Multiple Challenges Emerge With Physical AI System Design


Physical AI holds the promise of making everything from robots to a slew of mobile edge devices much more interactive and useful, but it will significantly alter how systems are designed, verified, and monitored. Physical AI systems need to work both independently and together. They need the ability to make decisions quickly and locally, typically using much less power than other types of AI... » read more

Startup Tips To Get From Seed Funding To Series A, B, C


Startups are often created by experienced engineers who figure out how to solve a technical problem they are dealing with at work, or by PhD candidates in research labs before they have even started their first full-time job. Either way, getting seed money to the tune of a few million dollars is relatively easy compared to securing further rounds of funding and achieving the company’s exit go... » read more

AI Agents For UVM Generation: Challenges And Opportunities


By Yuheng Tang and Kexun Zhang In the last two years, the role of AI tools in developers' workflows has rapidly expanded. What were once simple "code completion" engines have since evolved into agents that can read documentation, test their own code, and improve via self-reflection. While AI has already begun enhancing RTL design workflows, its exploration in verification remains in early st... » read more

Navigating The Challenges Of Group Design Projects


All over the world, governments and industry have come together to solve large-scale chip design challenges. Groups such as the U.S. Department of Defense’s Microelectronics Hubs (ME Commons), the EU Chips Act pilot lines, and Japan’s government-backed Rapidus consortium often consist of established companies, research institutes, academia, and startups – each of which brings different sk... » read more

AI’s Value In Chip Design Depends On Data Availability


Experts at the Table: Semiconductor Engineering sat down to discuss the advantages and challenges in using AI in designing chips, with Chuck Alpert, Cadence Fellow; Sathish Balasubramanian, head of product marketing and senior director for custom IC at Siemens EDA; Anand Thiruvengadam, senior director and head of AI product management at Synopsys; Sailesh Kumar, CEO of Baya Systems; Mehir ... » read more

Government Funding For Chip Design Tools Spreads


Governments around the globe are starting to invest more heavily in chip design tools and related research as part of an effort to boost on-shore chip production, opening new opportunities for startups and established EDA companies. Those cash infusions, which are being doled out in the U.S., Europe, and Asia, are part of a growing recognition of the importance of design automation tools wit... » read more

Silicon Lifecycle Management Gains Traction, But It’s Complicated


Silicon lifecycle management (SLM) is gaining ground in semiconductor design and test by leveraging specialized on-die sensors and analytics engines to improve power, performance, yield, and reliability. Most modern SoCs mitigate the guesswork by leveraging DFT, which includes adding memory built-in self-test (BiST) or improving functional coverage, but these tests were meant for verifying c... » read more

Best Options For Using AI In Chip Design


Experts at the Table: Semiconductor Engineering sat down to discuss how and where AI can be applied to chip design to maximize its value, and how that will impact the design process, with Chuck Alpert, Cadence Fellow; Sathish Balasubramanian, head of product marketing and senior director for custom IC at Siemens EDA; Anand Thiruvengadam, senior director and head of AI product management at S... » read more

AI Drives More Realistic Gaming


Video games are utilizing artificial intelligence to create increasingly realistic scenarios and interactions, enabled by big increases in processing horsepower and memory, and significantly faster data movement. GPUs, once confined to graphics rendering, are now also being deployed across a wide range of AI tasks, generating more realistic non-player characters, dynamic worlds, personalized... » read more

Agentic AI: Lots Of Little Black Boxes


AI is changing so quickly that it's not always clear how much of a security threat it poses for semiconductor design, and that uncertainty increases as AI agents are introduced into the mix. So far, the use of AI in chip design has been highly targeted. Most of what is included in design tools is some version of machine learning, bounded by tight control loops. EDA and IP vendors, large chip... » read more

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