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
- Bluetooth® Low Energy 6.2 PHY IP with Channel Sounding
- General use, integer-N 4GHz Hybrid Phase Locked Loop on TSMC 28HPC
- JPEG XL Encoder
- LPDDR6/5X/5 PHY V2 - Intel 18A-P
- ML-KEM Key Encapsulation & ML-DSA Digital Signature Engine
Related Blogs
- 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
- Semiconductor Growth from AI-Driven Design Productivity