The dD blog

Problem Solving with AI?
From 2021 to 2022, AI patent grants worldwide increased sharply by 62.7%. Since 2010, the number of granted AI patents has increased more than 31 times.1
As engineers, we’re constantly seeking innovative solutions to complex technical challenges. Machine Learning, the foundation of modern Artificial Intelligence, has emerged as a powerful tool that can transform our approach to design and problem-solving.
Why invest in the intricate technology of ML?
The answer lies in its transformative power and the ability to deliver original solutions. 🎯
By embedding ML capabilities, we can equip your product with intelligence, enabling it to adapt, learn, and improve over time, delivering exceptional value and competitive advantage. The result is a product with improved product-market fit and strong differentiation.
ML is a remarkable technology with immense potential. Unlike traditional programming, where every step is explicitly defined by the programmer, it enables machines to process data and make decisions autonomously. This means they can perform tasks that were previously thought to be beyond the capabilities of computers, even without being explicitly instructed.
By harnessing the capabilities of ML, we can:
- Automate tedious tasks and streamline workflows.
- Analyze vast datasets to uncover hidden insights.
- Optimize designs for performance and efficiency.
- Create intelligent systems that can adapt to changing conditions.
In this blog, I’ll explore practical applications of AI and ML in engineering.
🔗 Join me as I delve into the world of AI-powered design and unlock the potential of these cutting-edge technologies.
To conclude this introduction and provide some personal context, I’d like to share a brief anecdote about the term “original solutions” which I find more tangible than innovation.
I graduated at the École Polytechnique Fédérale de Lausanne in Switzerland (EPFL), a great university 2 in a wonderful location (with excellent wines 😉).
Following my studies, I had the great opportunity of serving as an assistant engineer in the department of machine design for two years. I fondly recall teaching, helping students in the metrology lab, and contributing to research and industry projects. At the conclusion of my assistantship, I was honored to receive a certificate 3 from Mr. Spinnler, the department head, who had also been one of my professors during my studies. The most inspiratonal recommendation I ever received! 💯 🏆 At the end of the document the epiphany: “Mr. Monticelli is an excellent engineer. He has a keen sense of problem analysis and often finds original solutions…”. This term has become deeply ingrained in my mindset and seeking original solutions has always been my guiding principle, regardless of the industry I’ve worked in.
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The AI Index 2024 Annual Report by Stanford University is licensed under Attribution-NoDerivatives 4.0 International ↩︎
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Rank #10 QS World University Rankings by Subject 2024: Engineering & Technology ↩︎
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View the assistantship certificate on my LinkedIn profile:
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