Community Digital Design Brain on Fire - AI/ML Art Creation

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Atreya

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Brain on Fire - AI/ML Art Creation

• 1 minute read

No matter how you feel about the topic, we're definitely past the turning point in history where most humans interact with machines much more than other humans.

Advancements in artificial intelligence and machine learning (AI/ML) have helped us develop immensely useful and sometimes just-for-fun applications including image creations with AI inputs.

Look at these images generated from text for example, with some weights and presets:

Creation Settings
Preset Style - Matte, Text Prompts - "Brain on fire" Weight: 1, "just head" Weight: 1, "no body" Weight: 1; Runtime - Short.

      Brain on fire 1 

Creation Settings
Preset Style - Cosmic, Text Prompts - "Brain on fire" Weight: 1, "cosmic illustration" Weight: 0.9, Runtime - Short.

Brain on fire 2

The images generated can be stunning or sadly disappointing depending on the user's perspective and imagination; meaning it is subjective. Nonetheless, you will tend to agree that the nature of this AI is such that your inputs and weights assigned gives you reasonably approximate outcomes of what you might expect in a reasonable amount of time. Given the chance at multiple tries and specifying different weights, you might find yourself the creator of a masterpiece coveted by many. 

Cadence tools such as Innovus Implementation use AI to improve your turnaround time (TAT) in various forms.

Cadence Cerebrus Intelligent Chip Explorer is a revolutionary, machine learning-driven, automated approach to chip design flow optimization.

Rather than specific tool inputs, Cadence Cerebrus uses weights, similar to our AI-generated art pieces, to optimize your flow from RTL to GDS, while optimizing your design for power, performance, and area, and in the process generate machine learning (ML) models for the type of design and tools you choose. 

These optimized Cadence Cerebrus machine learning models can become the perfect preset styles for your future design projects. 

To learn more, go to http://support.cadence.com and look for Cadence Cerebrus, or sign up for the class.