The aqueous electrolyte can be a deformable and stretchable liquid material for iontronic
resistive memory devices. An aqueous medium makes a device closer to the brain‐like …

Catastrophic forgetting (CF) refers to the sudden and severe loss of prior information in
learning systems when acquiring new information. CF has been an Achilles heel of standard …

Owing to the advantages of simple structure, low power consumption and high-density
integration, memristors or memristive devices are attracting increasing attention in the fields …

With the advent of low-power neuromorphic computing systems, new possibilities have
emerged for deployment in various sectors, like healthcare and transport, that require …

Artificial neural networks have advanced due to scaling dimensions, but conventional
computing struggles with inefficiencies due to memory bottlenecks. In-memory computing …

Edge devices operating in dynamic environments critically need the ability to continually
learn without catastrophic forgetting. The strict resource constraints in these devices pose a …

Edge devices operating in dynamic environments critically need the ability to continually
learn without catastrophic forgetting. The strict resource constraints in these devices pose a …

Artificial intelligence (AI) has experienced substantial advancements recently, notably with
the advent of large-scale language models (LLMs) employing mixture-of-experts (MoE) …

To adapt to real-world dynamics, intelligent systems need to assimilate new knowledge
without catastrophic forgetting, where learning new tasks leads to a degradation in …

Neuromorphic computing is a potential candidate to break the von Neumann bottleneck, in
which the trade-off between computational precision and energy consumption remains …