👋 Hello Amigos! Dr. Molina here 👨🔧
I haven’t shared much about work lately, but we have something truly exciting to announce.
Ten years ago, I started my first project, SpCard, and since then, I’ve been working toward revolutionizing the power electronics industry. I’ve always believed that managing electrical energy is a key for human progress, and our future depends on how quickly we can deliver energy to every task and corner of the world. The most efficient way to transfer electric energy that we know of is through switch-mode power converters, like the charger for your phone or laptop.
The challenge, however, lies in the complexity of designing power supplies. It’s a task that requires true expertise and takes a significant amount of time. My goal is to contribute by building software technologies that simplify this process and remove bottlenecks.
Today, we’re taking another step in that direction with Frenetic AI, a powerful new extension to our platform. Frenetic AI helps streamline the design of power converters at all levels of complexity, making the process faster and more accessible.
Presentation Event
Next week, I’m hosting an event in Sunnyvale, where we’ll showcase this exciting new product and, most importantly, give people the chance to try it out.
If you’re in the Bay Area, use my discount code PE50 to join us and yes, there will be tacos! 🌮
Link to register to the event.
I’d love to see you there! 😊
I would love to hear your thoughts! Please, share this link with friends in the Bay Area you think they will be interested 😊.
Thank you :).
Chema
How does this model select the most optimal topologies? And on what data do you train such a model to understand the design of power electronics in various scenarios? Sure, you can buy one off the shelf with this information but what value does it provide in layout or component selection?