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Computational Design: The Future of How We Make Things is Tech-Driven

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Computational Design: The Future of How We Make Things is Tech-Driven

Future Design is Computational

Design is always changing, and never stagnant.

In the late 20th century, it was the emergence of Design Thinking that upended how architects, engineers, and industrial design organizations made decisions about how to make new things.

Now, the rapid pace of technological advancement has brought forth a new design methodology that will again forever alter the course of design history. Computational design, which takes advantage of mass computing power, machine learning, and large amounts of data, is changing the fundamental role of humans in the design process.

Designing With Billions of Data Points

Today’s infographic comes to us from Schneider Electric, and it looks at how the future of design will be driven by data and processing power.

While computational design is still a term with no real consensus, attempts to define it do have overlap:

Parameter setting
Algorithmic, “rules-based” code can be applied as constraints to test a wide variety of computer-driven designs

3d modelling and visualization tools
Complex 3d models can allow designers to test and create simulations for new ideas

Processing power
Using vast amounts of computational power and automation to make designs not before possible

Designing with data
Applying big data and powerful algorithms to create new designs

Generative design
By creating, testing, and analyzing thousands of design permutations, this approach mimics mother nature’s evolutionary path to design

While designers traditionally rely on intuition and experience to solve design problems, computational design is a new design methodology that can literally produce hundreds or thousands of design permutations to find the absolute best solution to a problem.

The Shifting Roles of Humans and Computers

Throughout history, humans have shaped the world with design.

But now that artificial intelligence is superior in taking on specific roles within the design process, humans will move towards shaping the things that shape the world.

Designers will be relinquishing control to technology, so that humans can do what they do best.

In other words, in the future, designers will work less on designing – and instead will supervise, mentor, and set the parameters for computational designs. Human designers would also interact with a broader group of stakeholders as additional inputs and the frequency of interactions increase.

A New Design Landscape

Disruption to traditional design methods brings more questions than answers:

  • How will this change the value chain for design companies and professionals?
  • Will AI-enabled computational design tools take the “craft” out of design?
  • If automated design “assets” become commercial commodities, will that create new product and revenue channels for businesses?
  • Who will own and manage all of this data, and does this create new roles and opportunities for companies?

As we give machines more design autonomy, it will be interesting to see how this literally changes the shape and design of objects that make up the real world.

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What Would $5,000 Invested in Nvidia Be Worth Today?

Small fortunes have been made for those investing in Nvidia stock. But how much would have they earned if they bought before it skyrocketed?

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What Would $5,000 Invested in Nvidia Be Worth Today?

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Investing in Nvidia has been highly lucrative, especially for investors who got in early.

As America’s largest chipmaker, its stock price has soared given its critical role in powering AI. Last year alone, its share price jumped 272%, vaulting it into becoming one of the world’s most valuable companies.

This graphic shows how much a $5,000 investment in Nvidia would have grown over time, based on data from Yahoo Finance.

Investing in Nvidia Before the AI Boom

Below, we show how much an investment in Nvidia would have increased in value over the last several decades:

Year Invested (January 1st)Stock PriceStarting ValueValue Today (as of Feb 15, 2024)
2000$0.77$5,000$4,718,052
2010$3.85$5,000$943,610
2015$4.80$5,000$756,854
2020$59.11$5,000$61,460
2023$195.37$5,000$18,595

For those who bought in 2000, a $5,000 investment would be worth over $4.7 million today, with Nvidia’s stock price rising 94,261% over the time period.

At the time, Nvidia had just invented its graphics processing unit (GPU), which allowed computer graphics to render more seamlessly in video games and video editing. These high-performance units complete complex computing tasks, and Nvidia was creating leading technology at the time.

Over the last decade, Nvidia has increasingly focused on AI technology, with key developments launching as early as 2012. Yet it was not until 2020 when its share price really began to soar as the company’s end customer segments increasingly became data centers and cloud computing, alongside video games.

In fact, since 2020 alone, its share price has soared 1,129%—making a $5,000 investment worth twelve times as much today.

So far this year, its stock price shows no sign of stopping, driven by its outsized role in the AI chipmaking market. Roughly 70% of all chips are sold by Nvidia, outpacing key competitor AMD by a landslide.

The company’s Q4 revenues topped $22 billion, setting another historical record, amounting to a 265% year-over-year increase in revenues. In 2023, Nvidia sold 2.5 million chips with customers including OpenAI, Microsoft, Meta Platforms, and Alphabet. The price range for these chips can span anywhere from $16,000 to $100,000.

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