Despite technical efforts and upgrades, advances in complementary metal–oxide–
semiconductor circuits have become unsustainable in the face of inherent silicon limits. New …

In the era of information, characterized by an exponential growth in data volume and an
escalating level of data abstraction, there has been a substantial focus on brain‐like chips …

With the advent of the Internet of Things and big data, massive data must be rapidly
processed and stored within a short timeframe. This imposes stringent requirements on …

Data-driven algorithms—such as signal processing and artificial neural networks—are
required to process and extract meaningful information from the massive amounts of data …

Artificial retina technologies aim to restore visual function by mimicking the natural
processes of the eye. These biomimetic devices can convert light into electrical signals that …

Anthropogenic sources of fine particulate matter (PM2. 5) threaten ecosystem security,
human health and sustainable development. The accuracy prediction of daily PM2. 5 …

In recent years, wearable sensors have enabled the unique mode of real-time and
noninvasive monitoring to develop rapidly in medical care, sports, and other fields. Sweat …

The von Neumann bottleneck has long been a significant obstacle to the advancement of
the era of intelligent computing. Neuromorphic devices are considered a promising solution …

With the advent of post-Moore era, the development of memory devices based on bulk
materials gradually entered the bottleneck period. Two-dimensional (2D) materials have …

Transistor-based biochemical sensors feature easy integration with electronic circuits and
non-invasive real-time detection. They have been widely used in intelligent wearable …