$GTCH "The new, machine learning-driven flow that we are researching aims to provide one-stop design environment advanced capabilities, with high levels of automation, with the goal of enabling the delivery of superior quality designs, with much faster completion time. The usage of our deep learning and advanced computational geometry algorithms aims to produce a comprehensive design environment, enabling efficient digital/analog design and implementation, particularly with advanced manufacturing nodes. In addition, we are also researching incorporating other capabilities into the system which may include functional and physical verification, simulations, power optimization, characterization, or yield management. With this research we aim to standardize digital and analog IC’s design, simulation, verification and characterization. We firmly believe that a one, intelligent, automated IC design environment will introduce a significant productivity enhancement for IC design firms, reducing their overall projects design time and bringing them faster to market” stated Danny Rittman, the Company’s CTO.
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