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What is coming around the corner? —Photo by @tomasrobertson

Adaptable Computing Accelerators

A changing infrastructure for intelligent computing

There are writers who claim we are entering a new era with the current change in computing, particularly relating to the increased problems within machine learning applications. This can require a specialised form of computation that can be dealt with somewhat differentiated form of hardware. This article is a short summary of the piece written by Adam Scraba called Welcome to the Era of Real-Time AI.

  1. Hardware stack that can handle algorithms ranging from recurrent neural networks and long- and short-term memory networks, convolutional neural networks and query acceleration based on the Apache Spark cluster computing framework.

“The focus is shifting from computing horsepower to processing data through computational storage.”

Computing can be moved closer to the data. Integrating data analytics with storage significantly reduces system-level data bottlenecks, increases parallelism while reducing overall power requirements.

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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