tag: ML

Improving Yield With Machine Learning
By Laura Peters - 12 Jul, 2022 - Comments: 0

Machine learning is becoming increasingly valuable in semiconductor manufacturing, where it is being used to improve yield and throughput. This is especially important in process control, where data sets are noisy. Neural networks can identify patterns that exceed human capability, or perform classification faster. Consequently, they are being deployed across a variety of manufacturing proce... » read more

Who Does Processor Validation?
By Brian Bailey - 27 Jun, 2022 - Comments: 1

Defining what a processor is, and what it is supposed to do, is not always as easy as it sounds. In fact, companies are struggling with the implications of hundreds of heterogenous processing elements crammed into a single chip or package. Companies have extensive verification methodologies, but not for validation. Verification is a process of ensuring that an implementation matches a specif... » read more

Active Learning: Integrating Natural Intelligence Into Artificial Intelligence
By Oliver Gnepper - 09 Jun, 2022 - Comments: 0

Today, very few people would likely deny the fact that data can present major added value for companies. But analyzing data from production processes reveals the incompleteness of data collection and the associated reduced potential of the data that can be leveraged. Typical shortcomings include: Incomplete representation of processes in the dataspace, Inadequate connection of processes... » read more

DRAM Thermal Issues Reach Crisis Point
By Karen Heyman - 09 Jun, 2022 - Comments: 5

Within the DRAM world, thermal issues are at a crisis point. At 14nm and below, and in the most advanced packaging schemes, an entirely new metric may be needed to address the multiplier effect of how thermal density increasingly turns minor issues into major problems. A few overheated transistors may not greatly affect reliability, but the heat generated from a few billion transistors does.... » read more

AI-Powered Verification
By Brian Bailey - 01 Jun, 2022 - Comments: 1

With functional verification consuming more time and effort than design, the chip industry is looking at every possible way to make the verification process more effective and more efficient. Artificial intelligence (AI) and machine learning (ML) are being tested to see how big an impact they can have. While there is progress, it still appears to be just touching the periphery of the problem... » read more

Improving PPA With AI
By John Koon - 12 May, 2022 - Comments: 0

AI/ML/DL is starting to show up in EDA tools for a variety of steps in the semiconductor design flow, many of them aimed at improving performance, reducing power, and speeding time to market by catching errors that humans might overlook. It's unlikely that complex SoCs, or heterogeneous integration in advanced packages, ever will be perfect at first silicon. Still, the number of common error... » read more

How AI/ML Improves Fab Operations
By Laura Peters - 10 May, 2022 - Comments: 0

Chip shortages are forcing fabs and OSATs to maximize capacity and assess how much benefit AI and machine learning can provide. This is particularly important in light of the growth projections by market analysts. The chip manufacturing industry is expected to double in size over the next five years, and collective improvements in factories, AI databases, and tools will be essential for doub... » read more

EDA On Cloud Presents Unique Challenges
By Ann Mutschler - 31 Mar, 2022 - Comments: 0

Discussions about cloud-based EDA tools are heating up for both hardware and software engineering projects, opening the door to vast compute resources that can be scaled up and down as needed. Still, not everyone is on board with this shift, and even companies that use the cloud don't necessarily want to use it for every aspect of chip design. But the number of cloud-based EDA tools is growi... » read more

Why Comparing Processors Is So Difficult
By Brian Bailey - 10 Mar, 2022 - Comments: 2

Every new processor claims to be the fastest, the cheapest, or the most power frugal, but how those claims are measured and the supporting information can range from very useful to irrelevant. The chip industry is struggling far more than in the past to provide informative metrics. Twenty years ago, it was relatively easy to measure processor performance. It was a combination of the rate at ... » read more

Robots Become More Useful In Factories
By John Koon - 10 Mar, 2022 - Comments: 0

Most people associate factory automation with large robotic machines, such as those that weld automobile chassis on assembly lines. But as prices drop and technology improves, robots are being deployed for smaller and more varied tasks, and they are getting better at all of them. Inside of factories, robots can significantly improve output, consistency, and reliability. They can work around ... » read more

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