Cartica.ai making the world safer faster

Twelve years ago, we hired Austin, a 15-year-old that was flunking out of school? Why was he flunking out of school? Because he was so smart that school didn’t challenge him. After he started working for us, his grades went up. Why? Because public learning is all about organized learning.

What if you went to school and flunked out? Is it because you’re stupid, or because your brain thinks differently than organized learning? Could unsupervised learning surpass organized learning in the artificial intelligence field? Cartica AI thinks it can.

Earlier this year, Toyota AI Ventures LLC joined Continental AG, BMW iVentures, and OurCrowd Ltd. invested in Cartica.ai, and it’s more than 200 patents. These OEMs and Tier One suppliers are partnering with the automotive spinoff of computer vision company Cortica Inc. to enable automated and autonomous driving systems to more rapidly adapt to and handle new traffic situations, which will significantly reduce the manual adaptation.

Cartica.ai AI’s unsupervised approach to learning mimics the way the brain processes information: enabling machines to learn, collaborate, and interact with the world. Once Austin saw a bottle, he did not need to be told that if the bottle was upside down, or partially hidden that it was still a bottle. He was smart; he could decipher that on his own.

Cartica.ai uses its core revolutionary artificial intelligence technology in conjunction with its proprietary object-classification software in the same way for Advanced Driver-Assistance Systems (ADAS). The company also claimed it could provide robust perception in all weather conditions and support predictive artificial intelligence, localization and mapping, and vehicle data sharing. Cartex 1.0 is driving the next generation of ADAS and AV. Running directly on the Renesas V3H rCar System on Chip (SoC), Cartex is enabling a variety of ADAS solutions.

Other companies are looking at the infinitesimal deep-learning edge cases that could happen. Cartica delves into the unsupervised learning from real-world data. The technology transforms sensor-based data (coming from video cameras and radars, for example) to compressed generic signatures in a unique unsupervised manner.

By making Cartica AI’s software available to the entire automotive industry and distributing advanced driver assistance systems worldwide, Continental plans to promote the rapid adoption of AI for safe mobility.

The market for automotive biometrics identification is forecast to surpass $300 million by 2024.