There is a great deal of design activity around emerging AI applications both at the Cloud level and for adding this type of functionality to edge devices in the form of Voice Activated Devices like the Amazon Echo and the Google Home Assistant among others. Initially, limited AI functionality is being added to SoCs in the form of Convolutional Neural Networks (CNNs). However, even mid-range FPGAs can accommodate smaller CNNs and still provide good performance to the application. Semico Research's new report, ASIC Design Starts for 2017 by Key End Market Applications, SC106-17, forecasts Artificial Intelligence Voice Activated Devices ASIC Design Starts CAGR will approach 20% by 2021. "AI in the form of pattern recognition, voice recognition and language translation will find its way into almost every device and application that has a CPU, GPU, DSP, VPU or FPGA and some level of computational resources in the near future," says Rich Wawrzyniak, Senior Analyst ASIC/SoC Research. "There is demand for these types of capabilities at every level and in every market segment to some degree. We believe these capabilities will become 'check-box' items at the very least and could spark the next great surge in the semiconductor market." Key findings of the report include:
Semico Research's new report, ASIC Design Starts for 2017 by Key End Market Applications, SC106-17, offers a comprehensive analysis of the ASIC design start landscape today and into the future and provide excellent data for product planning, marketing and sales activities at fabless semiconductor companies, 3rd Party IP vendors and major OEMs and IDMs and includes:
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