Artificial intelligence (AI) has the potential to significantly affect our industry. How can we use AI to improve our programming skills and make us more efficient? In this session, we'll go over the creation of a program using LISP to copy files from one location to another. Once created, we will use AI to convert a portion of that code into a visual basic script (VBS) so that the user can continue to work while files copy in the background.

The Autodesk Research Residency Program is open to external groups in academia, the startup ecosystem, and industries focused on novel project work. The program provides Autodesk with industry insights and offers resident teams access to a global network of innovators, events, and the Autodesk Technology Centers. Resident teams often work alongside Autodesk researchers and peers, fostering a conducive environment for problem-solving, ideation, and development with rapidly advancing technology like artificial intelligence (AI). As leaders in AI research and a trusted partner to industry, Autodesk Research and the Autodesk Residency Program are natural fits for Design and Make teams developing high-impact industry solutions with AI. This session will provide multiple case studies of the AI work taking place within the Autodesk Research Residency Program. We will feature specific teams using AI, and highlight how their participation in the Residency Program is accelerating their work and use of AI.

For several years, KLH Engineers has led efforts to bridge the gap between AutoCAD and Revit software through machine learning, enhancing our deliverable by building intelligent models from CAD plans. Expanding on our foundational work from 2019, our tool now automatically generates Revit wall elements with precise thickness from AutoCAD drawings, eliminating the problem of thin wall creation and significantly saving time. In this session, we'll demonstrate how machine learning is integral to our process. We have incorporated advanced algorithms that accurately place door and window families within Revit models, using AutoCAD data to inform our workflow and put the "I" back in building information modeling (BIM). Join us to see these advancements in action and learn how they can enhance your design process, making it faster, smarter, and more precise.

The evolution of design and drafting has increasingly given us tools that inform and expedite our processes. But what can we learn from the implementation of CAD, building information modeling (BIM), and now AI to prepare teams for the future of design tools? Working at a multidisciplinary design firm encompassing planning, landscape, architecture, and interiors has shown me that technology adoption and digital maturity happen at different rates. But regardless of the tools used and efficiency in practice, projects are completed. Focusing on the finished work, lessons learned can become the quantitative outcomes we bring to the beginning of projects in this era of outcome-focused process. By distilling 50+ years of digital asset creation and the analysis of completed projects, we can uncover the potential embedded within our digital archives.

Much has been made of the existential threat AI poses to many professions. However, due to the complex nature of architectural projects, we need not fear losing our design agency (or employment) to an AI architect. While there's work over which architects want and need to maintain control, there's also plenty of work that architects would gladly hand over to an AI bot. Using AI allows architects to focus on meaningful design work, rather than tedious minutiae. Also, by passing off more-menial tasks to AI, junior staff can be empowered to get more-meaningful experience. This will be demonstrated through practical examples of how AI is integrated into multiple workflows and processes at ZGF Architects, including project benchmarking, Revit automation/standardization, and semantic search of code documents.

This session will explore the innovative integration of building information modeling (BIM) and artificial intelligence (AI) in advancing sustainable design, focusing on achieving LEED certification through an AI-powered BIM Process. The merging of AI with BIM marks a significant leap in design precision, efficiency, and sustainability, setting new industry benchmarks. This integration transforms the approach to LEED certification, using AI-driven analytics within BIM tools to make sustainable design accessible and effective. Through practical examples and case studies, attendees will gain insights into the practical application of different technologies—such as chatbots and dynamic dashboards—in real-world projects. This session aims to equip professionals with the knowledge and tools to use the synergy between BIM and AI, pushing the boundaries of what's possible in sustainable design.

Artificial intelligence (AI) is revolutionizing the operation and management of public water systems, improving efficiency, reliability, and sustainability. However, there is uncertainty about the value it can bring. By understanding these dimensions, participants will be better equipped to navigate the complex landscape of AI in water, fostering responsible and sustainable practices for the benefit of communities and the environment. We will discuss a multi-tier approach to using AI-enabled technology, such as that developed by Autodesk, to equip users to proceed with use of the technology. Each of the four tiers—cost-focused AI, performance-driven AI, human-centered AI, and socially responsible AI—has business goals and stakeholder values connected to it. For example, cost-focused AI results in efficiency gain or increased profits, whereas performance-driven AI would result in improved customer service or reliability, and socially responsible AI provides equitable infrastructure.

Although the character-animation process has been largely digitized, the fundamental approach has remained relatively unchanged for more than a century. Animators create performances by creating key poses, which they then string together in a sequence to create motion. They continue to add and finesse these keyframes until they get a believable performance. In this presentation, we will demonstrate a new approach to character animation that uses AI to transform the way animators work. With neural motion controllers, we use machine learning to model how characters move and behave. An animator then only needs to specify high-level intent, like when and where they want the character to move, and the neural motion controller does the tedious work of producing natural, believable motion. We will also demonstrate that by connecting this new technique with core Autodesk capabilities, we can create a production-ready workflow where animators retain full artistic control over the final animation.

Teaching Tectonism to AI"" is an exploration that focusses on the convergence of AI and tectonism. Tectonism, as a leading subsidiary style of parametricism, poses a unique challenge for current text-to-image AI tools due to their limited comprehension of structural dependencies in architectural representations. The presentation will showcase the potential of merging structural topology generation tools with Generative Artificial Intelligence across various architectural typologies and how this is integrated into early stage ideations at Zaha Hadid Architects.

Bifrost is a powerful graphical programming environment for creating procedural visual effects simulations, geometry, rigging, and animation. In this session, we'll showcase new, modular, deep-learning workflows in Maya software using Bifrost. We will demonstrate how to use Bifrost for procedurally generating training data for AI systems, as well as how to deploy trained AI models in Bifrost using new Bifrost nodes designed for deep learning. The session will include practical examples of industry problems that are suited to a media and entertainment audience, such as using AI for complex rigging kinematic solvers.

In this session, we'll explain what machine learning (ML) is, what it's used for, and how it falls into the discipline of artificial intelligence (AI), data science, and computer science. We'll also provide an overview of how ChatGPT works, and what other kinds of ML applications and models you can use to solve problems using data from Autodesk Construction Cloud, building information modeling (BIM), or any of our Autodesk services and APIs. This session will benefit everyone who would like to enable their teams to quickly gain insight from historical data, speed up learning, and create a more agile collaboration environment.

Blocks are important in AutoCAD software. Working with blocks is not always fun, and can be tedious. There are missed opportunities when objects should be blocks, but are missed or the effort does not justify the reward. And if you always insert a block a certain way, shouldn't AutoCAD just know this? AutoCAD 2024 software introduced machine learning to help productivity. The block-related features got even smarter in AutoCAD 2025. Let's take a deep dive into this. Like what? Finding the blocks to replace is no longer a tedious exercise. AutoCAD now offers assistance by suggesting blocks that are similar to what you've picked or recently placed. AutoCAD can place blocks in a manner similar to a recently placed block. Discover a workflow to convert multiple instances of selected objects into blocks. Or use the AI-driven Object Detection feature to scan your drawing and find objects to be converted into blocks.

Join us to learn about our product strategy and all upcoming initiatives across our platform solutions for Insight and Autodesk AI. In this session we will be gathering feedback around tools within Autodesk Construction Cloud like Reports, Data Connector, Dashboards, and Construction IQ as well as learning about new Autodesk AI powered capabilities currently in development. This is a unique opportunity to influence the product roadmap and explore new ideas about the future of our products with our R&D teams.

While professional artists use high-fidelity animation techniques—pioneered and refined by Autodesk's animation products MotionBuilder, 3ds Max, and Maya—in games, film, and design production pipelines, we ask the questions: What if the user is not as skilled? What if their requirements for control are not as stringent Could we leverage new input modalities to allow untrained creators to record and edit 3D motion in just a few minutes? We'll discuss the speed and utility afforded by animating in a completely new paradigm: One that allows you to express intent with your body, fingers, face, gaze, and speech while enhancing presence, storytelling, and collaboration in real-time immersive experiences, and engaging your spatial understanding, reasoning, and memory to author 3D animations. Come and hear what our panel of experts from Meta Platforms, Workshop XR, Entertainment and Media Solutions as well as Autodesk Research have to say.

Join us for a talk on how you can easily integrate generative artificial intelligence (AI) into various 3D project workflows using tools such as Revit software or 3ds Max software via the NVIDIA Omniverse platform and OpenUSD interchange. We’ll show you examples of how to automate tedious 3D work and alleviate time-consuming tasks to help accelerate time to production and maximize creative exploration. You’ll learn how to connect generative AI tools and technologies such as ChatGPT or LLM integrations, Instant NeRF, and Omniverse DeepSearch to take over repetitive work, freeing up time to focus on more-meaningful work. You’ll also learn how to use generative AI to improve the quality of your work and create new and innovative products and services. This talk is essential for anyone who wants to stay ahead of the curve in the ever-changing world of technology. Don't miss out on this opportunity to learn how AI can help you do more of what you love.

To meet global demand for affordable and sustainable housing, the architecture, engineering, and construction (AEC) industry must streamline the design-to-construction process. Modular builders—like Factory_OS—are doing just that by productizing their building systems to generate customizable buildings from a catalog of construction-ready unit types. With Factory_OS, Autodesk Research has developed new design methods that connect their building unit catalog with AI-powered generative design to create multiple design options. This case study demonstrates how new procedural design systems enabled rapid, no-code design exploration while balancing trade-offs between cost, carbon, and habitability. The study also showcases how the prototype made it onto Autodesk Forma using the developer extension model to deliver customized novel design functionality and metrics. Going beyond existing capabilities, Autodesk Research and Autodesk Forma enabled Factory_OS to rapidly and intuitively evaluate new development projects in a data-informed manner.

Learn how high-resolution imagery products like True Ortho imagery, 3D textured mesh, 3D point clouds, and DSM/DTM can set the stage for designing the built environment, provide site-wide content at any scale, and help jumpstart any project. AI and machine learning help identify and extract raster and vector features that give context to the design. These AI features can include building footprints, impervious surfaces, vegetation levels, infrastructure locations, pavement markings, and more. These powerful datasets can be used as the source data for your design or can be further leveraged to create additional content like linear feature extraction, surfaces, contours, and 2D/3D project visualizations.

Based on macroeconomic data and Autodesk's product insights, we surface trends in the construction industry. Which construction segment is growing the fastest or struggling the most? What region looks most promising for new investment opportunities? We also visualize the main challenges industry players are facing, and we show how emerging technologies, as well as Autodesk's construction software, can help them overcome those challenges.

In the post-pandemic era, organizations grapple with a dynamic workforce, making knowledge transfer a significant challenge. This fluidity necessitates that knowledge is not only stored effectively but also promptly retrievable when required, given the constant influx and outflow of personnel. Autodesk Construction Cloud, with its unlimited storage capability, is aptly serving as a robust knowledge vault for Sunway, enabling the firm to overcome this hurdle. The Autodesk Construction Cloud Files feature allows us to search keywords within contents, a strength we've capitalized on to maximize its utility. Today, we're pushing boundaries further by integrating Autodesk Construction Cloud with ChatGPT via OpenAI API. This integration embeds our files into vectors, forming the foundation for a Q&A system. This groundbreaking approach signifies a knowledge revolution, ensuring seamless knowledge transfer and accessibility, regardless of workforce dynamics.

With each release of AutoCAD software, Autodesk adds new features and enhances existing features. In this session, we'll take a look at the compelling new and enhanced features included in AutoCAD 2024 software. See the enhancements made to importing markups into your drawings! Discover how machine learning improves productivity with Smart Blocks, and learn how you can better track the changes made to your drawing files with Activity Insights!