Biologic Intelligence emulates an animal’s brain and nervous system into software and robotics. This new form of Artificial General Intelligence runs over the top of Deep Learning and Machine Learning based systems to understand and act upon changing and unlabeled data in real-time. It’s the inevitable conclusion for how all Artificial Intelligence will be built in the future. And PROME has a 6-year head start.
PROME Real-Time Software:
Ingests varied data
Optimizes its architecture
Performs desired action
| Narrow Intelligence | General Intelligence | |
|---|---|---|
| Concept | Deep Learning: like a sensory organ | Biologic Intelligence: is a brain and nervous system |
| How It Works | Steps through an iterative process | Always on, running in parallel, concurrent activity |
| Problem Set | Narrow: recognize a cat in a picture | General: drive a car, notify maintenance, trade securities |
| Programs Itself | No | Yes: new synaptic connections grow and prune on their own |
| Training Data | Supervised: annotate examples of a cat by hand | Unsupervised: learns without examples |
| Training Delay | Days or weeks to develop a model, then apply it | Real-time, always optimizing |
| Computing Power | Specialized GPU supercomputers | Off-the-shelf Raspberry Pis |
| End-To-End | No | Yes: sensory-input-to-motor-output |
| Time As A Factor | No | Yes: time is a critical component |
| Fractal / Recursive | No | Yes: feeding information back on itself at smallest, middle, and highest levels is critical |
