Pioneering technology for integrated circuits for machine learning

Quantum engineering of two-dimensional materials (2DMs) can support new integrated technology for machine learning and enable the production of devices relying on the combination of vertical and lateral heterostructures. The EU-funded QUEFORMAL project will work on the development of integrated circuits for machine learning in which low-voltage field-effect transistors and non-volatile memories are integrated side by side, exploiting quantum engineering of 2DMs. The project will experimentally demonstrate the construction and running of devices based on lateral and vertical heterostructures of 2DMs for logic-in-memory integrated circuits and prove the potential of this technology for the production of integrated circuits for machine learning.