MATLAB EXPO 2022

The climate crisis is here. Engineers and scientists are engaged to help. Engineers innovate rapidly to decarbonize energy production, electrify everything, and design sustainable products. Scientists accelerate their research to inform climate adaptation and enhance understanding through advances in cloud computing and artificial intelligence. And educators train the next generation to take these advances even further. In this talk, you will learn how scientists and engineers use MATLAB^® and Simulink^® to tackle this great challenge—to save the earth and build a clean, electrified future!

Learn about new capabilities in MATLAB^® and Simulink^® to support your research, design, and development workflows. This talk highlights new tools for increasing productivity, such as interactive apps and Live Editor tasks in MATLAB for automating tasks and calculations without writing code, and new features in Simulink for running simulations in parallel. You’ll also see new capabilities for workflows involving other tools, languages, and technologies, including using Python^® with MATLAB, and exporting content from Simulink as standalone functional mockup units (FMUs). Additionally, new capabilities for sharing your MATLAB code and Simulink models will be showcased, including publishing MATLAB functions as Docker container-based microservices and generating a configurable MATLAB UI from a Simulink model.

The artificial intelligence (AI) and data science workforce continues to expand and demands more talent to meet industry needs. While technologies have accelerated rapidly in industry, incorporating these evolving technologies poses a challenge to universities to align educational experiences with the evolving workforce needs. There is growing and urgent recognition of the potential for racial and other forms of bias that can shape AI and data science with significant social and economic impacts on individuals and communities.

Developing mutually beneficial industry/academia collaborations can bring novel insights that enhance both research and educational experiences while fostering diversity, equity, and inclusion. To drive real social impact, cross-sector efforts must also build trust to catalyze AI/data science advances that benefit society. These high-impact relationships can lead to new courses, programs, and research endeavors that will enhance AI/data science technologies and the workforce. The Atlanta University Center Data Science Initiative works across Clark Atlanta University, Morehouse College, Morehouse School of Medicine, and Spelman College and facilitates collaborations with industry.

The Initiative developed a new AI course that infused AI4ALL’s curriculum with current ethical challenges. A partnership with NielsenIQ resulted in a hands-on course where students develop strategies to address a posed business case and connect with working professionals. By working with Greenlink Analytics, faculty will be engaged to use mapping tools that uncover inequities through data. With support from Google Health, social work faculty will use data to drive the development of better treatment and methodologies to address social determinants of health. In addition, partnerships with UnitedHealth, The Coca-Cola Company, SAP, Truist, The Home Depot, and Uber expand participation in AI/data science and encourage new advances on how to address bias and ethics in AI/data science.

This session will explore how to develop effective collaborations that lead to educational pathways for all students. It will also show how researchers in the Atlanta University Center are developing new ways to inform the development of AI and data science that minimize racial biases.

At Rolls-Royce, we have a long, proud history as pioneers of the power that enables the modern world to function.

However, no individual company, sector or technology has all the answers. That’s why we are forging partnerships across borders, industries and technologies to seek out - and scale - solutions that can get us to net zero.

Our customers use our products and services in industries such as aviation, shipping and energy generation.

The climate crisis means the way humans use power must become compatible with net zero carbon. We believe technology can be a force for good, and that, as the world emerges from the pandemic, sustainable economic growth is possible. For us, the transition to net zero is both a societal imperative and the greatest commercial opportunity of our time.

The societal need is great. The business imperative is clear. There are few companies better placed than Rolls-Royce to pioneer the vital solutions we need to create a net zero future.

These are among the industries where reducing carbon emissions is hardest. This makes our innovation in these sectors all the more important in enabling the global transition to net zero. Our pioneering work can accelerate technological breakthroughs and have positive impacts across the key areas of transport, energy and the built environment.

At Rolls-Royce, we have a long, proud history as pioneers of the power that enables the modern world to function.

However, no individual company, sector or technology has all the answers. That’s why we are forging partnerships across borders, industries and technologies to seek out - and scale - solutions that can get us to net zero.

Our customers use our products and services in industries such as aviation, shipping and energy generation.

The climate crisis means the way humans use power must become compatible with net zero carbon. We believe technology can be a force for good, and that, as the world emerges from the pandemic, sustainable economic growth is possible. For us, the transition to net zero is both a societal imperative and the greatest commercial opportunity of our time.

The societal need is great. The business imperative is clear. There are few companies better placed than Rolls-Royce to pioneer the vital solutions we need to create a net zero future.

These are among the industries where reducing carbon emissions is hardest. This makes our innovation in these sectors all the more important in enabling the global transition to net zero. Our pioneering work can accelerate technological breakthroughs and have positive impacts across the key areas of transport, energy and the built environment.

Scientist and engineers at Shell have been using MathWorks products for 30 years to solve their technical challenges. With the revolution in cloud computing and the explosion in open-source technologies and APIs over the last decade, Shell has been on a strategic journey to develop their own digital transformation roadmap. Our most valuable assets are our data and the people who understand that data. Extracting the most from our data in terms of insights, predictions, and enablement also requires working with strategic partners, solution providers, and vendors. We are proud to have MathWorks as part of our ecosystem and transformation. MathWorks and Shell have worked closely together through DevOps to accelerate operationalizing projects across business and the end-to-end value chain. Notable deployments include Quest, a CO2 surface scanning and monitoring solution above Shell’s first carbon capture and storage (CCS) installation; MADA, an exploration tool allowing geoscientists to analyze stratigraphic analogues; and several manufacturing tools that that allow a plant to run optimally. MathWorks tools such as MATLAB Production Server™ and MATLAB Web App Server™ form part of the Shell.ai self-service DevKit, which is the technology stack backbone for developers, scientists, and technicians to develop, build, test, and deploy their AI solutions. Looking to the future, Shell is committed to strengthening its partnerships through the Open AI Energy Initiative (OAI) and framework. The intent is to have an integrated, interoperable platform that allows for rapid development and deployment of AI solutions at scale that can be commercialized, supported, and maintained at an affordable cost. Shell understands that a cross-sector approach is the best way to develop AI tools for the energy industry and its transition to new energies.

Gulfstream will describe the novel Electronic System Architecture Modeling (eSAM) method that they developed over the last three years, which utilizes System Composer™. eSAM models the integration of electronic components, subsystems, and systems at the data-exchange level. The model serves as a rich electrical interface control document (ICD). We will demonstrate the customizations that MathWorks helped to create to support the realization of the eSAM vision.

We will present key characteristics of the eSAM method:

• data and message model constructs
• part reuse through template-instance modeling
• component allocation to shared platform resources (computing and input/output interfaces)
• layered modeling which leverages a black-box integration approach 

It’s critical that the eSAM modeling process is easy to learn because Gulfstream is planning to roll out the modeling approach to their supplier base. System suppliers will deliver an eSAM-compliant model, and Gulfstream will integrate those models together to form an integrated aircraft system model. As a true model-based development (MBD) approach, lower-level, platform-specific tools read in the System Composer eSAM model and autogenerate the configuration for the data routing between systems—for example, network switch routing tables and data gateway configurations. This alleviates the need to manually edit low-level configuration files that are typically in the form of XML. The model is also used to generate electrical ICD reports to document the system interfaces.

The eSAM method was greatly enabled by new System Composer capabilities in the R2021b release. The modeling method is still in a development maturation phase. Gulfstream is looking for interested partners to learn more about the eSAM modeling approach and help mature the modeling standard. Please contact the project lead, Chris Watkins, if you are interested via email: chris.watkins@gulfstream.com.

Artificial intelligence is having a dramatic impact on farming operations. It removes the guesswork and instead helps farmers implement a precision-based approach to farming that offers increased efficiency and productivity, along with safety and environmental benefits. Praveen Penmetsa is leading the AI charge into agriculture with Monarch Tractor, a fully electric, driver optional, smart tractor. Join Praveen to learn about the challenges today’s farmers face and how AI is helping solve those problems for a better tomorrow.

Vehicle features and capabilities are transitioning from being mostly mechanically defined to being software defined. Premium vehicles today can have up to 150 million lines of code executing complex algorithms in their ECUs. OEMs are adopting agile software development methods to update and maintain software, driving the need for DevOps practices and tools. NXP, MathWorks, and AWS have collaborated on a DevOps solution for Model-Based Design for vehicle control algorithms. In this talk, AWS will present the full cloud-to-vehicle solution built with AWS developer tools by using MathWorks design tools and targeting execution on NXP vehicle network processors.