Research
There are billions of billions of organisms that are currently deployed on the planet Earth. All of them came into existence by the process known as biological evolution and all of them are constantly preforming certain information processing or computational tasks. For all practical purposes these organisms can be considered as computers, but what is exactly their architecture? Do they have the classical von Neumann architecture or is there something else that we can identify and, perhaps, use for developing better computers? Do they use quantum effects or quantum computation, or all such effects are irrelevant for computations performed on the macroscopic scales of individual organisms? In Artificial Neural Computing we are developing a new bio-inspired computer by employing the latest advances in physics, biology and machine learning.
Physics
- Learning dynamics in physical systems
- Emergent quantum mechanics
- Emergent field theories
- Emergent space-time and gravity
Biology
- Multilevel learning in biological systems
- Phenomenology and phase transitions
- Algorithmic analysis of biological phenomena
Machine learning
- Theory of machine learning
- Physics and bio-inspired algorithms
- Critical phenomena and scale-invariance
- Symmetries and relevant invariants
