In this class, students will learn the basics of machine learning and how they can apply it to building design and construction. First, we'll talk about the history of machine learning and how it has been used in literature and the building industry. Then, we'll talk about some easy-to-use machine learning algorithms and try to implement them in Dynamo Studio software. This class does not require any prerequisite knowledge or skills.

What are the possibilities when we talk about IoT (Internet of Things) and BIM (Building Information Modeling)? Well, when we integrate through Forge intelligent models and Microsoft Azure IoT Hub, we can have a world of possibilities and insight with machine learning. In this lecture, you will see how data collected with BIM 360 software to make an inventory were connected with equipment in the building to monitor what was going on and make predictive analysis, in order to cut building maintenance costs. You’ll see how BIM 360 Ops software can be used to open and close maintenance tickets.

This roundtable discussion will get you up to speed on what machine learning is, what research is currently in development for Fusion 360 software, and how it impacts you. As Autodesk becomes a data company, machine learning can add value to your product development process in a variety of ways. We’ll start the discussion by giving practical examples of the types of problems that machine learning can help solve for product design and manufacturing. We’ll then guide participants through several exercises to identify opportunities, contribute your priorities, comment on the current plans, and learn how to get involved in the future. This is also a great forum to share any concerns about this technology to an audience that can take your feedback into the development plans and have an open discussion about what Autodesk should be doing to address them.

Machine Learning (ML) techniques are now widely being used in almost all industries. This course focuses on how you can use ML in  the design of Mechanical Systems. We will share our insights on developing a methodology for quickly building a ML design app for the most common control valve type (the Symmetric Butterfly Valve), and how you can use numerical or experimental data generated from simulationHub to train your models. This class will step through machine learning fundamentals, data analysis, training and validating a ML model; and how to generate new 3D designs based on ML using Autodesk Forge.

This class dives into our cross-divisional project at Autodesk for the making of a SmartBridge inside our Pier9 facility.We'll walk through our case study where we used structural analysis, Eagle, Revit and Forge to design and plan the layout of sensors onto an interior pedestrian footbridge. Using sensors for strain, acceleration, temperature, pressure, humidity, sound and cameras, we created the "nervous system". We then integrated all this live sensor data into Autodesk's cloud environment, and used Forge to bring all the data into one context on top of the BIM.Using data at the centre, we'll show you how we learned from the data to create various machine learning analytics for interacting with people on the bridge. In our class, we'll go over how we applied big data analysis techniques, machine learning, computer vision and visualization in the cloud to make our bridge "smart".(Joint AU/Forge DevCon class).

With the advent of machine learning and advances of technology adoption in the construction industry, the bar is moving higher for general contractors; as a general contractor, you must make sure you stay abreast of recent advances and are well positioned to capitalize on data for managing risk. In this class, using a case study, we will go over the following: how the next-generation BIM 360 platform is designed to create a single source of truth for the lifecycle of projects and a storage for all data in one place where a general contractor can use different solutions in a connected manner; and how Autodesk is going to take it a step further and by Project IQ, make the platform the source of intelligence through the project.Regional quality director from Swinerton, Project manager from Layton, and Technical Deployment Specialist from Bam will then talk from their perspectives about their experience on adoption of BIM 360 to capitalize on data to manage risk and make decisions, and how they feel the platform is transforming their day-to-day job and productivity.

This class will examine designing environments for visually capable Machine Learning Agents to train in. Looking at both modular, procedurally generated environments and non-generative spaces, the class will cover constructing environments to promote generalization and learning. Additionally, the class will give an overview of the design constraints imposed when training AI, including vision sizing, computing power, and graphic fidelity. The class will dissect the Unity Obstacle Tower Challenge environments, including their construction in Autodesk Maya, the modular structure, and procedural generation. The class will also survey the possible issues in adapting an existing digital environment to use with AI.

With the rise of artificial intelligence, machine learning, and prefabrication, a lot is going to change in the next five years. During this roundtable, we would like to have a discussion on how these new technologies will change our current processes, our company, and our careers. How will prefabrication and modular construction affect the build process? Will machine learning replace structural engineers? How will computational design affect architects? Will everyone in our industry have to be a computer programmer? How much of it is hype versus reality? These are the types of questions we’ll be asking and will want your knowledge on. Come join our community of thought leaders and industry disruptors as we tackle practical ways to advance the architecture, engineering, and construction industry!

Virtual reality (VR) and augmented reality (AR) tools have found a niche in real estate sales and marketing, and they are having some impact on design decision making, but the real impact on construction lies just over the horizon when gaming technology, wearable computing, and machine learning will deliver a rapid proliferation of multiplayer collaboration environments for process planning to optimize design, sequencing, coordination, and safety planning. This class will take an industry look at where we are today, and what the near-future and long-term-future states of VR and AR are likely to be. This session features Autodesk Stingray and Maya. AIA Approved

Join Chris Bradshaw Senior Vice President of Media & Entertainment, Education Experiences, and Impact at Autodesk to learn about the trends that will help create your future of making things. We’ll feature stories from companies around the world who are embracing new methods and technologies to catapult how they innovate. Foster + Partners’ Martha Tsigkari and Miles Walker will discuss the impact of computation and innovation on the design and delivery of projects such as Mexico City’s airport. Autodesk’s Mike Haley will give a peek into what’s on the technology horizon, including machine learning, AR/VR and robotics. You’ll leave inspired to embrace this future in your own work.

This session focuses on building customized rendering workflows in the Dynamo 3D Background Viewport, allowing very efficient display of geometries. Furthermore, by tracking the mouse position in the 3D viewport, interesting ways for users to directly manipulating the 3D objects can also be done! This will open up many possibilities for integrating exciting computational design algorithms into Dynamo, especially those that relies on iterative algorithms commonly found in computational geometry, optimization, simulation, machine learning, etc... An example of what can be achieved with this kind of approach is DynaShape, which features real-time interactive physical and geometric constraint solver.

"One of the biggest hurdles in using an STL mesh model for a downward manufacturing application is the lack of geometry feature information in the STL file. This class will demonstrate how machine learning techniques can be applied to extract geometrical information from mesh models; and explain the process of building machine learning models, feature engineering for mesh data, and parameter tuning. We will also cover Autodesk Forge integration for data translation and viewing; and demonstrate how to use AWS cloud infrastructure such as GPU computing for big data and AWS Lambda for fast online predictions."

Construction IQ powers the BIM 360 software’s prediction and analytics ecosystem with built-in machine learning and AI functionality that automatically analyzes data collected and stored in BIM 360 to help to identify and prioritize the construction risk that happens every day during project execution. Get a peek into how the AI in BIM 360 Construction IQ makes decisions to provide predictive insights to the users. This will be followed by a live product demo and walk-through of how to get the most out of Construction IQ and the BIM 360 dashboard ecosystem. Gain important tips and tricks on how to obtain better and better results daily by incorporating Construction IQ in your workflows, and learn from the success of some of our customers about how to use the power of data. This will be an excellent opportunity to interact with the product team and get your questions answered.

The Fusion 360 Drawings Team has started its journey to achieve a more efficient drawing creation workflow so that a designer can focus better on the real design work. Starting from the very versatile but easy-to-use Center Mark Pattern feature, this class will show how these new functionalities and algorithms can help greatly reduce both the workload and the learning time of the drawing process. And we'll discuss the future of faster dimensioning, smarter (automatic or semi-automatic) view and annotation creation, and user style machine learning.

There is a well-established precedent for predictive analytics in business. In 2009, Google built a predictive model using years of data to determine which employees were most likely to quit. Suffolk and Autodesk partner Smartvid.io partnered to explore if predictive analytics could be applied to safety in construction. In this class, Jit Kee Chin, Suffolk’s EVP and chief data officer, and Josh Kanner, founder and CEO of Smartvid.io, will discuss how 10 years of BIM 360 Field software and other data sources were combined to create a safety predictive model. We’ll show examples of the data, discuss machine-learning frameworks for computer vision as well as predictive analytics, and we’ll present the results of the modeling exercise, how it can be displayed to the user, and what may come next. Attendees will participate in a discussion on what this new ability to see into the future could mean for the operations, human resources, and legal structures of construction?

Autodesk is bringing together human experts, machine learning, and self-help to answer your questions and get you back to work faster. In this session, you'll hear in depth about the new unified help feature that you’re starting to see on Autodesk.com pages. Hear what we're doing with artificial intelligence for more relevant answers and quicker connections to the right human experts. See behind the scenes of the new capabilities—and influence what’s to come.

The great news is that immersive technology is becoming a critical deliverable for today's construction projects. As such, the need to differentiate by creating immersive experiences unique to your business is a top priority. The problem we're addressing here is that this workflow is technically daunting, time consuming, and requires talent to produce. To compound this issue, your augmented reality (AR) and virtual reality (VR) talent are spending a lot of time performing laborious manual tasks that can easily be automated. In this class, you'll learn how Autodesk can help you differentiate your company and create valuable, immersive experiences by capitalizing on Forge Design Automation services together with machine learning to automatically prepare your BIM 360 models for AR and VR.

Data sources in construction are exploding. Mobile devices and apps like BIM 360 Field are capturing and storing thousands of photos on typical projects. Drones, scanners, wearables and other construction management apps are adding to the mountain of data collected as a by-product of their use. To bring structure to our interpretations of these growing data streams, machine learning solutions are being applied to sort, filter, and surface insights so that projects can find the information they're looking for and make better decisions. This class will look at some early practical examples such as photo and video recognition for management and sorting of construction images, and predictive analytics in terms of highlighting high risk quality and safety issues. We'll also consider where the industry is going, as disparate data sources and applications become more integrated.

Construction is the last sector (after agriculture, manufacturing, and mining) that continues to throw thousands of people at a problem, working with chronically low productivity in physically and mentally challenging conditions. The time has come to apply learning from other sectors and vastly increase productivity in both the design and delivery of assets. The shift to digital design is accelerating, thanks to sophisticated, data-driven tools that go beyond BIM (Building Information Modeling). Algorithmic simulation, machine learning, and generative design vastly accelerate the process. Better still, they generate far more possible solutions, which means better outcomes. Meanwhile, new forms of construction are harnessing the benefits of manufacturing. Construction “platforms” combine design, manufacture, and procurement principles holistically to ensure a greater degree of rationalization and integration. Manufactured components can be used across sectors creating high, constant demand and economies of scale.

The class presents cost management strategy using web based system that includes Forge. In the system, we focused to analyze legacy project data interactively for on-going project with Machine Learning Algorithm In an attempt of 5D BIM. It supports decision-making of cost control at the initial design stage when Revit model don't have detail object for estimation. By improving quality of cost estimate in initial design stage, it is easy to manage the cost within target budget through project. We will focus on as billow; a. How to get past project data interactively through WebAPI of internal system. b. How to get and share on-going project data with "Data management API " and "Viewer" of Forge. c. Data analysis techniques for cost estimation of on-going project using "scikit-learn" that is machine learning library in Python. d. Data cycle system to improve quality of analysis, constantly. This session will explore the above technique as it has been used for actual building projects.