tag: agentic AI

Human-Centered Agentic AI Workflows For RTL Verification
By Siemens EDA - 17 Mar, 2026 - Comments: 0

Productivity challenges in modern semiconductor development stem less from individual tool limitations and more from process-level complexity across design creation, verification, and iteration. Agentic EDA addresses this shift by embedding intelligence directly into workflows that span creation and validation. The Questa One Agentic Toolkit extends the Questa One solution with human-centere... » read more

Human-Centered Agentic AI Comes To RTL Verification
By Harry Foster - 12 Mar, 2026 - Comments: 0

For decades, productivity gains in electronic design automation (EDA) came from better engines. Faster solvers, higher-capacity simulators, and more scalable formal tools allowed design and verification teams to keep pace as designs grew larger. That model is no longer sufficient. Today’s design and verification bottleneck is not raw tool performance, but the coordination overhead required... » read more

A Framework That Generates Chip Layouts Directly From Natural Language Specifications (U. of Bristol, RAL)
By Technical Paper Link - 09 Mar, 2026 - Comments: 1

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

Follow The AI Leader
By Brian Bailey - 03 Mar, 2026 - Comments: 0

In the 1980s, a common expression was "nobody ever got fired for buying IBM." It was considered the safe option, long after new technologies had emerged. While it may not have been the most advanced option available, it remained the safe bet. It had an established ecosystem, and it was a known quantity. But who or what is the safe bet when it comes to AI? Who has the necessary data? Who has ... » read more

Using Data And AI More Effectively In EDA
By Brian Bailey - 26 Feb, 2026 - Comments: 0

Key Takeaways The data being produced by EDA tools tends to be for human consumption and has weak semantics. Agents are attempting to create actionable information from unstructured data. The Model Context Protocol may provide AI with access to better data. Semiconductor design generates a lot of data, but how much of that is useful or currently being used by AI tools? And h... » read more

The Race Begins For Much Bigger Abstractions In Data Centers
By Ed Sperling - 17 Feb, 2026 - Comments: 0

Key Takeaways Data center build-out is enabling much larger and more complex abstractions. Competition is building for digital/virtual twins across multiple industry segments, including automotive, aerospace, and chip manufacturing. AI, and particularly AI agents, will play a significant role in sorting through data to find potential trouble spots. The frenzy of new data cen... » read more

AI’s Impact On Engineering Jobs May Be Different Than Expected
By Liz Allan - 29 Jan, 2026 - Comments: 0

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

Agentic AI In Chip Manufacturing
By Ed Sperling - 28 Jan, 2026 - Comments: 1

Agentic AI — breaking AI into individual agents that can work together and collaboratively — will be the real game changer for AI in chip manufacturing. By taking humans out of the loop, these agents can be programmed using natural language to automatically solve problems and improve efficiency. Jon Herlocker, vice president and general manager of software analytics at Cohu, talks  about w... » read more

Revolutionizing Semiconductor Collaboration: The Emergence of AI-Driven Industry Platforms
By PDF Solutions - 13 Jan, 2026 - Comments: 0

Demand for advanced computing is robust, driven by AI, cloud technologies, and widespread electrification of the economy. As Moore’s Law slows, the industry is pivoting toward innovative approaches—exploring 3D architectures, chiplets, and sophisticated hybrid packages. Concurrently, the semiconductor landscape is becoming increasingly global, with advanced devices now relying on integratin... » read more

Is End-To-End Security Possible?
By Ed Sperling - 08 Jan, 2026 - Comments: 0

Looming financial penalties for data breaches are forcing chipmakers to confront end-to-end security, an increasingly complex and daunting problem because no single company controls all the pieces anymore. This is especially apparent in multi-die assemblies, in use today in data centers, and under consideration in automotive and other applications. Multiple chiplets can push performance well... » read more

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