Zachary G. Ives – Communications of the ACM

Research and Advances Feb 1 2021

Technical Perspective: Solving the Signal Reconstruction Problem at Scale

"Scalable Signal Reconstruction for a Broad Range of Applications," by Abolfazl Asudeh, et al. shows that algorithmic insights about SRP, combined with database techniques, can be used to scalably solve the signal reconstruction problem.

Architecture and Hardware

Author Archives

Research and Advances May 1 2019

Technical Perspective: Compressing Matrices for Large-Scale Machine Learning

Demand for more powerful big data analytics solutions has spurred the development of novel programming models, abstractions, and platforms. "Scaling Machine Learning via Compressed Linear Algebra" seeks to address many of these challenges by applying database ideas.

Artificial Intelligence and Machine Learning

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