With Artificial Intelligence (AI), we are on the verge of a huge shift toward smarter and more autonomous computing devices – from cameras to cars, drones and robots.
Our solutions for AI already cover everything from smart sensors to fully unmanned cars, and we are developing tomorrow’s technologies for even more complex applications.
We enable our customers to create amazing products using the compute, acceleration and connectivity technologies fundamental to applying their algorithms and domain expertise.
Our partners possess the algorithms and domain knowledge to understand sensor inputs and apply them to applications. Our role is to create processors and accelerators to drive that learning and understanding, and enable real-time responses to the huge amounts of data coming from those inputs. For example, in autonomous vehicles, it’s of no use for our partners to have advanced collision avoidance systems if we cannot provide real-time response. This is an area in which our multi-threaded MIPS CPUs excel.
Our technology is designed to support or deliver AI applications.
We are seeing the emergence of intelligent safety-critical systems. From autonomous cars to industrial IoT to robotics and beyond, these systems need CPUs designed with a combination of high performance and compliance to functional safety standards. If you’re looking at CPU IP for these applications, your options are limited – most embedded functional safety CPUs today have limited performance.
The new MIPS I6500-F is a highly scalable 64-bit MIPS multiprocessing solution that has been stringently assessed and validated to meet functional safety (FuSa) compliance for ISO 26262 and IEC 61508 standards. This makes it ideal for handling the compute-intensive tasks in emerging safety-critical systems.
In addition, IoT systems built on MIPS-based MCUs allow multiple sensors to connect to the cloud, bringing data from hundreds or even thousands of sources. All of this data can be consolidated, understood and acted on by sophisticated MIPS I-class or P-class systems, with some decisions being made locally and some in the cloud.