In nature, organisms have evolved a wide range of sensory abilities to survive. Among these, non-contact sensing—the ability to detect environmental changes and potential threats without direct physical contact—plays a crucial role in the survival strategies of many animals.

Flexible tactile sensors (FTS) are capable of sensing mechanical force signals such as strain, pressure, and shear forces, and are widely used in fields such as bionic prosthetics, health monitoring, artificial intelligence, and wearable devices. The ideal FTS needs to have both high sensitivity and high precision tactile signal detection capabilities. In practical applications, FTS is inevitably exposed to external interference environments such as mechanical shock, temperature and humidity changes. The complex interference generated by multiple stimuli can significantly affect the perception ability of FTS, thereby reducing its sensing accuracy. However, most existing FTS lack anti-interference capabilities, which can easily lead to perception errors or measurement distortions, greatly limiting their practical application scenarios. Therefore, developing FTS with simple structure, strong anti-interference ability, and high sensitivity has become an urgent need at present.

In the roaring workshop of gearboxes, early signs of bearing wear are often drowned out by ambient noise, leading to losses of hundreds of thousands of yuan by the time a failure erupts. The emergence of Senther Technology's 370AM1 stress wave sensor is transforming this predicament—it leverages its 38kHz high-frequency resonance characteristics to become a precise tool for detecting "suboptimal" signals in equipment.

Recently, the MEMS team at the School of Mechanical Engineering, Sichuan University, made significant progress in the field of flexible wearable sensor devices. They proposed a strain sensor based on a synergistic ionic-electronic transport channel mechanism, which effectively resolves the trade-off between sensitivity and sensing range by leveraging impedance mismatch between the electronic sensing layer and the ionic sensing layer, along with a unique sensing mechanism.

In the current era of rapid development in the semiconductor industry, chip manufacturing processes continue to advance toward nanometer and even sub-nanometer levels. The precision and operational stability of semiconductor equipment directly determine product quality and production efficiency. As the "intelligent eyes" of the semiconductor equipment monitoring system, sensors play a crucial role in ensuring the safe and efficient operation of semiconductor production processes, leveraging their core capabilities of precise sensing and real-time feedback.

Recently, the team led by Huo Yixin from the School of Life Sciences at Beijing Institute of Technology published a research article titled "Design of Strictly Orthogonal Biosensors for Maximizing Renewable Biofuel Overproduction" in the top tier journal "Journal of Advanced Research" in Zone 1. This study developed a machine learning based design method to address the relationship between signal molecule promiscuity and industrial orthogonality.