Organizations risk being held back not by their compute power but by access to the data needed to fuel it. When input/output ...

Both cloud-based and edge AI hardware will continue getting better, but the balance may not shift in the NPU’s favor. “The cloud will always have more compute resources versus a mobile device,” said ...

Amazon and Alphabet are set to lead future AI workloads with in-house chips. Read here for an investment analysis of GOOG and ...

Google plans to start experimenting with data centres in space in just over a year, while SpaceX and Blue Origin are also ...

Computational biology expert Nadia Lanman helps cancer researchers find solutions in massive datasets generated through ...

Discover how rapid AI advances could trigger an AGI-driven market bubble by 2026, reshape equities, and impact rates.

Performance enhancement, cost reduction, data security, and improved energy efficiency are the end goals for optimizing AI workloads at the edge.