A Trillion-Dollar Industry: How AI Is Reinventing EDA and Semiconductors
When you gather a group of bright semiconductor folks in the middle of San Francisco and ask them what’s the biggest future challenge they’ll face, you’re bound to get a bunch of interesting answers. That was the case at a recent AI-themed panel hosted by Renesas outside the Moscone Center on the edges of SEMICON West.
Thoughts ranged widely. There was Advantest’s Ira Leventhal, citing the challenge of getting semiconductor industry players to share more design data so everyone can learn faster—something of a nirvana situation which may, or may not, ever be possible. Sailesh Chittipeddi from Renesas talked about the need to optimize the power efficiency of complex AI applications to radically reduce the amount of energy consumed. And Synopsys’ own Shankar Krishnamoorthy considered the cost of increased chip design complexity and how generative AI (GenAI) could have a major positive impact on the electronic design automation (EDA) industry over the next five years.
To read the full article, click here
Related Semiconductor IP
- USB 20Gbps Device Controller
- Fault Tolerant DDR2/DDR3/DDR4 Memory controller
- 25MHz to 4.0GHz Fractional-N RC PLL Synthesizer on TSMC 3nm N3P
- AGILEX 7 R-Tile Gen5 NVMe Host IP
- 100G PAM4 Serdes PHY - 14nm
Related Blogs
- How SiFive is Driving AI and Datacenter Innovation
- How Will EDA Benefit from the AI Revolution?
- How Will EDA Benefit from the AI Revolution? - Part 2
- How AI Is Enabling Digital Design Retargeting to Maximize Productivity
Latest Blogs
- Cadence Powers AI Infra Summit '25: Memory, Interconnect, and Interface Focus
- Integrating TDD Into the Product Development Lifecycle
- The Hidden Threat in Analog IC Migration: Why Electromigration rules can make or break your next tapeout
- MIPI CCI over I3C: Faster Camera Control for SoC Architects
- aTENNuate: Real-Time Audio Denoising