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How can you get involved in AI research for Engineering Design?

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Artificial intelligence (AI) is transforming the field of engineering design, enabling new methods, tools, and applications for solving complex and creative problems. If you are interested in AI research for engineering design, you might wonder how to get started, what skills you need, and where to find opportunities. In this article, we will share some tips and resources to help you pursue your AI research interests and goals.

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Kamden Minor

Co-Founder at Helix Labs AI

1 Identify your research problem

The first step to get involved in AI research for engineering design is to identify a specific problem or challenge that you want to address with AI. This could be related to your current or future engineering projects, your academic or professional interests, or a gap in the existing literature or practice. You should be able to formulate your research problem as a clear and concise question, such as: How can AI help improve the efficiency and quality of engineering design processes? How can AI enhance the creativity and innovation of engineering design solutions? How can AI support the collaboration and communication of engineering design teams?

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Candice Lam CPPD MAICD

??3x Award Winning Transformation Leader | Coaching Leaders through Incredible Change | Reshaping portfolios | Designing end-to-end solutions | Delivering strategic transformation | Heart-centred keynote speaker
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Narrowing down on your problem statement upfront will save you from inefficient redesign during the design phase. Be specific in the databases to use for your research sample.

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yuvraj koshti

Senior Structural Engineer @ Aibel
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Example: A structural engineer was working on the design of a new type of cable-stayed bridge. He wanted to use AI to optimize the design of the bridge, but he wasn't sure what problem to tackle. He then attended a conference on AI in structural engineering and heard a presentation about using AI to generate innovative designs. He realized that this was the problem he wanted to solve.

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2 Learn the basics of AI

The next step is to gain an understanding of the fundamentals of AI, such as the concepts, techniques, and tools that are relevant to your research problem. You can find plenty of online courses, books, and tutorials that cover the basics of AI, including machine learning, deep learning, natural language processing, computer vision, and more. If you are looking for AI learning resources specifically for engineering design, consider Introduction to AI for Engineering Design by edX, Machine Learning for Engineering Design by Coursera, or AI for Engineering Design by Udemy. The former is free and provides an introduction to the principles and applications of AI in engineering design with case studies and hands-on exercises. The latter two are paid courses that teach how to use machine learning techniques and tools to analyze and optimize engineering design problems or use AI to enhance the creativity and innovation of engineering design solutions.

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Kamden Minor

Co-Founder at Helix Labs AI
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Learning from videos, courses, and books is valuable, yet hands-on experience with new tools and software is key Consider engineers learning software: theoretical resources lay the foundation, but true understanding comes through direct interaction. Engaging with it allows for a deeper grasp of its functionalities. In today's AI-driven era, this approach is more accessible than ever. The continual release of innovative tools and AI technologies offers fantastic opportunities to experiment with and apply these advancements in real-world scenarios. Its this hands-on use that one gains insight into the diverse potential of AI models, understanding their unique applications across various contexts.

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3 Develop your research skills

The third step is to develop your research skills, such as how to conduct literature reviews, design experiments, implement algorithms, analyze data, and write papers. To do this, you can take advantage of online courses, books and articles, and blogs and podcasts on AI research. For example, edX's Research Methods for Engineers provides a free online course that covers topics like research questions, hypotheses, data collection, analysis, and reporting. Additionally, Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig is an essential textbook for getting an in-depth introduction to AI theory and practice. Lastly, NVIDIA’s AI Podcast offers interviews with leading AI researchers and practitioners focusing on engineering design problems, simulation, robotics, and more.

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Kamden Minor

Co-Founder at Helix Labs AI
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Seeing how top AI engineers creatively apply AI in real-world scenarios is a great research approach. Searching for resources from the best in the industry will give great insight and a great foundation. One great resource is Andrej Karpathy’s YouTube videos. Karpathy is one of the leading AI researchers and a co founder of open Ai. His video “intro to large language models” is a great place to start. Resources like this have significantly aided my own AI development journey.

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4 Find your research community

The fourth step is to find your research community, such as mentors, peers, and collaborators who can support, inspire, and challenge you in your AI research journey. You can join online platforms, groups, and forums that connect AI researchers and enthusiasts to locate your research community. For example, LinkedIn has an AI for Engineering Design network that connects AI researchers, engineers, and educators interested in AI for engineering design. Similarly, Reddit offers a subreddit to share and discuss AI research related to engineering design. Additionally, a Discord chat server facilitates real-time communication and collaboration among AI researchers and learners passionate about engineering design.

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5 Seek your research opportunities

The final step is to seek out research opportunities, such as projects, programs, and events, that can help you apply, showcase, and advance your AI research skills and knowledge. To find these opportunities, you can browse online platforms, databases, and newsletters that list AI research opportunities for engineering design. For example, Kaggle offers a platform that hosts AI competitions and challenges related to engineering design; Google provides grants, fellowships, and awards to support AI research and innovation for engineering design; and the IEEE organizes conferences, workshops, and symposia on AI for engineering design. Here you can present research papers, posters, demos, and network with experts and peers.

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Kamden Minor

Co-Founder at Helix Labs AI
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In our modern AI age everything is moving at an incredible pace. It’s always important to be actively searching for new AI news and innovations. This can help you always stay at the forefront of AI for engineering design and other uses!

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you get involved in AI research for Engineering Design?

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3

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1 Identify your research problem

2 Learn the basics of AI

3 Develop your research skills

4 Find your research community

5 Seek your research opportunities

6 Here’s what else to consider

Engineering Design

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How can you get involved in AI research for Engineering Design?

1

2

3

4

5

6

1 Identify your research problem

2 Learn the basics of AI

3 Develop your research skills

4 Find your research community

5 Seek your research opportunities

6 Here’s what else to consider

Engineering Design

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