At present, digital and intelligent transformation is sweeping across various industries, and the support for this technological change is no longer limited to single big data and artificial intelligence technologies, but rather the most fundamental and core sensing terminals - sensors. If big data is the "blood" of the intelligent era and artificial intelligence is the "thinking", then sensors are the "nerve endings" of the entire intelligent system. After decades of technological iteration, sensors have moved away from simple signal acquisition functions and upgraded from traditional passive sensing to active, intelligent, and accurate global sensing, continuously empowering innovation and upgrading in various industries.

In today's rapidly advancing era of intelligence, we enjoy the convenience brought by automatic temperature measurement, smart navigation, and unmanned devices. Behind all these, there lies a core foundational component—the sensor. If artificial intelligence is the "brain" of smart devices, then sensors serve as the "senses" of universal intelligent systems, acting as the central bridge connecting the physical and digital worlds. They silently perceive, capture, and transmit the subtle changes of all things, underpinning the entire operation of the intelligent age.

As humanoid robots accelerate into practical applications such as industrial collaboration, domestic services, and emergency inspections, dynamic body protection, gait optimization, and human-machine safety interaction have become critical pain points in industrialization.

In May 2026, Huawei officially introduced the Tao (τ) Law at the ISCCAS International Conference on Circuits and Systems, marking the first time a Chinese enterprise proposed an original industrial guiding principle in the semiconductor field. The core of this law is to replace "geometric miniaturization" with "time miniaturization," breaking away from the path of relying on extreme process nodes dictated by Moore's Law.

Currently, wearable sweat sensors can measure overall sweat volume but fail to analyze micro-secretory events of individual sweat glands (such as pulsatile secretion frequency, density, and single secretion volume) in real time, especially under dynamic conditions like exercise.

Earthquakes, as sudden and highly destructive natural disasters, often cause buildings to crack, tilt, or even collapse in an instant, posing severe threats to people's lives and property. From recent earthquake disasters in various regions, structural damage to buildings has been the primary cause of casualties and property losses.