tag: data analytics

Combining Silicon Data Capture And Edge Processing Offers A Promising Solution For Automotive OEMs
By Lorin Kennedy - 05 Sep, 2024 - Comments: 0

By Lorin Kennedy and Jasmin Mulaosmanovic In the world of electric (EV) and software-defined vehicles (SDV), a key challenge and opportunity besets original equipment manufacturers (OEM): that of effectively harnessing in-vehicle and silicon data to improve user experience and quite literally drive business benefits. While collecting telemetry data is straightforward enough, the difficulty l... » read more

Real-Time Safety Monitoring
By Ed Sperling - 28 Aug, 2024 - Comments: 0

Various types of semiconductor test will determine whether a chip is free of defects and meets the specification, but understanding how it's behaving in the field under real workloads and harsh ambient conditions may be very different in automotive applications, where vibration, heat, cold can disrupt the normal functioning of a chip over time and reduce its lifespan. Alex Burlak, vice presiden... » read more

Achieving Zero Defect Manufacturing Part 2: Finding Defect Sources
By Prasad Bachiraju - 06 Aug, 2024 - Comments: 1

Semiconductor manufacturing creates a wealth of data – from materials, products, factory subsystems and equipment. But how do we best utilize that information to optimize processes and reach the goal of zero defect manufacturing? This is a topic we first explored in our previous blog, “Achieving Zero Defect Manufacturing Part 1: Detect & Classify.” In it, we examined real-time defe... » read more

Achieving Zero Defect Manufacturing Part 1: Detect & Classify
By Prasad Bachiraju - 11 Jun, 2024 - Comments: 0

Whether the discussion is about smart manufacturing or digital transformation, one of the biggest conversations in the semiconductor industry today centers on the tremendous amount of data fabs collect and how they utilize that data. While chip makers are accumulating petabytes of data across the entire semiconductor process, a question arises: how much of that information is being fully uti... » read more

Using Predictive Data Analytics In Manufacturing
By Dieter Rathei - 11 Jun, 2024 - Comments: 0

Data is said to be the gold of the 21st century, but is that true? Even with trillions of lines of data in your database, you won’t be mining any gold – unless you understand what the data means. Here’s what’s happening all around the semiconductor industry: we have far too much data. The problem is that the value you need is hidden in the data, and to mine the gold from it, you need to... » read more

The Future Of Data Analytics And Semiconductor Testing
By Michael Chang - 11 Jun, 2024 - Comments: 0

The world is changing more rapidly than ever. With the explosion of Artificial Intelligence (AI), Machine Learning (ML) and data analytics, semiconductor manufacturers now have the opportunity to extract valuable insights from the massive amounts of data being generated throughout the silicon lifecycle. By leveraging AI algorithms and ML, semiconductor manufacturers can now optimize silicon des... » read more

Chip Design Digs Deeper Into AI
By Ann Mutschler - 03 Jun, 2024 - Comments: 0

Growing demand for blazing fast and extremely dense multi-chiplet systems are pushing chip design deeper into AI, which increasingly is viewed as the best solution for sifting through scores of possible configurations, constraints, and variables in the least amount of time. This shift has broad implications for the future of chip design. In the past, collaborations typically involved the chi... » read more

AI-Powered Data Analytics To Revolutionize The Semiconductor Industry
By Reela Samuel - 30 May, 2024 - Comments: 1

In the age where data reigns supreme, the semiconductor industry stands on the cusp of revolutionary change, redefining complexity and productivity through a lens crafted by artificial intelligence (AI). The intersection of AI and the semiconductor industry is not merely an emerging trend—it is the fulcrum upon which the next generation of technological innovation balances. Semiconductor comp... » read more

AI For Data Management
By Adam Kovac - 30 May, 2024 - Comments: 0

Data management is becoming a significant new challenge for the chip industry, as well as a brand new opportunity, as the amount of data collected at every step of design through manufacturing continues to grow. Exacerbating the problem is the rising complexity of designs, many of which are highly customized and domain-specific at the leading edge, as well as increasing demands for reliabili... » read more

EDA Looks Beyond Chips
By Ed Sperling - 25 Apr, 2024 - Comments: 0

Large EDA companies are looking at huge new opportunities that reach well beyond semiconductors, combining large-scale multi-physics simulations with methodologies and tools that were developed for chips. Top EDA executives have been talking about expanding into adjacent markets for more than a decade, but the broader markets were largely closed to them. In fact, the only significant step in... » read more

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