The electric field approach minimizes the movement of electrons at the chip level, reducing energy usage — and heat. TOPS/W is a bit of a vague metric, but the takeaway is that memcapacitors can lead to dramatic energy consumption reductions while training AI models. Now, it’s early days for Semron, which Kirschen says is in the “pre-product” stage and has “negligible” revenue to show for it. EnCharge, like Semron, is designing computer chips that use capacitors rather than transistors, but using a different substrate architecture. Semron will be a key element in solving this problem by providing a revolutionary new chip that is inherently specialized on computing AI models.