Java still dominate.

Join our hands-on workshop and discover how to build fast, production ready APIs using Robyn, a developer friendly web framework for Python. We''ll guide you through key features like GraphQL, Web Sockets, and data validation, aswell as essential topics like app structure, database modeling, and code splitting. With our workshop, you''ll gain practical experience and valuable insights into Robyn''s simple and extensible API, middle ware, and deployment process. Are you looking to build a fast, scalable, and production ready API using Python? Look no further than Robyn one of the fastest and most developer friendly web frameworks on the market! In this hands on workshop, you''ll learn how to use Robyn to build a robust API that can handle a high volume of requests. We will walk you through the key features of Robyn, including its support for GraphQL, Web Sockets, and data validation. You''ll also learn how to take advantage of Robyn''s easy deployment process, fast shipping process, and middle ware functionality to customize your app''s behavior. We''ll cover essential topics like app structure, database modeling, and code splitting using views so that you can organize your code in a modular and reusable way. Additionally, we''ll explore Robyn''s simple and extensible API, which makes it easy to create a custom API that meets your unique requirements. Throughout the workshop, you''ll have ample opportunity to practice your skills and ask questions. We''ll provide a fully functional code base that you can use as a starting point for your own API, and our instructors will be on hand to help you troubleshoot any issues you encounter. By the end of the workshop, you''ll have the confidence and expertise to build a fast, production ready API using Python and Robyn. Whether you''re building a web app, mobile app, or IoT device, this workshop is a must attend event for anyone looking to take their API development skills to the next level. Sign up today and get ready to supercharge your API development workflow!

You''ve heard async is great, it can improve concurrency performance, but you might have heard that you need to use only async code and use only async compatible libraries... but the good news is, that''s not entirely true. So, how can you take advantage of these new a sync features in your current projects that already use blocking code and require some blocking libraries? In this talk, I''ll show you the basics of writing concurrent a sync code, and how to properly mix it with regular code without affecting performance (without blocking the event loop) by using thread workers underneath. All done in a simple and convenient way using modern libraries.

Python''s "sorted"builtin seems simple. But it can be used to sort just about anything. In this talk, I''ll show you:

• How to customize "sorted" by passing "key" functions
• How and when to use lambda and operator for more complex sorts
• How to make your own classes sortable

By the end of this talk, you''ll know how to sort using idiomatic, efficient Python.

A year and a half after its announcement, PyScript is a wildly different project. From major performance improvements to great plugins, PyScript applications allow a new way to create fun and educational opportunities that were not possible until now. This talk summarizes the work done over the past year, and what you might expect in the future.

Writing production level clean code is the most important skill as a programmer one should know, as clean code is way more important than fast code. Code readability enhances a lot when you use Structural and Behaviour design patterns in your classes. In this workshop we will do hands on live coding to understand the applications and use cases of different design patterns in Python. We will re structure already written classes to implement them in a more cleaner way using these design patterns. We will discuss patterns like Strategy, adapter, decorator, iterator etc.

Python is more than a programming language; it has a vibrant community that has been instrumental in its success. In this talk, we''ll explore how community building has shaped the past, present, and explore some initiatives that can impact the future of the Python community. From beginner friendly resources to advanced applications, discover how community building can drive innovation and inclusion in Tech.

This talk will walk through the audience on my personal experience in building the community within the SEA region.At the end of the talk, I hope to give a basic understanding on what is important for community building within a particular region, and what it takes. It is hoped that some members of the audience will be empowered and motivated to start building a community around them after listening to the talk.

Pulumi speeds up your inner dev loop for Infrastructure as Code (IaC) by allowing you to use an IDE giving you statement completion, real time type checking, and interactive documentation out of the box. In addition you can leverage all of the capabilities of the programming language of your choice so you can reduce the total number of lines of code you’re writing.

Have you always wanted to learn Angular? Are you looking to improve your Angular knowledge and learn from basics to advanced Angular? What if we told you that you could create a multi user app with real time communication in this workshop? Sounds exciting? Then your laptops ready. In this workshop, we will walk you through how you can create your first Angular Application. We’re going to use Angular, Angular Fire, Firebase and a bunch of cool techniques to build a production ready web application that you can show off to your friends and colleagues.

You will learn about the following:
Angular CLI
Creating your first Angular Application
Standalone Components
Signal Based Components
Working with Google’s Cloud Firestore
Making API calls in Angular
Angular Routing

We will learn how to make an Angular app available in different languages using Internationalization(i18n). The talk willinclude a code demo which will help the audience to understand the concepts in a better manner.

Since its opensource release, the Stable Diffusion model, and related algorithms such as Dreambooth and LoRa , have been used by hundreds of developers to create new generative AI models and applications. Beyond creating better A Imodels for specific themes, styles, and subjects, the open source community has implemented innovative techniques that reduce the inference time and hardware requirements for running these models. Just as importantly, thesedevelopers have also created countless blog posts, video tutorials, and web apps that make it easier than ever foro thers to get started.

In this talk, we will discuss the impact of the open source movement on the field of AI generated images and explore some of the most exciting projects within the community, made possible by models like Stable Diffusion. We will also highlight some of the challenges and opportunities facing the community as it continues to evolve and grow in the coming years.

Bicep is a language for declaratively deploying Azure resources. You can use Bicep instead of JSON for developing yourAzure Resource Manager templates (ARM templates).

Stable Diffusion is a powerful opensource model that has been widely adopted in the generative AI community. Its flexibility and versatility have enabled developers to fine tune it for a huge variety of themes, styles, and subjects. This workshop will explore different open source projects that build on top of Stable Diffusion, and how they can be used to achieve different results. Participants in this workshop will have the opportunity to learn about the different variants of Stable Diffusion that have been developed by the community. They will also have the chance to experiment with these variants and pick up practical tips for training and using these models themselves.

Performance is very critical for many organizations using Angular. While it comes with tons of optimizations out of the box, it is still possible to optimize Angular apps further based on specific use cases. If you have worked with a medium large scale application with Angular, you may have noticed that as your application grows and you have thousands of components in your app, the performance of the web app starts to become a concern. There could be many reasons why that could happen. And we’re going to explore a bunch of those, with potential strategies. If you want to know the secret sauce to improve your Angular Applications, then join our talk, where you will learn how to write better performing Angular Apps or improve the performance of your existing Angular App.

What you will learn:
State Management
Change Detection Strategy
Lazy loading
Signals
Modulesess Apps
Angular Secondary Entrypoint
Module Bundle Analyzer
Virtual Lists
Precaching with Service Workers

Scaling may be challenging, especially in the context of cloud computing, where resources are constantly provisionedand scaled in response to demand. The talk will address issues such as scalability design, choosing a technology stackfor your cloud infrastructure, auto scaling rules, performance monitoring and analysis. The session will also look atvarious scaling strategies for various platform types, including monolithic and micro service architectures. At the endof this talk, you''ll have a firm grasp of the fundamental ideas and recommended practices for scaling your applicationon the cloud, which will help make your application more reliable.

Open for sponsors

Application development and deployment practices are changing as a result of the birth of cloud native engineering.This session will examine the most recent developments and trends in platform engineering and cloud native application development. We''ll look at frameworks, tools, and best practices influencing the development of cloud native technologies. We will go through the best practices for designing, developing, and deploying cloud optimized apps that benefit from cloud native features like scalability, agility, and resilience. By the end of this talk, you''ll have learned about the most recent advancements in cloud native application development, and you''ll be better prepared to use these technologies to create and deploy cloud native applications.

You’ve decided to move to the Cloud Native ecosystem. You have multiple options and, frankly, are overwhelmed by them. Your goal is to gain the promise of velocity that Cloud Native and containers offer you, but you aren’t sure where to start. You see things like Kubernetes, Serverless, Containers, and Functions, but know you need to understand these things before even touching your Applications.

In this talk, I’ll walk you through the Cloud Native ecosystem so you are aware of what options do exist, but then I’ll show the advantage of leveraging Code-Engine, a Serverless and Functions platform.  This will give you a path to get closer to this promise of Containers and Cloud Native without dealing with the overhead of many other portions of the Cloud Native Ecosystem. I’ll start with a simple local application and deploy it to a vanilla Kubernetes cluster (or docker-compose VM), which is the typical first production step for someone on this journey. After understanding the complexities, I’ll take that same application to Code-Engine, showing the advantage of this unified platform, gaining the “focus on what makes your company money  instead of infrastructure” modern-day challenge.

There are many different options in this space, but if you take this simple journey with me, you’ll learn that it’s not as complex as it seems, and if you take my advice, you’ll have an opportunity to gain that velocity you want.

In this session, we delve into the integration of ChatGPT AI with drone programming to create a more interactive and
dynamic control system for the Tello drone, while also improving the productivity and effectiveness of programmers.
We will explore the foundations of using Unity 3D and .NET for programming, with a focus on networking and
developing a UDP Client and Server that facilitates communication with the drone. This enables us to modify and
refine the drone''s behavior through AI generated messages and commands.

By leveraging ChatGPT AI, programmers can streamline their development process and receive suggestions or insights
that enhance their decision making and problem solving abilities. This AI driven support results in more efficient and
productive development cycles.

We will also discuss the significance of AI and ChatGPT in expanding the capabilities of mixed reality experiences. By
incorporating MRTK (Mixed Reality Toolkit), attendees will gain insight into the mixed reality spectrum and learn
valuable tips and tricks for entering this domain. MRTK serves as a versatile tool that simplifies the transition to
AR/VR/MR development by offering an advanced volumetric UX/UI system and predefined components for cross
platform projects.

The session will culminate in a live demo or video presentation of the drone flying across multiple XR devices,
showcasing the potential of AI driven drone control systems in mixed reality environments. The specific XR devices
featured will be unveiled at the beginning of the session.