The Growing Market for Specialized Artificial Intelligence IP in SoCs
By Synopsys
Over the past decade, designers have developed silicon technologies that run advanced deep learning mathematics fast enough to explore and implement artificial intelligence (AI) applications such as object identification, voice and facial recognition, and more. Machine vision applications, which are now often more accurate than a human, are one of the key functions driving new system-on-chip (SoC) investments to satisfy the development of AI for everyday applications. Using convolutional neural networks (CNNs) and other deep learning algorithms in vision applications have made such an impact that AI capabilities within SoCs are becoming pervasive. It was summarized effectively by Semico’s 2018 AI Report “...some level of AI function in literally every type of silicon is strong and gaining momentum.”
Related Semiconductor IP
- 1-port Receiver or Transmitter HDCP 2.3 on HDMI 2.1 ESM
- HDMI 2.0/MHL RX Combo 1P PHY 6Gbps in TSMC 28nm HPC 1.8V, North/South Poly Orientation
- HDMI 2.0 RX PHY in SS 8LPP 1.8V, North/South Poly Orientation
- HDMI 2.0 RX Controller with HDCP
- HDMI 2.0 RX 4P PHY 6Gbps in TSMC 28nm HPM 1.8V, North/South Poly Orientation
Related White Papers
- Paving the way for the next generation of audio codec for True Wireless Stereo (TWS) applications - PART 5 : Cutting time to market in a safe and timely manner
- Select the Right Microcontroller IP for Your High-Integrity SoCs
- PCIe IP With Enhanced Security For The Automotive Market
- Colibri, the codec for perfect quality and fast distribution of professional AV over IP
Latest White Papers
- New Realities Demand a New Approach to System Verification and Validation
- How silicon and circuit optimizations help FPGAs offer lower size, power and cost in video bridging applications
- Sustainable Hardware Specialization
- PCIe IP With Enhanced Security For The Automotive Market
- Top 5 Reasons why CPU is the Best Processor for AI Inference