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What Is a Workload in Cloud Computing

Scalegrid

Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. Memory Allocation: Allocating sufficient memory linked directly to the assigned CPU ensures effective utilization resulting in better system speed. This also aids scalability down the line.

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Upcoming of the learned data structures

Abhishek Tiwari

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. They demonstrated that neural nets based learned index outperforms cache-optimized B-Tree index by up to 70% in speed while saving an order-of-magnitude in memory.

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What We Learned Auditing Sophisticated AI for Bias

O'Reilly

In particular, NIST’s SP1270 Towards a Standard for Identifying and Managing Bias in Artificial Intelligence , a resource associated with the draft AI RMF, is extremely useful in bias audits of newer and complex AI systems. When that data is used to train an AI system, that system can replicate our bad behavior with speed and scale.