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
- Very Low Latency BCH Codec
- 5G-NTN Modem IP for Satellite User Terminals
- 400G UDP/IP Hardware Protocol Stack
- AXI-S Protocol Layer for UCIe
- HBM4E Controller IP
Related Blogs
- How SiFive is Driving AI and Datacenter Innovation
- How PCIe® Technology is Connecting Disaggregated Systems for Generative AI
- How Physical AI Is Redefining the Automotive Industry
- How is RISC-V’s open and customizable design changing embedded systems?
Latest Blogs
- Embedded Security explained: Post-Quantum Cryptography (PQC) for embedded Systems
- Accreditation Without Compromise: Making eFPGA Assurable for Decades
- Synopsys Delivers First Complete UFS 5.0 and M‑PHY v6.0 IP Solution for Next‑Gen Storage
- World First: Synopsys MACsec IP Receives ISO/PAS 8800 Certification for Automotive and Physical AI Security
- Last-level cache has become a critical SoC design element