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Editorial for the Special Issue on the Progress of Emerging Hardware Development for Post-Moore's Computing.
1Intel Corporation, Hillsboro, OR 97124, USA.
Micromachines
|January 21, 2023
Summary
Developing specialized hardware is crucial for unlocking the future potential of machine learning and novel computing architectures, particularly for bio-inspired and unconventional computing. This advancement will enable more efficient computational methods.
Area of Science:
- Computer Science
- Computational Biology
- Hardware Engineering
Background:
- The integration of machine learning (ML) with novel computing architectures presents significant opportunities for scientific advancement.
- Current computational hardware often lacks the specialized requirements for emerging fields like bio-inspired and unconventional computing.
Discussion:
- Exploiting the full potential of ML and novel computing necessitates the development of highly efficient, specialized hardware.
- Bio-inspired computing and unconventional computing schemes require tailored hardware solutions to overcome existing limitations.
Key Insights:
- Hardware efficiency is a critical bottleneck for realizing advanced ML and novel computing paradigms.
- Future breakthroughs depend on creating hardware that specifically addresses the unique demands of bio-inspired and unconventional computing.
Outlook:
- Continued research into novel computing architectures and specialized hardware is essential.
- The development of efficient hardware will accelerate progress in fields leveraging bio-inspired and unconventional computing methods.
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