Synopssis and Sima.AI announce strategic collaboration for accelerating AI solutions on edge devices for the automotive industry

Nasdaq (SNPS) and SIMA.AIs aimed at strategic collaboration aimed at providing a new solution to car manufacturers, which will enhance the development of silicone and software required to run the firmware and software of artificial accommodation apps that will be integrated into the next generation of vehicles. The new solution will combine electronic design solutions (EDA), its hardware components (IP) for the automotive industry and its verification solutions with hardware assistance, along with an accelerator for the size of Sima.ai and its full development environment for machine -learning apps, which enables maximum adjustment of logical units, Systems, dedicated computing units and systems on a chip.

Driver assistance systems (ADAS) and car entertainment systems, which offer a huge range of apps, become differentiation factors between car manufacturers. The increasing use of artificial intelligence (GNAI) requires the use of information processing on the computers in the vehicle and not in the cloud. However, existing software architecture for vehicles do not support the requirements of these range of apps, as well as the required processing, performance and reliability. In order to compete in this new environment, car manufacturers need a full development environment that is suitable for AI. This environment should enable hardware and software planning solutions and supplier consumption from Silicon to working systems, to reduce development costs and neutralize risks related to production schedules.

Synopsis technology for virtual computing systems is used by more than 50 OEM manufacturers and TIER1 suppliers. More than 1,000 virtual models for SOC IP, computing units and ASIC chips are equipped with this technology.

SIMA.AI is a software company that specializes in developing deep learning systems on chipset of end devices (MLSOC) which are high -performance and efficiency in supplier consumption. The company technologies offer maximum flexibility through support in the wide range of models, sensors and apps that automatically adapt to peak performance.

The integrated solution of the companies will enable an early examination of architectural solutions to develop hardware with better performance, lower power consumption and optimal software compatibility in developing systems on a chip for end devices in the automotive industry. The solution will use several language models and hardware libraries that have already been used in previous successful projects in the automotive industry.

Ravi Sobramanian, Director of Products and Markets, Synopssis: “The collaboration with Sima.ai will march in manufacturers in the automotive industry a large step forward in modernization of the shared design processes that will provide the demand for rich experiences in the vehicle that costs all the time and their complexity makes it difficult to supply. Leaders in the tests of architectures, IP and severity in combination with the innovative capabilities of SIMA.AI in the performance and supplier consumption tailored to machine learning preparations will allow customers to differentiate themselves with strict compliance with budget constraints and standards of the industry. ”