Laurent F Chaouat

Title: Innovations by Laurent F Chaouat

Introduction

Laurent F Chaouat is a notable inventor based in Jonestown, TX (US). He has made significant contributions to the field of technology, particularly in power management and machine learning. With a total of 4 patents to his name, Chaouat continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Power state prediction using machine learning circuitry." This invention involves techniques for performing corrective actions in response to detected conditions. The clock circuitry is designed to provide a clock signal to processor circuitry. Additionally, power monitor circuitry generates activity information based on the operation of different portions of the processor. Machine learning circuitry predicts the future power state of the processor based on this activity information. Control circuitry then adjusts the clock signal frequency based on the predicted power state.

Another significant patent is the "Adaptive on-chip digital power estimator." This system includes a dynamic power estimation (DPE) unit that adapts weights in real-time. The DPE unit generates power consumption estimates for the processor by multiplying weights by counter values. The accumulated sum serves as an estimate of the processor's power consumption. The power management unit (PMU) utilizes these estimates to maintain the processor within a thermal envelope.

Career Highlights

Laurent F Chaouat is currently employed at Apple Inc., where he continues to innovate and develop new technologies. His work focuses on enhancing power management systems and improving the efficiency of processors.

Collaborations

Chaouat has collaborated with talented individuals such as Saharsh Samir Oza and Hamza Saigol. These collaborations have contributed to the advancement of his projects and innovations.

Conclusion

Laurent F Chaouat is a prominent inventor whose work in power management and machine learning has led to significant advancements in technology. His contributions continue to shape the future of efficient computing.