Neurorobotics Insights: Bridging Math and Physical AI
- Jul 30
- 2 min read
MediaMetrics: The Art of AI — Chapter 1
During his MediaMetrics feature alongside co-guest Vladimir Konyshev, Loran Jacobs discussed how neurorobotics connects applied mathematics, brain science, and physical AI systems.
Featured alongside Vladimir Konyshev, CEO of Neurobotics and Head of the Neurorobotics Lab at MIPT, Loran Jacobs, PhD in Physics and Mathematics, shared practical perspectives on modern research ecosystems. Serving as Executive Director of the R&D Center at MIPT and Deputy CEO of Neurobotics, the AI scientist holding double Ph.D. in Quantum Physics & Abstract Algebra emphasized that software engineering serves as a practical extension of abstract logic, turning theoretical frameworks into market-ready physical hardware.
Decoding Neurorobotics: Combining Neuroscience and AI
Loran Jacobs observed that formal job classification registries fail to reflect emerging interdisciplinary fields at the intersection of neurophysiology and machine learning. In conversation with Vladimir Konyshev, who outlined the dual nature of neurophysiology and software execution, the recognized authority in AI Software Development highlighted how mathematical models materialize through code.
"Math in that sense is more conservative and self-contained, whereas programming turns abstract, complex math into tangible products. That is the essence of AI: a triumph of mathematicians over the modern world," explains Loran.
Neurophysiologists analyze brain functions to inspire neural networks, while machine learning techniques assist scientists in deciphering complex biological systems. This bidirectional synergy defines the foundation of the MIPT ecosystem.
Market Evolution in Neurorobotics: Industrial to Collaborative Tech
Beyond theoretical models, the DeepTech pioneer evaluated industry statistics with Vladimir Konyshev to illustrate the sector's growth. While legacy industrial automation reached $19.5 billion with 400,000 units shipped in 2018 without AI, Loran Jacobs pointed out that $19 billion represents a relatively modest figure when compared to broader technology sectors.
As Vladimir Konyshev detailed the surge in collaborative robotics (cobots)—a $1 billion market where software accounts for 30% of total value—the prominent figure in the AI ecosystem emphasized that AI methods powering physical robots operating alongside humans in real environments represent the ultimate milestone of physical AI development.
