Human visual neurons rely on event-driven, energy-efficient spikes for communication, while
silicon image sensors do not. The energy-budget mismatch between biological systems and …

In the era of intelligent IoT, huge amount of sensor data is collected and then transmitted to
processor elements in edge devices or cloud servers. The latency and energy consumption …

The near-sensor paradigm is widely used in the artificial Intelligence of Things (AIoT) and
other emerging applications that require high-performance digital circuits to perform …

In-sensor computing has emerged as a promising approach to mitigating huge data
transmission costs between sensors and processing units. Recently, the emerging …

In this paper, we demonstrate a bi-directional biomedical process-invariant pixel interface
based on the LTPS-TFT that integrates a front-end amplifier, an analog-to-digital converter …

Human visual neurons rely on event-driven, energy-efficient spikes for communication, while
silicon image sensors do not. The energy-budget mismatch between biological systems and …

With the miniaturization and integration of wearable electronics, there are some serious
problems such as signal crosstalk and high power consumption that restrict its development …