AI Computing in VLSI systems
The emerging growth in artificial intelligence technology enabled various innovative results. The AI principles can be applied almost everywhere to enhance the existing results. VLSI devices are a high speed platform with customized logical elements inside. The configurable logical blocks need to be tuned with respect to the demand from the customer end.
On the other hand how come FPGA handle the large dataset generated for achiving the AI standards in terms of accuracy. the GPU process getting degraded when the number of processing elements increased. FPGA developers have started tuning the Accelerators to improve the performance and meet up the requirement. VLSI design principles are lightweight and enable the logical tuning adaptive to the AI principles. FPGA core is manufactured with AI blocks in recent days. Intel developing a AI suite supporting FPGA platform. the research scope of FPGA accelerators are highly improved now. for more research idea in VLSI check relevant contents in the blog. Keep reading.
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