As the limits of transistor technology are approached, feature size in integrated circuit
transistors has been reduced very near to the minimum physically-realizable channel length …

As semiconductor technology enters the more than Moore era, there exists an apparent
contradiction between the rapidly growing demands for data processing and the visible …

Reservoir computing (RC), as a brain-inspired neuromorphic computing algorithm, is
capable of fast and energy-efficient temporal data analysis and prediction. Hardware …

Sensing technology is an important aspect of information processing. Current development
in artificial intelligence systems (especially those aimed at medical and environmental …

Unconventional computing and artificial photosynthesis seem to be completely unrelated
fields of research. However, both technologies try to sustain the development of our …

Organic‐inorganic perovskites despite being known for their extraordinary performance in
solar cell research areas are also a workhorse in the field of unconventional information …

Reservoir computing (RC), a low-power computational framework derived from recurrent
neural networks, is suitable for temporal/sequential data processing. Here, we report the …

Nanodevices that show the potential for non-linear transformation of electrical signals and
various forms of memory can be successfully used in new computational paradigms, such as …

Spatial‐temporal time series analysis and forecasting are crucial for understanding dynamic
systems and making informed decisions. Recurrent neural networks (RNNs) have paved the …

The story of information processing is a story of great success. Todays' microprocessors are
devices of unprecedented complexity and MOSFET transistors are considered as the most …