👉 Seat computing is an innovative approach to artificial intelligence that integrates AI capabilities directly into the hardware of devices, specifically within their memory chips. This means that instead of relying on external processors or cloud computing for AI tasks, the AI processing is performed locally within the device itself. By embedding AI functions directly into the memory, seat computing significantly reduces latency, enhances privacy, and improves energy efficiency. This localized processing allows for real-time decision-making and faster response times, making it particularly beneficial for applications requiring immediate action, such as autonomous vehicles, smart home devices, and wearable technology. The integration of AI into memory chips also reduces the need for constant data transmission to external servers, thereby minimizing bandwidth usage and enhancing data security.
