Autobrains' Liquid AI Sets New Benchmark In Automotive Intelligence
Autobrains, a pioneering automotive AI company based in Tel Aviv, has unveiled its newest innovation, Liquid AI. This advanced technology marks a significant leap forward in the field of autonomous driving and Advanced Driver Assistance Systems (ADAS), offering solutions to challenges that have long stumped even the most advanced automotive firms. Liquid AI integrates Autobrains' unique self-learning approach with a flexible and adaptive architecture, comprising specialized, scenario-based end-to-end skills.
"While current technologies perform well in handling average conventional driving tasks, they fall short when faced with unexpected real-world driving scenarios that demand greater precision. By using or implementing our Liquid AI, automotive companies can close their AI gaps," stated Igal Raichelgauz, Founder and CEO of Autobrains.

Conventional AI systems encounter several significant challenges:
- Edge Cases: The vast array of unforeseen driving scenarios presents nearly insurmountable tasks for conventional AIs. Current manually trained systems cannot adequately cover these edge cases, and attempts to do so by adding more labeled images lead to decreased trackability and controllability.
- Cost: Expanding existing systems with additional data, labeling, layers, and computational resources to address real-world driving problems leads to skyrocketing costs and power consumption, with diminishing returns. A tenfold improvement in system accuracy necessitates a 10,000-fold increase in computational resources.
- Perception-Decision Disconnect: The lack of interaction between perception and decision functions impedes effective and precise decision-making. Optimal driving choices require specific information, which is often missing or overly complex, resulting in incorrect reactions.
Liquid AI draws inspiration from the human brain's structure, which features specialized areas similar to task-specific narrow end-to-end AIs. This technology adapts its architecture dynamically based on the driving context, activating only the relevant modules as necessary. This approach significantly reduces power consumption and computational requirements, leading to cost savings for System on Chip (SoC) hardware.
Liquid AI consists of hundreds of thousands of specialized narrow AIs, each designed for specific tasks. This specialization allows for very precise reactions tailored to the relevant driving scenario. The scalable nature of this technology ranges from a few tens of AIs for ADAS systems to hundreds of thousands for full self-driving capabilities.
The Future of Automotive Intelligence
Autobrains' Liquid AI technology bridges the gap between the limitations of conventional AI systems and the potential for truly intelligent autonomous systems. By emulating the human brain's flexibility, Liquid AI achieves superior performance, cost-effectiveness, safety, explainability, and controllability.
About Autobrains: Autobrains is a leading force in the automotive industry's AI sector. With over 250 patents backing its innovative Liquid AI technology, Autobrains addresses autonomous driving challenges head-on. This unique AI technology disrupts the market with its exceptional perception capabilities, low compute requirements, and sensor and SoC agnosticity. The company enjoys support from strategic investors such as Temasek, Knorr-Bremse AG, BMW i Ventures, Toyota Ventures, VinFast, Continental AG, and Autel.
For more information on Autobrains and its groundbreaking Liquid AI technology, visit https://autobrains.ai.