Natural and synthetic polymers are a versatile platform for develo** biomaterials in the
biomedical and environmental fields. Natural polymers are organic compounds that are …

The current state of affairs in the field of using polymer hydrogels for the creation of
innovative systems for signal and image processing, of which computing is a special case, is …

Biological systems interact directly with the environment and learn by receiving multimodal
feedback via sensory stimuli that shape the formation of internal neuronal representations …

Physical reservoir computing (RC) is a machine learning algorithm that employs the
dynamics of a physical system to forecast highly nonlinear and chaotic phenomena. In this …

Organic synaptic transistors are a promising technology for advanced electronic devices
with simultaneous computing and memory functions and for the application of artificial …

Recent advancements in artificial intelligence (AI) have highlighted the critical need for
energy‐efficient hardware solutions, especially in edge‐computing applications. However …

Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-
driving cars may consume up to 50% of the total power available onboard, thereby limiting …

Material‐networked conduction paths provide nonlinear electronic properties, which are
essential components of computing and physically mimic the brain. In this study, the …

Temperature is always one of the most important factors that critically affects the electrical
performance of devices. In the present work, the thermochromic function has been realized …

Organic electrochemical transistors (OECTs) using aqueous gate dielectrics have garnered
significant interest for bioelectronic applications. However, their viability for long-term use in …