What will be AI's Role in the Evolution of EDA?

Artificial intelligence’s circle of impact has extended to encompass EDA, promising unmatched benefits in its wake.

FREMONT, CA: The process of evolution in chip design is pretty evident now. The changing designs are a result of innovative pursuits, as well as the growing impact of advanced technologies. Artificial intelligence, the most sought-after technology in the current times, has found application in EDA as well. By incorporating AI into chip design solutions, chip manufacturers are looking to achieve innovations in design. Tools and solutions used by designers have to undergo development in order to allow the next level of advancements in chip design. There are several ways in which companies involved in EDA are planning on leveraging AI.

Understanding the objective of introducing artificial intelligence or machine learning is an essential step in enhancing EDA. Clearly outlining the advantages that AI can bring in EDA can enable developers to leverage the technology in an effective manner. One of the motives behind introducing AI into EDA technology is to drive up the speed of chip design. AI enables EDA tools to work faster and deliver a significant increase in output along with improved accuracy as well.

AI, ML, and deep learning can make it easier for inexperienced developers to work with EDA tools. The EDA tools’ decision-making also gets a boost from the introduction of AI. Thus, the chain of impacts extends right from the development of EDA tools to the design of chips through the EDA tools.

Ultimately, the effectiveness of AI in EDA tools will depend on the volume and validity of the data that is used to train the EDA algorithms. Only when the input data is valuable, the resulting EDA solution will also undergo enhancement through machine learning. With relevant data and the availability of machine learning capabilities, EDA technology will see further improvements. Besides, visualization techniques that can help in reducing the dimensionality of data will help EDA developers leverage AI better. The significance of AI in EDA technology is poised to rise as AI advances further.