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
- WIFI 2.4G/5G Low Power Wakeup Radio IP
- Radar IP
- WIFI 11AX IP
- WIFI 11AX IoT IP
- mmWave 8x8 MIMO RF Front End V2
Related Blogs
- How SiFive is Driving AI and Datacenter Innovation
- How Is AI Driving the Next Innovation Wave for Electronic Design?
- How Will EDA Benefit from the AI Revolution?
- How Will EDA Benefit from the AI Revolution? - Part 2
Latest Blogs
- Unlock early software development for custom RISC-V designs with faster simulation
- HBM4 Boosts Memory Performance for AI Training
- Using AI to Accelerate Chip Design: Dynamic, Adaptive Flows
- Locking When Emulating Xtensa LX Multi-Core on a Xilinx FPGA
- Design IP Market Increased by All-time-high: 20% in 2024!