How has the evolution of computing architecture, such as the development of GPUs and TPUs, played a role in fueling the foundational shift towards AI?
What are some key considerations for designing data storage and processing systems to effectively support AI applications in the current computing architecture landscape?
How is the concept of edge computing influencing the way data is processed and utilized in AI systems, and what implications does this shift have for the future of computing architecture?
When they Tweet, their Tweets will show up here.