We are re-inventing AI.
We are creating embodied intelligence.
Existing autonomous vehicle systems face formidable obstacles in reliably navigating diverse driving environments, resulting in unpredictable behavior. This inherent fragility of the current approaches due to the infinite variability of real-world scenarios and objects poses challenges that cannot be fully addressed through traditional methods.
Minus Zero is pioneering a new approach to the underlying AI methodologies with Nature-inspired AI, a new paradigm for building truly generalized autonomous agents on edge, inspired by the elegant design of a human brain that makes us more capable decision-makers than computer algorithms, nurturing the roadmap toward AGI.
Nature-inspired AI (NIA) derives its foundations from neuronal computations inside a human brain, contributing to learning, behavioral awareness, adaptation, episodic memory and predictive decision-making.
Nature-inspired AI proposes loosely supervised physics-informed and context-aware learning methods that can represent the associations and correlations beyond limited taxonomy reasoning and can adapt its domain understanding across scenarios.
Nature-inspired AI allows algorithms to perceive social contracts, predicting the behavior and interactions between the intelligent agents and the environment in a spatio-temporal context. This allows it to be aware of the impact of potential future outcomes in the surroundings.
Nature-inspired AI allows algorithms to perceive social contracts, predicting the behavior and interactions between the intelligent agents and the environment in a spatiotemporal context. This allows it to be aware of the impact of potential future outcomes in the surroundings.
True Vision Autonomy (TVA) is the most scalable and human-like autonomous vehicle stack built on the prowess of Nature-inspired AI. Relying purely on cameras as primary sensors, it is an enhanced AI suite coupled natively with our software and hardware architecture, including high-grade cameras and power-efficient in-vehicle compute.
Engineered for edge, TVA is optimized for real-time and safety critical deployment with high-performance middleware and safety utilities, giving it the ability to scale to full autonomy. This includes custom engineered utilities for runtime optimization, low-latency inference, system supervisor, error handling, self-diagnostics and teleoperations.
Can be scaled up to Level 5 capabilities
Eliminates LiDARs, RADARS, high-precision IMUs, GPS-RTK and HD Mapping
Use Case Agnostic
True Vision Autonomy can scale easily across multiple use cases like robo-taxis, logistics, last-mile delivery and personal transportation.
True Vision Autonomy can easily adapt its domain understanding across geographies, terrains, and environmental conditions.
True Vision Autonomy can fluidly adapt to any kind of vehicle form-factor without re-designing the software.