Distributed source coding represents a paradigm shift in data compression, wherein multiple correlated sources are encoded independently while still enabling joint decoding. This approach contrasts ...
Heterogeneous compute and a new paradigm for AI at the edge. In partnership withArm Artificial Intelligence (AI) is emerging in everyday use cases, thanks to advances in foundational models, more ...
For decades, the data center was a centralized place. As AI shifts to an everyday tool, that model is changing. We are moving toward a world of distributed data centers.
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