Publication date: 15th December 2025
Tiny processing entities, such as microcontrollers, are at the basis of the Internet of Things paradigm. The integration of Machine Learning models on small computing units require the development of architectures and hardware solutions that do not need the processing support from the cloud and the training processes typical of Artificial Intelligence, which are power consuming and involves data security and privacy risks [1]. To face this challenge, a novel threshold logic gate design, called Receptron, has been recently proposed as an alternative to multilayer architectures based on perceptrons typical of artificial neural networks [2]. The receptron is based on the use of nonlinear weights thus widening the spectrum of Boolean computable functions while simplifying training thanks to a random search protocol [3,4]. The hardware implementation of the Receptron model has been demonstrated to rurn on standard microcontrollers and CMOS components.
The reconfigurability and functional completeness of the receptron allows faster, more efficient and possibly edge, data processing compared to traditional architectures used for artificial neural networks. Here we report the fabrication of a receptron-based electronic board for edge data processing and classification working on analog inputs and capable to learn with an extremely reduced training.
nanoGe is a prestigious brand of successful science conferences that are developed along the year in different areas of the world since 2009. Our worldwide conferences cover cutting-edge materials topics like perovskite solar cells, photovoltaics, optoelectronics, solar fuel conversion, surface science, catalysis and two-dimensional materials, among many others.
Previously nanoGe Spring Meeting (NSM) and nanoGe Fall Meeting (NFM), MATSUS is a multiple symposia conference focused on a broad set of topics of advanced materials preparation, their fundamental properties, and their applications, in fields such as renewable energy, photovoltaics, lighting, semiconductor quantum dots, 2-D materials synthesis, charge carriers dynamics, microscopy and spectroscopy semiconductors fundamentals, etc.
International Conference on Hybrid and Organic Photovoltaics
International Conference on Hybrid and Organic Photovoltaics (HOPV) is celebrated yearly in May. The main topics are the development, function and modeling of materials and devices for hybrid and organic solar cells. The field is now dominated by perovskite solar cells but also other hybrid technologies, as organic solar cells, quantum dot solar cells, and dye-sensitized solar cells and their integration into devices for photoelectrochemical solar fuel production.
Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics
The main topics of the Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics (IPEROP) are discussed every year in Asia-Pacific for gathering the recent advances in the fields of material preparation, modeling and fabrication of perovskite and hybrid and organic materials. Photovoltaic devices are analyzed from fundamental physics and materials properties to a broad set of applications. The conference also covers the developments of perovskite optoelectronics, including light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.
The International Conference on Perovskite Thin Film Photovoltaics Perovskite Photonics and Optoelectronics (NIPHO) is the best place to hear the latest developments in perovskite solar cells as well as on recent advances in the fields of perovskite light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.