Motors are becoming better and cheaper—opening profitable new applications across industries. In this course for engineers and product designers, you will learn to assess and design electric motors, generators, and drive systems, with emphasis on electric drives, including traction drives and drive motors. You will also explore how modern embedded controllers enable command through digital computation, breathing life into electric machines and motion control applications.
Ready to revolutionize transportation systems and discover how disruptive innovations are reshaping the mobility sector? In this immersive five-day course, you will learn to analyze and optimize transportation systems using the latest research from MIT and beyond, delving into demand and network modelling, artificial intelligence, simulation, optimization and control. These methods are explored alongside selected future solutions, with a focus on user-centric new smart mobility services , automated and AI-driven vehicles and alternative energy vectors for decarbonizing transportation. Through real-world case studies, professionals from transport service providers, urban and mobility planning, automotive, and transportation sectors can gain actionable insights to address current and future transportation challenges.
The three-day course explores the fundamentals and latest innovations in the study of friction, wear, lubrication, and design of tribological systems. Participants will acquire the skills needed to improve the reliability and durability of tribological systems. Learners will dive deep into fundamentals, trends, strategies, and modern methodologies needed to design the next generation tribological systems.
This course may be taken individually or as part of the Professional Certificate Program in Design & Manufacturing.
Join the cutting-edge of intelligent material design and discover how to integrate advanced technologies to drive the development of next-generation smart materials. In this condensed five-day course, you will participate in hands-on clinics and labs designed to help you optimize your smart material design and manufacturing through the use of large-scale computational modeling, artificial intelligence, material informatics, and machine learning.
Learn the fundamentals of lighting, imaging technologies, and motion analysis in this dynamic course, designed specifically for scientists, engineers, and imaging specialists who need to gather data on rapidly moving subjects and events. Guided by leading experts, you’ll overcome common challenges, including trade-offs between depth-of-field, field-of-view, resolution, and lighting requirements by selecting the appropriate lens(es) to capture clear, crisp, images.
Acquire the skills you need to build advanced computer vision applications featuring innovative developments in neural network research. Designed for engineers, scientists, and professionals in healthcare, government, retail, media, security, and automotive manufacturing, this immersive course explores the cutting edge of technological research in a field that is poised to transform the world—and offers the strategies you need to capitalize on the latest advancements.
Fuel your organization’s ability to produce large volumes of highly integrated, complex, customized products by leveraging intelligent design and manufacturing strategies powered by the latest in artificial intelligence. In this highly interactive course, you’ll join a group of accomplished global peers to explore the latest smart manufacturing strategies and hardware, acquire skills to develop machine learning-based design templates, and participate in generative design sessions.
The implications of additive manufacturing (AM) span the complete product life-cycle, from concept-stage design to service part fulfillment. Recent advances, including industrially viable high-speed AM processes, improved materials, and optimization software, now enable AM to be considered hand-in-hand with conventional production technologies. In short, AM is the cornerstone of future digital production infrastructure. Moreover, the unprecedented design flexibility of AM allows us to invent products with new levels of performance, and to envision supply chains that achieve rapid, responsive production with reduced cost and risk.
Autonomous robots. Self-driving cars. Smart refrigerators. Now embedded in countless applications, deep learning provides unparalleled accuracy relative to previous AI approaches. Yet, cutting through computational complexity and developing custom hardware to support deep learning can prove challenging for many enterprises—and the cost of getting it wrong can be catastrophic. Do you have the advanced knowledge you need to keep pace in the deep learning revolution?
Over the past eight years, the amount of computing required to run these neural nets has increased over a hundred thousand times, which has become a significant challenge. Gain a deeper understanding of key design considerations for deep learning systems deployed in your hardware.