AI-Driven Verification Regression Management


By Paul Carzola and Taruna Reddy Coping with the endless growth in chip size and complexity requires innovative electronic design automation (EDA) solutions at every stage of the development process. Better algorithms, increased parallelism, higher levels of abstraction, execution on graphics processing units (GPUs), and use of AI and machine learning (ML) all contribute to these solutions. ... » read more

New Ways To Improve EDA Productivity


EDA vendors are taking aim at new ways to improve the productivity of design and verification engineers, who are struggling to keep pace with exponential increases in chip complexity in tight time-to-market windows and with constrained engineering talent pipelines. In the past, progress often was as straightforward as improving algorithms or parallelizing computations in a linear flow. But w... » read more

Need For Speed Drives Targeted Testing


As packaging complexity increases and nodes shrink, defect detection becomes significantly more difficult. Engineers must contend with subtle variations introduced during fabrication and assembly without sacrificing throughput. New material stacks degrade signal-to-noise ratios, which makes metrology more difficult. At the same time, inspection systems face a more nuanced challenge — how t... » read more

Research Bits: April 22


PIC heterogeneous integration Researchers from Hewlett Packard Labs, Indian Institutes of Technology Madras, Microsoft Research, and University of Michigan built an AI acceleration platform based on heterogeneously integrated photonic ICs. The PIC combines silicon photonics along with III-V compound semiconductors that functionally integrate lasers and optical amplifiers to reduce optical l... » read more

Secure Handling Of Financial Data In Manufacturing


Experts at the Table: Semiconductor Engineering sat down to discuss the advantages associated with linking financial data with manufacturing data analytic platforms, real security challenges and the best uses for AI/ML methods, with Dieter Rathei, CEO of DR Yield; Jon Holt, senior director of product management at PDF Solutions, Alex Burlak, vice president of advanced analytics and test at p... » read more

Packaging With Fewer People And Better Results


Advanced packaging has evolved far beyond the simple stacking of dies and connecting of interposers. Once a passive conduit between silicon and the outside world, it has become an active component of overall device performance. In today’s multi-die assemblies, the assembly and packaging lines are expected to maintain signal integrity at multi-gigahertz frequencies, manage heat in verticall... » read more

What’s Changing In SerDes


SerDes is all about pushing data through the smallest number of physical channels. But when it comes to AI, more data needs to be moved, and it has to be moved more quickly. Todd Bermensolo, product marketing manager at Alphawave Semi, talks about the impact of faster data movement on the transmitter (more power) and on the receiver (gain and advanced equalization), how to ensure signal inte... » read more

AI Agents Need Goals


Experts At The Table: Definitions and goals matter when it comes to using AI effectively, and it has to be tightly reined in to be effective. Semiconductor Engineering sat down with a panel of experts to discuss these issues and others, including Johannes Stahl, senior director of product line management for the Systems Design Group at Synopsys; Michael Young, director of product marketing for ... » read more

Leveraging Foundation IP For Low-Power AI Processor Development


Artificial intelligence (AI) has become widespread in recent years, quickly establishing itself as a groundbreaking technology. AI operates on machine learning (ML) algorithms, which demand substantial computational power. Traditionally, designers have utilized graphics processing units (GPUs) to run these ML algorithms. Initially created for graphics rendering, GPUs have shown to be highly eff... » read more

Are You Ready For AI?


The semiconductor industry sits at the heart of the artificial intelligence revolution, providing the essential computational foundation that powers AI's rapid evolution. However, new research suggests that while AI adoption is accelerating globally, strategic implementation remains a significant challenge across industries. According to the recently released Arm AI Readiness Index Report, 8... » read more

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