Can machine learning solve the challenges of complex 5G baseband?
The Mobile World Congress (MWC) in Barcelona this year was abuzz with exciting launches and announcements. While a handful of products were trying to rekindle the past, like the retro remake of the Nokia 8110 4G from the original Matrix film, the majority was looking to the future. Two technologies especially stood out as the embodiment of the future of the mobile world: Artificial Intelligence (AI) and 5G communication. But what is the connection between these two fields? Read on to find out.
To read the full article, click here
Related Semiconductor IP
- 5G IoT DSP
- 5G RAN DSP
- Simulation VIP for Ethernet 5G Network
- Inline cipher engine for PCIe, CXL, NVMe, 5G FlexE link integrity and data encryption (IDE) using AES GCM mode
- 5G Combo Serdes for USB/PCIe, TSMC 28HPC+, N/S orientation
Related Blogs
- Can AI-Driven Chip Design Meet the Challenges of Tomorrow?
- Industry Leaders Discuss "Overcoming the Challenges of Multi-die Systems Verification"
- Industry Leaders Discuss "Overcoming the Challenges of Multi-die Systems Verification"
- Navigating the challenges of manual IP design migrations
Latest Blogs
- What’s Your Vector? Synopsys Introduces New ARC VPX6 Digital Signal Processor
- Rambus CXL IP: A Journey from Spec to Compliance
- Alphawave Semi is in Play!
- Vision Transformers Have Already Overtaken CNNs: Here’s Why and What’s Needed for Best Performance
- Tailoring Root Of Trust Security Capabilities To Specific Customer Needs