Driving Change
Addressing these challenging real-world circumstances, is Autobrains "Liquid AI" innovation. Combining AI-assisted driving with its Autonomous Driving capabilities, this game-changing technology enhances situational awareness and decision-making, providing a safer and more reliable driving experience, which is crucial in building trust and adoption among both drivers and manufacturers.  As we continue to integrate AI into our vehicles, the question of generating trust becomes paramount. Traditional AI, with its narrow focus, often falls short when faced with the unpredictable nature of real-world driving. Liquid AI, however, marks a significant departure from this approach. By incorporating principles of human cognition, it learns and adapts in real-time, ensuring that our driving systems are predictable and optimized for any real-world driving scenario.

"The safety debate surrounding AVs is more relevant than ever," notes Autobrains Technologies Founder and CEO Igal Raichelgauz. "While AVs promise to reduce traffic fatalities by eliminating human error such as distracted driving, there are still significant reliability concerns for both manufacturers and drivers. The ongoing dialogue around AVs is critical, and we're not only at the forefront of these discussions, but also advancing AI that prioritizes driverless car safety. We believe our Liquid AI technology offers a paradigm shift by mimicking human cognitive processes, thereby improving the system's adaptability and decision-making in real-time. The automotive industry stands at a crossroad. We are proud to lead this charge, setting new standards for what AI in driving can achieve."

There are several key factors that differentiate Liquid AI from traditional AI systems:

    Robust Edge Case Handling: Effectively addresses the long tail of edge cases that traditional AI systems struggle with.

    Human-Like Cognitive Processing: Mimics human decision-making, allowing for better handling of unpredictable real-world conditions.

    Efficient Resource Utilization: Lower computational power requirements make it scalable across various vehicle models without compromising performance.

    Real-Time Learning: Liquid AI adapts in real-time to new driving scenarios, ensuring higher accuracy and fewer false positives.

With a background in AI innovation spanning multiple disciplines, Raichelgauz is a distinguished technology executive who has co-founded several successful businesses, including Cortica—a company renowned for its self-learning technology in visual perception.  Under his leadership, the Autobrains Liquid AI technology is now driving consequential change in the automotive industry by resolving autonomous vehicle reliability.