HRF: 100x Acceleration
Condensing complexity into its essence. Accelerating discovery.
The Computational Bottleneck
In fields from climate science to artificial intelligence, we have hit a computational wall. Simulating complex systems or training state-of-the-art AI models requires processing billions of data points, demanding immense memory and processing power. This bottleneck makes real-time applications, large-scale discovery, and deployment on everyday devices impractical, creating a fundamental tension between the sophistication of our questions and our ability to answer them.
Finding the High-Energy Coefficients
The core insight of HRF is that in any complex system, the essential information is concentrated in a small, core set of "high-energy" components within its spectral representation. While traditional methods process every single data point, HRF mathematically transforms the problem to instantly identify and isolate these critical components, which often make up less than 1% of the total data.
Think of it like listening to a symphony. The beautiful melody is defined by a specific combination of key notes and recurring patterns, not every possible sound played at once. HRF acts as a form of "musical shorthand" for computation; it learns the fundamental notes and harmonic patterns that define the entire piece, allowing it to reconstruct the result with incredible speed and accuracy, achieving results in minutes that once took days.
The Full Computation (Noise)
The HRF Essence (Signal)
Applications and Impact
HRF is a domain-agnostic framework that unlocks new capabilities across a wide range of computationally intensive fields.
Physics Simulation
Harnessing HRF, we can accelerate complex physics simulations for fluid dynamics, material science, and environmental modeling by over 100x. This enables higher-resolution flood simulations for urban planning, faster discovery of new materials, and more detailed climate models, providing critical insights on a vastly accelerated timeline.
Neural Network Compression
HRF redefines the possibilities for AI. Our native compression technology has achieved a landmark 32.97x parameter reduction on neural networks—compressing a 3.2 million parameter model down to just 98,000—while simultaneously improving its performance. This makes it possible to run powerful, sophisticated AI models efficiently on edge devices, smartphones, and other resource-constrained hardware, democratizing access to next-generation AI.
Real-Time Causal Discovery
The unprecedented speed of HRF enables a new frontier of analytics: real-time causal discovery. By running complex "what-if" scenarios at interactive speeds, businesses and researchers can move beyond simple correlation to understand the true drivers of their systems. This capability, powered by HRF's core reasoning process, accelerates discovery and enables more confident, data-driven decision-making.