The integration of machine learning with photonic and optoelectronic components is progressing rapidly, offering the potential for high-speed bio-inspired computing platforms. In this work, we employ an experimental f...The integration of machine learning with photonic and optoelectronic components is progressing rapidly, offering the potential for high-speed bio-inspired computing platforms. In this work, we employ an experimental fiber-based dendritic structure with adaptive plasticity for a learning-and-control virtual task. Specifically, we develop a closed-loop controller embedded in a single-mode fiber optical dendritic unit(ODU) that incorporates Hebbian learning principles, and we test it in a hypothetical temperature stabilization task. Our optoelectronic system operates at 1 GHz signaling and sampling rates and applies plasticity rules through the direct modulation of semiconductor optical amplifiers. Although the input correlation(ICO) learning rule we consider here is computed digitally from the experimental output of the optoelectronic system, this output is fed back into the plastic properties of the ODU physical substrate, enabling autonomous learning. In this specific configuration, we utilize only three plastic dendritic optical branches with exclusively positive weighting. We demonstrate that, despite variations in the physical system's parameters, the application of the ICO learning rule effectively mitigates temperature disturbances, ensuring robust performance. These results encourage an all-hardware solution, where optimizing feedback loop speed and embedding the ICO rule will enable continuous stabilization, finalizing a real-time platform operating at up to 1 GHz.展开更多
Definition of termsInputs can be defined as everything which students bring tothe classroom including their prior teaching and learningenvironment,attitude,enthusiasm,motivation,phonologyfrom their first language and ...Definition of termsInputs can be defined as everything which students bring tothe classroom including their prior teaching and learningenvironment,attitude,enthusiasm,motivation,phonologyfrom their first language and varying degrees of confidence.When they arrive in college they are exposed to spoken Englishfrom a range of teachers who have a variety of spoken abilitiesand teaching techniques.展开更多
基金supported by the European Union’s Horizon 2020 Research and Innovation Programme under Grant 899265(ADOPD)the Program for Centres and Units of Excellence in R&D María de Maeztu under Project CEX2021-001164-M funded by MCIN/AEI/10.13039/501100011033,and the project INFOLANET PID2022-139409NB-I00 funded by MCIN/AEI/10.13039/501100011033.
文摘The integration of machine learning with photonic and optoelectronic components is progressing rapidly, offering the potential for high-speed bio-inspired computing platforms. In this work, we employ an experimental fiber-based dendritic structure with adaptive plasticity for a learning-and-control virtual task. Specifically, we develop a closed-loop controller embedded in a single-mode fiber optical dendritic unit(ODU) that incorporates Hebbian learning principles, and we test it in a hypothetical temperature stabilization task. Our optoelectronic system operates at 1 GHz signaling and sampling rates and applies plasticity rules through the direct modulation of semiconductor optical amplifiers. Although the input correlation(ICO) learning rule we consider here is computed digitally from the experimental output of the optoelectronic system, this output is fed back into the plastic properties of the ODU physical substrate, enabling autonomous learning. In this specific configuration, we utilize only three plastic dendritic optical branches with exclusively positive weighting. We demonstrate that, despite variations in the physical system's parameters, the application of the ICO learning rule effectively mitigates temperature disturbances, ensuring robust performance. These results encourage an all-hardware solution, where optimizing feedback loop speed and embedding the ICO rule will enable continuous stabilization, finalizing a real-time platform operating at up to 1 GHz.
文摘Definition of termsInputs can be defined as everything which students bring tothe classroom including their prior teaching and learningenvironment,attitude,enthusiasm,motivation,phonologyfrom their first language and varying degrees of confidence.When they arrive in college they are exposed to spoken Englishfrom a range of teachers who have a variety of spoken abilitiesand teaching techniques.
