The intersection of AI and PCB design
A gap is growing between what is needed from PCB designers and what is possible. AI is closing this gap because it can augment the abilities of engineers to accelerate design and bring products to market faster.
AI-infused PCB design
Leveraging artificial intelligence, the next generation of electronic systems design provides design support that boosts productivity, bridging capacity gaps within PCB design teams and enabling them to tackle complex challenges effectively.
Why do we need AI for electronic systems design?
AI PCB design fills gaps and reduces the need for resources while increasing capacity.
Systems design activity is rising
The increasing demand for complex functionalities and interconnected technologies in modern electronics is contributing to a surge in systems design activity, prompting engineers to innovate.
Systems complexity is exploding
Complexity within systems is experiencing an explosion, driven by the convergence of diverse technologies, the demand for multifaceted functionalities, and the pursuit of interconnected solutions.
Costs and schedules are skyrocketing
The escalation of costs and schedules within projects is reaching unprecedented heights, influenced by supply chain disruptions, increased material prices, labor shortages, and heightened demand for specialized expertise.
Universities are not graduating enough engineers
There is a widening gap between industry demand and the available electronics systems design talent pool.
Existing talent is slowly exiting the workforce
As these seasoned electronic systems design experts leave, they take with them valuable knowledge, expertise, and institutional memory, creating a skills gap that poses significant challenges for organizations.
What do our AI solutions deliver?
Our AI PCB design solutions employ three AI learning models to solve specific challenges and increase productivity.
Analytical AI
Identify key data insights, trends and relationships not practical with traditional methods.
Predictive AI
Use predictive models to reduce computational requirements and accelerate decision making.
Generative AI
Leverage AI models to generate new content, accelerating design creation and system optimization.
Analytical AI: design space exploration
Define available processing power and target number of evaluations. Then define design variables and optimization goals and the AI engine optimally explores design space and recommends the best option. It also creates surrogate models to accelerate future analyses. Learn more about HyperLynx Design Space Exploration.
Predictive AI: UI command prediction
An on-the-fly machine learning model that analyzes user’s command usage during PCB design process and predicts the next command likely to be needed based on the last command used. Can leverage the seed model or a company’s design team expert can train a new model. This feature is available in all next generation electronic systems design products.
Generative AI: interactive data sheets
Query component characteristics and ask natural language questions to get contextually relevant responses. User-friendly chatbot interface and prompt templates help you make critical component selection decisions faster. This feature is available in all next generation electronic systems design products.
AI PCB design products
Our next generation electronic systems design products use AI to enhance engineers’ capabilities, streamline and optimize their workflows.
