When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...
Features such as smart cockpits and ADAS require higher GPU computing power and AI inference capabilities, while systems must also meet multiple challenges such as functional safety, long life cycles, ...
AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them.
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