The rise of AI PCs has reached new heights in late 2023 with the launch of a new generation of processors with higher AI processing capabilities. Microsoft’s integration of Copilot into every PC has further fueled the excitement around intelligent PCs. However, making a PC intelligent involves more than just running neural network models – it also requires contextual awareness of its environment and users. This involves utilizing sensors, network information, user information, and low-power processing that can constantly adapt. Field Programmable Gate Arrays (FPGAs) have emerged as a key technology to leverage in creating intelligent PCs.
Context awareness is becoming increasingly important in electronic devices, allowing them to understand and adapt to their environment at any given time. PC OEMs and technology providers are developing AI technology that uses sensors to increase the security of PCs. Image sensors can be used for human detection, facial recognition, attention sensing, and threat monitoring. An intelligent PC should be able to determine the user’s location and adjust security levels accordingly, as well as use AI agents to adjust the environment to the user’s preferences. Building an intelligent PC goes beyond improving productivity applications with AI models.
Sensors play a crucial role in providing a wealth of information about the environment for intelligent PCs, especially mobile ones. PCs already have sensors for system temperature, image, and audio, but advancements in sensor technology continue to offer new opportunities. Real-time processing of sensor data is essential for ensuring data security and minimal latency. Low-power FPGAs, such as those offered by Lattice Semiconductor, are being utilized by leading PC OEMs to process sensor data efficiently. These FPGAs enable always-on operation while consuming minimal power, allowing the main processor to enter sleep states more frequently.
Lattice Semiconductor’s CrossLink-NX family of FPGAs is being used for vision processing in PCs, with potential for higher levels of sensor processing in the future. These FPGAs combine processing, a Digital Signal Processor, on-chip memory, and a flexible FPGA fabric for various I/O configurations. Leveraging parallel processing, the Lattice devices can operate at low frequencies while drawing minimal power. Additionally, sensor data can be used to automatically adjust display brightness, enhance security, and improve the user experience. The adaptability of Lattice products allows for seamless integration of new AI models, data standards, and interfaces without hardware changes.
Intelligence is the focus of consumer and commercial electronic platforms, with AI playing a significant role in achieving intelligent solutions. FPGAs are essential in enabling the latest developments in AI and intelligence, providing flexibility and adaptability to changing requirements. While FPGAs were once considered niche technology, their small size, low power consumption, and increased performance have made them a cost-effective solution for intelligent PCs and other electronic platforms. As the demand for intelligent devices grows, FPGAs will continue to play a crucial role in driving innovation and improving system performance, efficiency, and security.
The integration of AI and sensors into PCs is opening up new possibilities for enhancing user experiences and creating more intelligent devices. Leveraging the capabilities of FPGAs, PC manufacturers are able to develop contextually aware PCs that can adapt to users’ needs and environments. With sensor technology evolving rapidly, the potential for intelligent PCs to offer a seamless and secure user experience is limitless. As the demand for intelligent solutions continues to grow, FPGAs will play a vital role in driving innovation and enabling the next generation of intelligent electronic platforms.
