Teraki, a technology provider AI and edge processing, recently announced the immediate availability of its AI and edge processing technology, which his designed to meet the exploding data analytics demands of the automotive industry. Teraki’s Intelligent Signal Processing software reportedly delivers a more than tenfold increase in automotive chip, communications and learning performance, making highly accurate AI applications possible in embedded environments.
The company also announced that Infineon’s AURIX microcontrollers will be the first to market with an integration of Teraki’s AI technology. Teraki said it is taking technology honed at the highest end of data analytics accuracy requirements and scaling it efficiently for the highly-constrained automotive infrastructure and, over time, other data-intensive IoT markets.
“The biggest challenge for automotive system designers when implementing AI-driven applications is to find the balance between growing amounts of sensor data and the constraints of communication and processing technology. Utilizing Infineon’s AURIX microcontrollers that support ASIL-D systems, Teraki delivers an innovative approach that significantly improves data analytics and enables true low-latency mobility services,” said Ritesh Tyagi, head of the Infineon Silicon Valley Automotive Innovation Center. “For applications such as accident detection, driver behavior identification and predictive maintenance, the combination of these technologies translates into greater accuracy in detecting and responding to real-time events, resulting in higher levels of system reliability.”
Teraki has already generated significant momentum, completing several pre-production validations by premium automotive manufacturers and their chip suppliers, as well as having many ongoing proofs of concept with additional OEMs.
“The performance leaps our technology provides using Infineon’s AURIX microcontrollers usher in a new era of innovation possibilities for the automotive industry,” said Daniel Richart, cofounder and CEO, Teraki. “Our Intelligent Signal Processing software allows conventional sensors and ECUs to do far more, makes AI more practical, affordable and scalable, and significantly reduces CAN Bus and car-to-cloud bandwidth constraints.”
The mathematics behind the technology comes from co-founders Daniel Richart and Markus Kopf, and a team consisting of more than 10 researchers. Richart comes from the Max Planck Institute of Quantum Optics in Munich working under Nobel Prize-winning atomic physicist Theodor W. Hänsch. Richart led research projects in quantum computing, a new field challenged by analyzing enormous volumes of data representing the multiple possible simultaneous combinations of quantum states of a particle.
Ken Briodagh is a writer and editor with more than a decade of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.