Integration Challenges For ATE Data


Tighter integration of automatic test equipment (ATE) into semiconductor manufacturing, so that data from one process can be seamlessly leveraged by another, holds significant promise to boost manufacturing efficiency and yield. The challenge is selling this concept to fabs, packaging houses, and their customers. Data involving yield parameters, process variations, and intricate details abou... » read more

Securing Automotive Ethernet Connections With MACsec


Zonal architecture in automotive design has become common in recent years in response to the increasing complexity of in-vehicle electrical systems. Automotive Ethernet is used to connect sensors and actuators to zonal gateways in ADAS (Advanced Driver Assistance Systems) enabled vehicles. With multi-gigabit links, it further connects zonal gateways to the central compute units that handle ADAS... » read more

Protecting Highly Confidential Data In IoT Devices


How should we approach the protection of highly confidential security parameters and personal data? It's just like our daily routines: when we leave home, we lock the door and take care not to lose the key. Similarly, in the realm of cybersecurity, safeguarding cryptographic keys is paramount. No matter how robust your data protection system is, it's rendered ineffective if keys or passwords... » read more

Securing Automotive Ethernet With MACsec Silicon IP


In today’s cars, the Ethernet standard is the go-to solution for connecting zonal gateways to the central compute units that handle ADAS functionality. However, in-vehicle networks are vulnerable to a number of security threats, including eavesdropping, denial-of-service attacks, man-in-the middle attacks, and unauthorized access. This white paper explores how MACsec provides an effective sol... » read more

Data Management Challenges In Heterogeneous Systems


Experts at the Table: Semiconductor Engineering sat down to discuss issues in smart manufacturing of chips, including data management, chiplets, and standards, with Mujtaba Hamid, general manager for product management for secure cloud environments at Microsoft; Vijaykishan Narayanan, vice president and general manager of India engineering and operations at proteanTecs; KT Moore, vice presiden... » read more

Chip Industry Week In Review


By Liz Allan, Jesse Allen, and Karen Heyman Global semiconductor equipment billings dipped 2% year-over-year to US$25.8 billion in Q2, and slipped 4% compared with Q1, according to SEMI. Similarly, the top 10 semiconductor foundries reported a 1.1% quarterly-over-quarter revenue decline in Q2. A rebound is anticipated in Q3, according to TrendForce. Synopsys extended its AI-driven EDA ... » read more

Need To Share Data Widens In IC Manufacturing


Experts at the Table: Semiconductor Engineering sat down to discuss issues in smart manufacturing of chips, including data management and grounding, chiplets, and standards, with Mujtaba Hamid, general manager for product management for secure cloud environments at Microsoft; Vijaykishan Narayanan, vice president and general manager of India engineering and operations at proteanTecs; KT Moore,... » read more

New Concepts Required For Security Verification


Verification for security requires new practices in both the development and verification flows, but tools and methodologies to enable this are rudimentary today. Flows are becoming more complex, especially when they span multiple development groups. Security is special in that it is pervasive throughout the development process, requiring both positive and negative verification. Positive ver... » read more

Week In Review: Semiconductor Manufacturing, Test


Intel dropped out of a $5.4 billion deal to purchase Tower Semiconductor in Israel. Intel cited the inability to obtain regulatory approval in a timely manner as the reason for ending the deal signed in February. Intel will pay a $353 million termination fee to Tower. The silicon wafer supply has moved back into positive territory for 2023 thanks to a 7% decline in wafer shipments combined w... » read more

AI Transformer Models Enable Machine Vision Object Detection


The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the models and simplify their development. Over the years, many AI models have been introduced, including YOLO, Faster R-CNN, Mask R-CNN, RetinaNet, and others, to detect images or video signals, interp... » read more

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