Electromigration Performance Of Fine-Line Cu Redistribution Layer (RDL) For HDFO Packaging


The downsizing trend of devices gives rise to continuous demands of increasing input/output (I/O) and circuit density, and these needs encourage the development of a High-Density Fan-Out (HDFO) package with fine copper (Cu) redistribution layer (RDL). For mobile and networking application with high performance, HDFO is an emerging solution because aggressive design rules can be applied to HDFO ... » read more

Many More Hurdles In Heterogeneous Integration


Advanced packaging options continue to stack up in the pursuit of “More than Moore” and higher levels of integration. It has become a place where many high-density interconnects converge, and where many new and familiar problems need to be addressed. The industry’s first foray into fine-pitch multi-die packaging utilized silicon interposers with through-silicon vias (TSVs) to deliver s... » read more

Navigating Heat In Advanced Packaging


The integration of multiple heterogeneous dies in a package is pivotal for extending Moore’s Law and enhancing performance, power efficiency, and functionality, but it also is raising significant issues over how to manage the thermal load. Advanced packaging provides a way to pack more features and functions into a device, increasingly by stacking various components vertically rather than ... » read more

Developing ReRAM As Next Generation On-Chip Memory For Machine Learning, Image Processing And Other Advanced CPU Applications


In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, designers are adding additional on-chip memory to their CPUs. Traditionally, SRAM has been the most widely used on-chip CPU memory type. Unfortunately, SRAM is currently limited to a size of hundreds of ... » read more

AI-Driven Innovation For Manufacturing Automation


By Calvin Shiao, AshtonWS Huang, and Alfos Hsu Artificial intelligence (AI) is changing the world and improving our lives in many ways. The semiconductor industry is a key part of the AI revolution, as it provides powerful computing chips for AI applications and leverages AI to optimize business operations and management, customer service, office workflows, as well as the intricate realms of... » read more

Photonic Debonding Provides A Cost-Efficient, High-Throughput Debond Process


As emerging technologies require ultrathinned device wafers, traditional debonding processes can pose some challenges. Photonic debonding is an innovative debonding process utilizing a carrier coated with an inorganic metal release layer that aids in the release of the thinned wafer from the carrier substrate with no force and no damage to the delicate wafer upon activation of the release layer... » read more

Semiconductors Accelerate The Artificial Intelligence Revolution


By Ajit Manocha, Pushkar Apte, and Melissa Grupen-Shemansky Five years ago, SEMI published an article predicting that Artificial Intelligence (AI) would change everything – and it has! AI has moved out of labs and taken popular imagination by storm. It is now a hot topic of discussion everywhere, from family dining tables and corporate boardrooms to corridors of government. While it m... » read more

An Efficient, Cost-Effective, Continuous Polymer Purification Method


Polymer precipitation is a crucial process in chemical engineering and is widely applicable to many industries including semiconductors, pharmaceuticals, and wastewater treatment. In many industries, batch polymer precipitation is a common technique for polymer purification. However, batch polymer precipitation is an arduous and inefficient process, which generates excess solvent waste. It is l... » read more

3D Integration Supports CIM Versatility And Accuracy


Compute-in-memory (CIM) is gaining attention due to its efficiency in limiting the movement of massive volumes of data, but it's not perfect. CIM modules can help reduce the cost of computation for AI workloads, and they can learn from the highly efficient approaches taken by biological brains. When it comes to versatility, scalability, and accuracy, however, significant tradeoffs are requir... » read more

Money Pours Into New Fabs And Facilities


Fabs, packaging, test and assembly, and R&D all drew major funding in 2023. Companies poured money into offshore locations, such as India and Malaysia, to access a larger workforce and lower costs, while also partnering with governments to secure domestic supply chains amid ongoing geopolitical turmoil. Looking ahead, artificial intelligence (AI), quantum computing, and data applications... » read more

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