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Artificial Intelligence
We all know semiconductor design is getting harder. Much harder when you consider the demands of AI workloads and heterogeneous integration of many chiplets in a single package. This class of system demands co-optimization across the entire design flow. For example, functional verification, thermal analysis, signal and power… Read More
The world of AI algorithms continues to advance at a furious pace, and no industry is more dependent on those advances than automotive. While media and analysts continue to debate whether AI will deliver value in business applications, there is no question that it adds value to cars, in safety, some level of autonomous driving, … Read More
In an era defined by complex chip architectures, ever-shrinking technology nodes and very demanding applications, Silicon Lifecycle Management (SLM) has become a foundational strategy for optimizing performance, reliability, and efficiency across the lifespan of a semiconductor device. Central to effective SLM are Process,… Read More
The worldwide TSMC 2025 Technology Symposium recently kicked off with the first event in Santa Clara, California. These events typically focus on TSMC’s process technology and vast ecosystem. These items were certainly a focus for this year’s event as well. But there is now an additional item that shares the spotlight – packaging… Read More
From my vantage point in the EDA foxhole it can be easy to forget that Cadence also has interests in much broader technology domains. One of these is in data center modeling and optimization, through their Cadence Reality Digital Twin Platform. This is an area in which they already have significant track record collaborating with… Read More
At NVIDIA’s recent GTC conference, a Cadence-NVIDIA joint session provided insights into how AI-powered innovation is reshaping the future of data center infrastructure. Led by Kourosh Nemati, Senior Data Center Cooling and Infrastructure Engineer from NVIDIA and Sherman Ikemoto, Sales Development Group Director from … Read More
Dr. Michael Förtsch, CEO of Q.ANT, is a physicist and innovator driving advancements in photonic computing and sensing technologies. With a PhD from the Max Planck Institute for the Science of Light, he leads Q.ANT’s development of Thin-Film Lithium Niobate (TFLN) technology, delivering groundbreaking energy efficiency … Read More
At the 2025 NVIDIA GTC Conference, CEO Jensen Huang delivered a sweeping keynote that painted the future of computing in bold strokes: a world powered by AI factories, built on accelerated computing, and driven by agentic, embodied AI capable of interacting with the physical world. He introduced the concept of Physical AI—intelligence… Read More
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
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Intel to Compete with Broadcom and Marvell in the Lucrative ASIC Business