When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Moving data is one of the big challenges in the AI world. There is so much data being generated that even moving it back and forth from processors to memories requires a significant amount of power, ...