IEEE Transactions on Cognitive and Developmental Systems · 2021 · 25 citations · 56 references
ComputingComputer EngineeringComputer ScienceArtificial IntelligenceAutomationEdge ComputingEdge AnalyticsEdge ArchitectureEdge Artificial IntelligenceEdge Computing InfrastructureEdge Data ProcessingEdge DevicesApplication FunnelArtificial General IntelligenceEdge Computing HardwareEdge Computing NetworksEdge IntelligenceEdge-ai IntegrationHuman IntelligenceIndustrial Edge Devices
The AI chips increasingly focus on implementing neural computing at low power and cost. The intelligent sensing, automation, and edge computing applications have been the market drivers for AI chips. Increasingly, the generalisation, performance, robustness, and scalability of the AI chip solutions are compared with human-like intelligence abilities. Such a requirement to transit from application-specific to general intelligence AI chip must consider several factors. This article provides an overview of this cross-disciplinary field of study, elaborating on the generalisation of intelligence as understood in building artificial general intelligence (AGI) systems. This work presents a listing of emerging AI chip technologies, classification of edge AI implementations, and the funnel design flow for AGI chip development. Finally, the design consideration required for building an AGI chip is listed along with the methods for testing and validating it.
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In-Datacenter Performance Analysis of a Tensor Processing Unit
Norman P. Jouppi, Cliff Young, Nishant Patil et al. · 2017 · 4.4K citations
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Mike Davies, Narayan Srinivasa, Tsung-Han Lin et al. · IEEE Micro · 2018 · 3.7K citations
Engineering, Computer Engineering, Computational Neuroscience +16