Can AI-Driven Chip Design Meet the Challenges of Tomorrow?
While we don’t yet know the full impact that AI will make on chip design, one thing is for certain: the impact will be far-reaching, with potential to transform engineering productivity and the chips themselves. This transformation comes at an opportune time, given the conflicting pressures of increasing compute demands on chips coupled with engineering talent shortages.
Since we’re in the early stages of this AI journey in the semiconductor industry, there’s no shortage of perspectives and questions raised around the topic. Some of these thoughts were covered during a lunchtime panel that packed a ballroom at the Santa Clara Convention Center on the first day of SNUG Silicon Valley 2024.
To read the full article, click here
Related Semiconductor IP
- Root of Trust (RoT)
- Fixed Point Doppler Channel IP core
- Multi-protocol wireless plaform integrating Bluetooth Dual Mode, IEEE 802.15.4 (for Thread, Zigbee and Matter)
- Polyphase Video Scaler
- Compact, low-power, 8bit ADC on GF 22nm FDX
Related Blogs
- A Boost For Fabless Chip Design in India
- Different By Design: Customized Processors Help Build Chip Differentiation
- Delivering a Secure, Cloud-Based SoC Design Environment for Aerospace Chip Designers
- Charting a Productive New Course for AI in Chip Design
Latest Blogs
- Cadence Announces Industry's First Verification IP for Embedded USB2v2 (eUSB2v2)
- The Industry’s First USB4 Device IP Certification Will Speed Innovation and Edge AI Enablement
- Understanding Extended Metadata in CXL 3.1: What It Means for Your Systems
- 2025 Outlook with Mahesh Tirupattur of Analog Bits
- eUSB2 Version 2 with 4.8Gbps and the Use Cases: A Comprehensive Overview