How Is AI Driving the Next Innovation Wave for Electronic Design?
If it seems that AI is everywhere all at once these days, it’s not your imagination. From our smart speakers and web searches to arduous pursuits like climate change modeling and vaccine discovery, AI is optimizing and accelerating processes in a wide array of areas. In the chip design world, intelligence is providing an answer to the complicated challenges facing the semiconductor industry, from silicon engineering talent shortages to growing chip design complexities and aggressive time-to-market targets.
There was no shortage of insights into the challenges and opportunities of AI in the semiconductor industry during the recent SNUG Silicon Valley 2023 conference in Santa Clara. At one of the event’s lunchtime panels, “How AI Is Driving the Next Innovation Wave for EDA,” Karl Freund, founder and principal analyst at Cambrian-AI Research, moderated a lively discussion featuring:
- Thomas Andersen, VP of engineering in the Synopsys EDA Group
- Monica Farkash, principal member of the technical staff at AMD
- Savita Banerjee, DFT manager at Meta and SNUG Technical Committee chair
- Vikas Agrawal, director of engineering at NVIDIA
Read on to learn how these experts envision the role of AI in addressing key challenges across the chip development cycle.
To read the full article, click here
Related Semiconductor IP
- Ultra-Low-Power LPDDR3/LPDDR2/DDR3L Combo Subsystem
- Parameterizable compact BCH codec
- 1G BASE-T Ethernet Verification IP
- Network-on-Chip (NoC)
- Microsecond Channel (MSC/MSC-Plus) Controller
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
- Scaling for Success: How Weebit is Preparing for its Next Phase of Growth
Latest Blogs
- What Does a GPU Have to Do With Automotive Security?
- Physical AI at the Edge: A New Chapter in Device Intelligence
- Rivian’s autonomy breakthrough built with Arm: the compute foundation for the rise of physical AI
- AV1 Image File Format Specification Gets an Upgrade with AVIF v1.2.0
- Industry’s First End-to-End eUSB2V2 Demo for Edge AI and AI PCs at CES