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Embedded Devices for Neuromorphic Time-Series Assessment

📅 Published: January 12, 2022 👤 Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin 📖 Research Explorer (The University of Manchester) 📊 628 citations
AI-Generated Summary

Modern computation based on the von Neumann architecture is today a mature cutting-edge science. The Roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges for each research area.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 In the Von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously.
  • 2 This data transfer is responsible for a large part of the power consumption.
  • 3 The next generation computer technology is expected to solve problems at the exascale with 1018 calculations each second.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published Jan 12, 2022
Journal Research Explorer (The University of Manchester)
DOI 10.13016/m2ksy0-wxr3
Citations 628
Authors Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin