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Artificial Intelligence
HPC Bandwidth Explosion and 1.6T Ecosystem Interop Need
The exponential growth in data bandwidth requirements driven by HPC systems, AI, and ML applications has set the stage for an ever-increasing need for 1.6Tbps Ethernet. As data centers strive to manage vast data transfers with maximum efficiency, the urgency for interoperability… Read More
Whatever software engineering teams are considering around leveraging AI in their development cycles should be of interest to us in hardware engineering. Not in every respect perhaps but there should be significant commonalities. I found a recent paper on the Future of AI-Driven Software Engineering from the University of … Read More
Hot on the heels of DVConUS 2025, the 35th annual Synopsys User Group (SNUG) Conference made its mark as a defining moment in the evolution of Synopsys—and the broader electronic design automation (EDA) industry. This year’s milestone event not only underscored Synopsys’ continued innovation but also affirmed the vision… Read More
One-time programmable (OTP) non-volatile memory has been around for a long time. Compared to other non-volatile memory technologies OTP has a smaller footprint and does not require additional manufacturing steps, making it a popular choice to store items such as boot code and encryption keys. While this sounds simple, the growth… Read More
The annual SNUG (Synopsys Users Group) conference, now in its 35th year, once again brought together key stakeholders to showcase accomplishments, discuss challenges, and explore opportunities within the semiconductor and electronics industry. With approximately 2,500 attendees, SNUG 2025 served as a dynamic hub for collaboration… Read More
Generative AI is dramatically changing the compute power that must be delivered by advanced designs. This demand has risen by more than 10,000 times in the past five to six years. This increased demand has impacted the entire SoC design flow. We are now faced with going beyond 1 trillion transistors per chip, and systems now consist… Read More
Memory testing in the early days of computing was a relatively straightforward process. Designers relied on simple, deterministic approaches to verify the functionality of memory modules. However, as memory density increased and systems became more complex, the likelihood of faults also rose. With advancements in memory… Read More
Innovation in analog design moves slowly, not from lack of desire for better methods from designers or lack of effort and ideas from design tech innovators, but simply because the space is so challenging. Continuous time and signals, and variances in ambient/process characteristics represent a multi-dimensional space across… Read More
We have been hearing so much lately about the power of AI and the potential of technologies like agentic AI to address the productivity gap and complexities of semiconductor designs of today and tomorrow. Currently, however, the semiconductor industry has been slow to adopt generative and agentic AI for RTL design code. There… Read More
AI has changed a lot in the last ten years. In 2012, convolutional neural networks (CNNs) were the state of the art for computer vision. Then around 2020 vison transformers (ViTs) redefined machine learning. Now, Vision-Language Models (VLMs) are changing the game again—blending image and text understanding to power everything… Read More
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