FAIM

The Fractal Artificial Intelligence Model (FAIM) is a cutting edge neural network that sits on the bedrock of co-founder, Jeroen Joukes Ph.D. Recent estimates by independent AI specialists put our proprietary algorithm eight years ahead of the latest published neural networks.  FAIM runs faster than competing neural networks as it scales well on multicore processors and GPUs. Big data - the recursive fractal design allows FAIM to analyze very large and complex spacetime datasets without the need for heavy duty cluster farms. FAIM can analyze any kind of spacetime dataset quickly, efficiently, and economically. Specialized in spacetime computations, FAIM can provide high quality predictions for datasets in various industries, such as sales, finance, weather forecasting, product recommendation, DNA sequence classification, anomaly detection, sentiment analysis, text generation, music generation, energy utilization, image caption generation, and video classification. Processing speed - FAIM runs faster than competing neural networks as it scales well on multicore processors and GPUs. Big data - the recursive fractal design allows FAIM to analyze very large and complex spacetime datasets without the need for heavy duty cluster farms. Reduced cost - FAIM computes leanly and efficiently, significantly reducing hardware and energy expense. Versatility - FAIM has the ability to include external sources across various modalities and time-scales to improve the analysis of your data. For instance, FAIM has the ability to forecast energy usage for the next seconds, hours, and days utilizing historical energy consumption data and weather patterns.