Hello everyone
My name is Oswald, and I’m a passionate enthusiast of new technologies, particularly artificial intelligence and complex systems. For the past year and a half, I’ve been working on an ambitious idea called Dynamic Informational Entropy (EID). This project emerged from my curiosity about how systems—whether technological, energy-based, or even biological—adapt and evolve in increasingly unpredictable environments.
The goal of EID is to transform complex systems by enabling them to adjust in real-time. Unlike traditional approaches that treat entropy as a static constraint, EID uses it as a dynamic control lever to enhance performance, resilience, and efficiency across a variety of systems.
Although I’m an amateur, I’ve poured a significant amount of effort into refining this idea, including creating a custom model based on the latest versions of GPT (4o and o1 Next) to structure my research, explore its applications, and test its fundamental principles. Additionally, I funded a state-of-the-art analysis with Clarivate, which confirmed the originality of my approach and identified key areas where this concept could bring significant advancements.
What is Dynamic Informational Entropy (EID)?
EID is an innovative method that reimagines entropy—often seen as an obstacle or constraint—as a tool for optimizing and stabilizing complex systems. By dynamically adjusting entropy, EID can:
- Strengthen security (against attacks or failures),
- Enhance performance (in real-time),
- Reduce energy consumption (by adapting resources to current needs),
- Increase resilience (to disruptions or unexpected changes).
This concept is grounded in principles like self-organization (systems regulating themselves), positive feedback loops (reinforcing what works well), and continuous integration of external data to adapt to changing environments.
Where Can EID Be Applied?
EID has the potential to revolutionize numerous fields thanks to its adaptive and dynamic approach. Here are some key examples:
1. Artificial Intelligence (AI) and Neural Networks
In AI, tuning model parameters can be a time-consuming and rigid process. EID allows these parameters (hyperparameters) to adjust dynamically based on data and needs. This means:
- Improved accuracy in model outputs,
- Reduced energy consumption, especially in data centers.
2. Cryptography and Cybersecurity
Data security is a critical challenge. EID makes it possible to create systems that automatically adjust encryption keys based on detected threat levels. This could:
- Make cyberattacks (like brute force or cryptanalysis) significantly more difficult,
- Enhance data protection in critical environments such as financial transactions or secure communications.
3. Smart Energy Grids
Energy efficiency is a global priority. EID could help optimize energy distribution in real-time, based on demand and available resources. For example:
- Minimize energy losses in power grids,
- Stabilize systems against fluctuations in consumption or failures.
4. Data Compression and Storage
EID could also optimize how data is stored and compressed. By dynamically adjusting compression algorithms based on data characteristics, it is possible to:
- Reduce file sizes significantly without losing quality,
- Accelerate data transfers across networks.
5. Robotics and Industrial Automation
In robotic systems, such as those used in factories or autonomous vehicles, EID can dynamically adjust variables like speed, trajectories, or resource usage. This could:
- Extend equipment lifespan,
- Lower energy consumption while maintaining high performance.
6. Blockchain and Cryptocurrencies
In the world of blockchain and cryptocurrencies, EID could dynamically adjust validation protocols (e.g., proof-of-work or proof-of-stake) based on the entropy of the network. This could:
- Enhance security by making blockchains more resilient,
- Optimize energy usage, particularly in energy-intensive systems like Bitcoin mining.
7. Biological Systems and Healthcare
Though still an area of exploration, EID could find applications in biology and medicine, such as:
- Analyzing and optimizing complex biological networks (e.g., neural systems),
- Dynamically adjusting medical treatments based on patient conditions.
My Progress So Far
Over the past 18 months, I have:
- Built a model using tools like GPT-4o and o1 Next to structure and test the foundations of EID,
- Validated the idea with experts: A patentability analysis conducted by Clarivate confirmed the originality and feasibility of the concept,
- Explored concrete applications in domains such as:
- Artificial Intelligence: Dynamic adjustment of hyperparameters in neural networks to improve accuracy and reduce energy use.
- Cryptography: Dynamic generation of encryption keys, increasing resistance to cyberattacks.
- Smart Grids: Real-time optimization of energy flows to stabilize systems and reduce losses.
- Neural Networks: Autonomous tuning to maximize performance while minimizing resource consumption.
- Cryptocurrencies: Dynamic adjustment of blockchain protocols to enhance security and energy efficiency.
I want to take this project further and confront my work with external perspectives. Specifically, I am looking to:
- Obtain technical feedback on the theoretical and practical foundations of EID,
- Explore collaborations to develop prototypes and test EID at various scales,
- Identify partners to support the patent application and maximize the project’s technological and industrial impact.
If this concept intrigues you or if you see opportunities to enhance it, I’d love to discuss it! Whether you’re an expert, researcher, or simply an enthusiast, your ideas and feedback are welcome. I firmly believe that EID can transform the way we design and manage complex systems.
Thank you for reading, and I look forward to exchanging ideas with you!
Oswald Vandaele
