Integrates CPU, GPU, and AI chips to handle multitasking (calls, social apps, video editing), optimize battery use, and enhance camera image processing for sharp photos/videos.

Relies on AI and sensor fusion chips to process data from cameras, LiDAR, and radars in milliseconds, enabling lane-keeping, collision avoidance, and adaptive cruise control.

Powers microchips in MRI machines for high-resolution imaging, glucose monitors for real-time blood sugar readings, and pacemakers for precise heart rhythm regulation.

Uses IoT chips to connect thermostats (adjusting temp based on occupancy), smart locks (remote access), and security cameras (motion detection alerts).

Employs high-performance server chips to manage petabytes of data, support cloud computing (e.g., video streaming), and accelerate AI model training (e.g., machine learning).

Utilizes low-power microchips in smartwatches (heart rate monitoring, sleep cycle tracking) and fitness bands (step counting, calorie calculation) for all-day health monitoring.​