Nanotechnology-enabled novel RF switches have emerged as a promising alternative to
MEMS, owing to current technological limitations of the latter. Additionally, recent research …

In the era of high-performance computing, the integration of Cellular Automata (CA)
principles into low-power hardware is a challenging but intriguing endeavor. At the same …

Pattern recognition is a critical aspect of modern computing and artificial intelligence,
enabling robotic and computing systems to classify and categorize information based on its …

A swarm of miniature robots comprises mini-robots collaborating to achieve common goals,
inspired by the collective behavior of insects. This concept mimics decentralized …

Spatio-temporal encoding in neural systems refers to the representation of information
through the combined spatial and temporal patterns of neuronal activity and plays a …

Engineered Living Materials (ELMs) represent a novel class of materials that possess
intrinsic properties and capabilities inspired by living organisms. Among ELMs, fungal …

(English) Lately, in the rise of the era of 2D materials, Graphene is one of the materials that
has been extensively investigated for its possible integration in computing devices and thus …

In the pursuit of advancing hardware accelerators for emerging computing applications,
notably deep learning and neuromorphic computing, resistive switching devices stand at the …