A thought leader with demonstrated history in multiple roles- project life cycles, ideation, implementation, and closing projects delivering business value and delighting stakeholders, crafting technical aspects of the company’s strategy for aligning with the business goals perfectly, discovering and implementing … Read More
Tag: machine learning
Measuring Local EUV Resist Blur with Machine Learning
Resist blur remains a topic that is relatively unexplored in lithography. Blur has the effect of reducing the difference between the maximum and minimum doses in the local region containing the feature. Blur is particularly important for EUV lithography since EUV lithography is prone to stochastic fluctuations and also driven… Read More
Transformative Year for Sondrel
This is our third year working with Sondrel and it has been a great experience. I have always been fascinated with the ASIC business and put a full chapter about it in our first book “Fabless: The Transformation of the Semiconductor industry.” Companies like Sondrel enabled our move to the fabless model and now they … Read More
proteanTecs On-Chip Monitoring and Deep Data Analytics System
State-of-the-art electronics demand high performance, low power consumption, small footprint and high reliability from their semiconductor products. While this imperative is true across many different market segments, it is critical for applications such as the automotive/autonomous driving and data centers. As electronic… Read More
AI and Machine Unlearning: Navigating the Forgotten Path
In the rapidly evolving landscape of artificial intelligence (AI), the concept of machine unlearning has emerged as a fascinating and crucial area of research. While the traditional paradigm of AI focuses on training models to learn from data and improve their performance over time, the notion of unlearning takes a step further… Read More
Quadric’s Chimera GPNPU IP Blends NPU and DSP to Create a New Category of Hybrid SoC Processor
Performance, Power and Area (PPA) are the commonly touted metrics in the semiconductor industry placing PPA among the most widely used acronyms relating to chip development. And rightly so as these three metrics greatly impact all electronic products that are developed. The degree of impact depends of course on the specific … Read More
Intellectual Abilities of Artificial Intelligence (AI)
To understand AI’s capabilities and abilities we need to recognize the different components and subsets of AI. Terms like Neural Networks, Machine Learning (ML), and Deep Learning, need to be define and explained.
In general, Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed… Read More
Machine Learning in the Fab at #59DAC
It used to be true that a foundry or fab would create a set of DRC files, provide them to designers, and then the process yield would be acceptable, however if the foundry knows more details about the physical implementation of IC designs then they can improve the yield. Using a digital twin of the design, process and metrology steps… Read More
Using AI in EDA for Multidisciplinary Design Analysis and Optimization
Most IC and system engineers follow a familiar process when designing a new product: create a model, use parameters for the model, simulate the model, observe the results, compare results versus requirements, change the parameters or model and repeat until satisfied or it’s time to tape out. On the EDA side, most tools perform… Read More
CEO Interview: Veerbhan Kheterpal of Quadric.io
It was my pleasure to meet Veerbhan Kheterpal. Veerbhan has founded three technology companies and has full stack expertise spanning software to silicon across Edge & Datacenter applications. Currently, he is a CEO & co-founder of quadric.io, a company that has created a new processor architecture for high performance… Read More