Tackling Variability With AI-based Process Control


Jon Herlocker, co-founder and CEO of Tignis, sat down with Semiconductor Engineering to talk about how AI in advanced process control reduces equipment variability and corrects for process drift. What follows are excerpts of that conversation. SE: How is AI being used in semiconductor manufacturing and what will the impact be? Herlocker: AI is going to create a completely different factor... » read more

Broad Impact From Accelerating Tech Cycles


Experts at the Table: Semiconductor Engineering sat down to discuss the impact of leading edge technologies such as generative AI in data centers, AR/VR, and security architectures for connected devices, with Michael Kurniawan, business strategy manager at Accenture; Kaushal Vora, senior director and head of business acceleration and ecosystem at Renesas Electronics; Paul Karazuba, vice preside... » read more

True Zero Trust Combats IC Manufacturing Security Challenges


The semiconductor manufacturing industry is facing a host of unprecedented technology and security challenges. A common catchphrase these days is that “data is the new oil.” Data is everywhere, in everything we do, and there is both good and bad associated with this trend. Data everywhere creates new security issues that need to be addressed to protect the integrity of your information and ... » read more

AI-Driven Test Optimization Solves Semiconductor Test Costs And Design Schedules


Artificial Intelligence has become a pervasive technology that is being applied to solve today’s complex problems, especially in the areas involving exponentially large amounts of data, their analysis, and corresponding decision making that are otherwise limited by human abilities. Therefore, complex challenges in semiconductor design, test and manufacturing are a perfect match for AI. The... » read more

Strategic Collaborations Enabling The Future of Automotive


I just returned from CES last month, the world’s most influential tech and innovation event. With over 135K attendees from across the world, 4300 exhibitors, 250+ conference sessions, and 1000 speakers, CES 2024 was the place to explore emerging trends and disruptive innovations. As CES is the showcase for innovative technologies, it is no surprise that Artificial Intelligence (AI) had a s... » read more

Companies That Embrace Digital Transformation Have More Resilient Design And Supply Chains


Digital transformation has evolved quickly from a conceptual phase to a semiconductor industry change agent. The rapid take up of AI-enhanced product development is only accelerating this transformation and is further influenced by two connected trends: The movement of Moore’s Law from transistor scaling to system-level scaling, and the relatively recent redistribution of the global electroni... » read more

Addressing The New Wave Of The IoT With Edge AI


Today, we are witnessing the exponential growth IoT is experiencing. Every second, 127 devices are getting connected with an expected forecast for 43 billion IoT devices by 2027. As this market grows and evolves, so does the demand for more sophisticated, powerful, energy efficient and accurate system solutions that can help enrich the way of life. Among the many crucial technologies enabling ... » read more

Preparing For An AI-Driven Future In Chips


Experts at the Table: Semiconductor Engineering sat down to discuss the impact of AI on semiconductor architectures, tools, and security, with Michael Kurniawan, business strategy manager at Accenture; Kaushal Vora, senior director and head of business acceleration and ecosystem at Renesas Electronics; Paul Karazuba, vice president of marketing at Expedera; and Chowdary Yanamadala, technology s... » read more

Formal Verification’s Usefulness Widens


Formal verification is being deployed more often and in more places in chip designs as the number of possible interactions grows, and as those chips are used in more critical applications. In the past, much of formal verification was focused on whether a chip would function properly. But as designs become more complex and heterogeneous, and as use cases change, formal verification is being u... » 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

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