Harnessing Digital Twins And AI/ML For Smarter Semiconductor Test Optimization


As semiconductor devices become increasingly complex, the challenge of testing them efficiently and accurately grows in parallel. Traditional testing methods—rooted in static test plans—often fall short in dealing with the nuances of today's advanced integrated circuits (ICs), especially in high-volume manufacturing environments. In response, the industry is exploring real-time, data-dri... » read more

Systematic Training and Validation of AI-based Systems With Digital Twins and Scenario Engineering


A new technical paper, "Towards Structured Training and Validation of AI-based Systems with Digital Twin Scenarios," was published by researchers at RWTH Aachen University and RIF e.V. Abstract "Artificial intelligence (AI) has emerged as a pivotal technology for autonomous systems across various domains, but quality assurance remains challenging due to limited training data and inadequate ... » read more

Digital Twins: The Cloud’s The Limit


Key Takeaways Digital twins are gaining traction as a way of testing different options at every step of the design-through-manufacturing flow. AI can be used to glue together disparate data types in multi-physics simulations. The promise of digital twins is huge, but multiple challenges need to be solved before it can live up to its potential. Digital twin technology is draw... » read more

The Future of Semiconductors: Engineering in the Convergence era


The semiconductor industry is entering a convergence era where silicon, software, physics, packaging, security, AI, and power constraints all intertwine. Device scaling still matters but architecture, integration, verification, and automation will define the industry’s trajectory. Organizations that embrace this cross-domain, lifecycle-oriented mindset will define the next decade. Moore’... » read more

Edge And Micro Data Centers: Powering The Real-Time Digital World


The modern world no longer runs on delayed responses. It runs on immediacy. When a self-driving vehicle identifies a pedestrian, when a factory robot adjusts production in milliseconds, or when an augmented reality overlay appears instantly during remote surgery, there is no tolerance for latency. These applications demand data processing that happens almost at the speed of human reflexes. B... » read more

Tool And Methodology Changes Coming In Fab And Package Automation


Experts at the table: Semiconductor Engineering sat down to discuss what's changing in semiconductor fabs and packaging houses with Michael Lowman, senior product marketing manager for Data Analytics at Cohu; Aftkhar Aslam, CEO at yieldWerx, Woo Young Han, product marketing director at Onto Innovation; and Lihong Cao, senior director of engineering and technical marketing for ASE. What foll... » read more

Data Center Digital Twins: How Simulation Improves Design And Performance


Data center digital twins are transforming data center design from assumption-based planning to physics-backed simulation—well before the first rack is deployed. By combining physics simulations with real operational data, a data center digital twin enables teams to predict performance, reduce risk, and optimize capacity with measurable confidence. As power densities rise from AI and hype... » read more

The Race Begins For Much Bigger Abstractions In Data Centers


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

Navigating Software-Defined Vehicle Development


The automotive industry is experiencing a profound transformation as vehicles shift from primarily mechanical systems to high-performance, software-driven platforms. The emergence of Software-Defined Vehicles (SDVs) is reshaping the value chain, requiring OEMs and their partners to rethink design, development, and validation strategies. This content outlines how convergence of silicon and sy... » read more

Every Atom Now Counts In Advanced Chip Manufacturing


Artificial-intelligence workloads are pushing semiconductor design to a point where traditional scaling strategies are running out of room. Performance improvements that once came from shrinking transistors now depend increasingly on how devices are stacked, interconnected, and isolated. Transistor scaling still matters, but advanced device architectures no longer can accommodate the power dens... » read more

← Older posts