A Framework That Generates Chip Layouts Directly From Natural Language Specifications (U. of Bristol, RAL)


A new technical paper, "NL2GDS: LLM-aided interface for Open Source Chip Design," was published by researchers at University of Bristol and Rutherford Appleton Laboratory. Abstract "The growing complexity of hardware design and the widening gap between high-level specifications and register-transfer level (RTL) implementation hinder rapid prototyping and system design. We introduce NL2GDS (... » read more

Survey of GenAI Across the Full Computing Stack, From SW To Silicon (Harvard)


Harvard University researchers published "GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon." Abstract "Generative AI is reshaping how computing systems are designed, optimized, and built, yet research remains fragmented across software, architecture, and chip design communities. This paper takes a cross-stack perspective, examining how generative models... » read more

5 Strategic Decisions for Building a Scalable Compute Platform for Now and the Future


Artificial intelligence (AI) is no longer a “nice-to-have” technology—it’s a central driver of competitive advantage and business innovation. Across industries, enterprises are moving beyond experimentation and embedding AI into all their products, workflows, and customer experiences. But as organizations scale, many are discovering a stark reality: their compute infrastructure was not ... » read more

AI’s Impact On Engineering Jobs May Be Different Than Expected


Key Takeaways: AI is expected to eliminate many repetitive, entry-level tasks, but that may allow engineering students trained on the latest tools to start in more senior positions. AI is a force multiplier. It can accelerate the learning curve for junior engineers. While AI is very good at solving multi-dimensional problems, domain expertise, critical thinking, and sanity checks wil... » read more

China GenAI: Who Will Fill The Vacuum?


China and the U.S.A are locked in a titanic battle over tariffs. The U.S. makes the world’s best AI Accelerators: Nvidia, AMD, Google, AWS …among others. But the U.S. worries China could deploy these for military purposes, so it imposed strict export controls that resulted in China getting the second-best AI accelerators. These export controls have been further tightened as part of tarif... » read more

MIT’s Survey On Accelerators and Processors for Inference, With Peak Performance And Power Comparisons


A new technical paper titled "Lincoln AI Computing Survey (LAICS) and Trends" was published by researchers at MIT Lincoln Laboratory Supercomputing Center. Abstract "In the past year, generative AI (GenAI) models have received a tremendous amount of attention, which in turn has increased attention to computing systems for training and inference for GenAI. Hence, an update to this survey is ... » read more

AI Bubble Or Boom?


Are we in an AI bubble? Parallels are being drawn to the dot.com boom/bust of 1999-2000. In the dot.com bust, many high-tech companies valuations soared up 10X, then deflated. The peak P/E ratio for the Nasdaq Composite was 200! Remember Webvan? It went public November 1999 with an $8 billion valuation, then filed for bankruptcy 19 months later. It was much speculation without profits or gro... » read more

Physical Access Control Raises New Security Concerns


Experts At The Table: Semiconductor Engineering sat down to discuss hardware security challenges, including fundamental security of GenAI, with Nicole Fern, principal security analyst at Keysight; Serge Leef, AI-For-Silicon strategist at Microsoft; Scott Best, senior director for silicon security products at Rambus; Lee Harrison, director of Tessent Automotive IC Solutions at Siemens EDA; Mohit... » read more

Reliable Training Data Paramount To AI Model Success


AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is reliable, secure, and which is generated from trusted sources. AI activity is growing exponentially, as everybody tries to figure out how to apply it to their domain, application, or workload. In ... » read more

Security Tradeoffs: A Difficult Balance


Experts At The Table: Semiconductor Engineering sat down to discuss hardware security challenges, including new threat models from AI-based attacks, with Nicole Fern, principal security analyst at Keysight; Serge Leef, AI-For-Silicon strategist at Microsoft; Scott Best, senior director for silicon security products at Rambus; Lee Harrison, director of Tessent Automotive IC Solutions at Sieme... » read more

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