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
- ISO/IEC 7816 Verification IP
- 50MHz to 800MHz Integer-N RC Phase-Locked Loop on SMIC 55nm LL
- Simulation VIP for AMBA CHI-C2C
- Process/Voltage/Temperature Sensor with Self-calibration (Supply voltage 1.2V) - TSMC 3nm N3P
- USB 20Gbps Device Controller
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
Latest Blogs
- A Comparison on Different AMBA 5 CHI Verification IPs
- Cadence Recognized as TSMC OIP Partner of the Year at 2025 OIP Ecosystem Forum
- Accelerating Development Cycles and Scalable, High-Performance On-Device AI with New Arm Lumex CSS Platform
- Desktop-Quality Ray-Traced Gaming and Intelligent AI Performance on Mobile with New Arm Mali G1-Ultra GPU
- Powering Scale Up and Scale Out with 224G SerDes for UALink and Ultra Ethernet