AI: Driving the Way to Safer and Smarter Cars


As autonomous vehicles have only begun to appear on limited public roads, it has become clear that achieving widespread adoption will take longer than early predictions suggested. With Level 3 systems in place, the road ahead leads to full autonomy and Level 5 self-driving. However, it’s going to be a long climb. Much of the technology that got the industry to Level 3 will not scale in all th... » read more

Network Security For AI/HPC: From MACsec/IPsec Towards Ultra Ethernet


The modern world is increasingly a digital one that encompasses the realm of electronic devices, the internet, and online platforms. This world is constantly evolving, driven by technological advancements and shaped by how humans interact with digital technologies. The key element of a digital world is information that needs to be collected, stored and processed in vast quantities. For many ... » read more

3D-ICs In The Automotive Market: Breaking Barriers With AI-Driven EDA Tools


The automotive industry is experiencing a significant transformation as it adopts innovations like autonomous driving technologies and ultra-connected ecosystems. At the core of this change is a rising demand for compact, high-performance semiconductor solutions that can handle the increasing complexity of modern vehicle architecture. One promising development is three-dimensional integrated ci... » read more

AI’s Value In Chip Design Depends On Data Availability


Experts at the Table: Semiconductor Engineering sat down to discuss the advantages and challenges in using AI in designing chips, with Chuck Alpert, Cadence Fellow; Sathish Balasubramanian, head of product marketing and senior director for custom IC at Siemens EDA; Anand Thiruvengadam, senior director and head of AI product management at Synopsys; Sailesh Kumar, CEO of Baya Systems; Mehir ... » read more

AI Effort And Money Misplaced


While it is early days, and innovation is important, hyperscalers cannot afford to keep throwing money away forever. They need to work out how AI will earn money, and that relies on inference. For some time, I have been intrigued by the amount of money being spent on model development and AI training compared to the investment in inference. Models are an enabler, and every new model is attem... » read more

AI Meets Device Modeling: Transforming Compact Modeling With Machine Learning


As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure reliable circuit simulation and design. Correspondingly, these accuracy requirements raise demands on the accuracy and efficiency of device modeling. Modern device models often involve hundreds o... » read more

Physical Access Control Raises New Security Concerns


Experts At The Table: Semiconductor Engineering sat down to discuss hardware security challenges, including fundamental security of GenAI, with Nicole Fern, principal security analyst at Keysight; Serge Leef, AI-For-Silicon strategist at Microsoft; Scott Best, senior director for silicon security products at Rambus; Lee Harrison, director of Tessent Automotive IC Solutions at Siemens EDA; Mohit... » read more

Machine Learning In Semiconductor Manufacturing


Second in a seven-part series: Machine learning is a mathematical construct that is the foundation for nearly all the advancements in AI. ML came first, but it remains relevant even today. It can be applied to semiconductor fab for such things as predictive maintenance of manufacturing equipment, rather than just maintenance on a schedule, which decreases downtime. But getting this right is har... » read more

Best Options For Using AI In Chip Design


Experts at the Table: Semiconductor Engineering sat down to discuss how and where AI can be applied to chip design to maximize its value, and how that will impact the design process, with Chuck Alpert, Cadence Fellow; Sathish Balasubramanian, head of product marketing and senior director for custom IC at Siemens EDA; Anand Thiruvengadam, senior director and head of AI product management at S... » read more

AI, From A To Z


First in a seven-part series: What's the difference between AI, ML, DL, LLMs, and agentic AI? Is it truly revolutionary, or is it an evolutionary series of steps that have enabled machines to do much more than in the past? Jon Herlocker, vice president and general manager of software analytics at Cohu, talks about the evolution of AI over nearly 70 years, the chain of innovation that has enable... » read more

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