tag: artificial intelligence

Smart Test Collides With The Data Chain
By Gregory Haley - 12 May, 2026 - Comments: 0

Key Takeaways: The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and still carry a latent defect the test record never captured. As test grows more adaptive, the validity of the measurement environment matters as much as the measurement itself. For years, the test roadmap has pointed toward more adaptive f... » read more

Creating Agentic EDA Methodologies
By Brian Bailey - 30 Apr, 2026 - Comments: 1

Key takeaways Agentic methodologies need to be able to reason across multiple data formats and abstractions. It is not clear how much data from previous designs is useful in new designs. Standards may help, but the lack of them may only impact cost. The relationship between tools and methodologies is bidirectional. Tools enable methodologies, and methodologies are dependent ... » read more

Leveraging Agentic AI Techniques to Improve Formal Verification (Infineon, et al.)
By Technical Paper Link - 28 Apr, 2026 - Comments: 0

A new technical paper, "Agentic AI-based Coverage Closure for Formal Verification," was published by researchers at Infineon and the NIT Jalandhar. Abstract "Coverage closure is a critical requirement in Integrated Chip (IC) development process and key metric for verification sign-off. However, traditional exhaustive approaches often fail to achieve full coverage within project timelines.... » read more

Autonomous Driving: Assessment Of YOLO Algorithms (RMIT et al.)
By Technical Paper Link - 11 Feb, 2026 - Comments: 0

A new technical paper titled "Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous vehicles" was published by RMIT University, Kyungpook National University, Deakin University and the RCA Robotics Laboratory, Royal College of Art. Abstract "Ensuring the safety and efficiency of Autonomous Vehicles (AVs) necessitates highly accurate perception, especia... » read more

5 Strategic Decisions for Building a Scalable Compute Platform for Now and the Future
By Arm - 11 Feb, 2026 - Comments: 0

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

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

Efficient Synchronous Dataflow Execution For GPUs (NVIDIA, UW-Madison)
By Technical Paper Link - 15 Dec, 2025 - Comments: 0

A new technical paper titled "Kitsune: Enabling Dataflow Execution on GPUs with Spatial Pipelines" was published by researchers at NVIDIA and the University of Wisconsin-Madison. Abstract "State-of-the-art DL models are growing in size and complexity, with many modern models also increasing in heterogeneity of behavior. GPUs are still the dominant platform for DL applications, relying on ... » read more

The Growing Need For Collaboration Across The Semiconductor Industry
By PDF Solutions - 09 Dec, 2025 - Comments: 0

Abstract: AI-driven collaboration is becoming essential for the semiconductor industry to manage its increasingly complex global supply chain. This new model facilitates real-time data sharing and multi-party orchestration, moving beyond conventional, crisis-driven interactions. By leveraging a secure data infrastructure, automated orchestration, and AI agents, companies can automate busines... » read more

AI Techniques To Solve HW-SW Challenges For Useful Quantum Computing (Nvidia, U. of Oxford et al.)
By Technical Paper Link - 07 Dec, 2025 - Comments: 0

A new technical paper "Artificial intelligence for quantum computing" was published by researchers at NVIDIA, University of Oxford, University of Toronto, Quantum Motion, University of Waterloo et al. Abstract "Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extend... » read more

AI With Open And Scaled Data Sharing in IC Manufacturing (NIST)
By Technical Paper Link - 02 Dec, 2025 - Comments: 2

A new workshop report titled "Artificial Intelligence with Open and Scaled Data Sharing in Semiconductor Manufacturing" was published by NIST. Abstract "The Workshop sponsored by the National Science Foundation (NSF) (NSF award 2334590, "Artificial Intelligence with Open and Scaled Data Sharing in the Semiconductor Industry") and supported by the National Institute of Standards and Techno... » read more

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