Maxime Agusti

Title: Maxime Agusti - Innovator in Intelligent Systems

Introduction

Maxime Agusti is an inventive mind based in Roubaix, France. He is currently employed at OVH, a prominent company in the cloud computing and web hosting sector. Although he has not yet been granted any patents, his work focuses on advanced technologies that optimize energy use and machine learning processes.

Latest Patent Applications

Maxime Agusti has submitted several innovative patent applications, including:

1. **Intelligent Cooling Management Controller** - This invention describes an intelligent power management system designed for optimizing energy use in data center server assemblies. It can utilize various coolants, such as liquid or gas, and adjusts to changing processor loads. The system integrates a coolant loop, a variable flow coolant circulator, and an advanced control unit. The advanced control unit dynamically regulates coolant flow, server temperature, and total power consumption. It receives temperature data from each server's baseboard management controller and power data from a power distribution unit. The advanced control unit computes the best coolant flow rate to minimize total power use while keeping server temperature below a safety limit. It employs either a static or a machine learning model with reinforcement learning and a reward mechanism to enhance real-time calculations and overall efficiency over time.

2. **System and Method for Automatic Generation of a Target Machine Learning Algorithm** - This method and system focus on the automatic generation of a target machine learning (ML) pipeline for executing a pre-determined task. The method includes accessing candidate ML pipelines, a plurality of variation operators associated with probability distribution functions, and training data. It iteratively updates the candidate ML pipelines. An update iteration of a given candidate ML pipeline includes applying, in parallel, one or more of the variation operators, training the candidate ML pipeline based on the training data, and executing the candidate ML pipeline to determine a performance score. The method dynamically adjusts the probability distribution functions of the variation operators based on performance scores and selects a given variation operator for the current iteration. It also identifies the candidate ML pipeline with the highest performance score for executing the pre-determined task.

Conclusion

Maxime Agusti is a promising inventor whose work in intelligent systems and machine learning showcases his innovative spirit. His latest patent applications reflect his commitment to advancing technology in energy management and automation.