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Artificial Intelligence
The demand for high-bandwidth, low-latency networking solutions has never been greater. As artificial intelligence (AI) workloads continue to grow exponentially, and hyperscale data centers become the backbone of our digital infrastructure, the need for faster and more efficient communication technologies becomes imperative.… Read More
In the technology realm of artificial intelligence (AI) and high-performance computing (HPC), the demand for higher throughput and efficiency has never been greater. To meet these evolving demands, innovative memory solutions have emerged as critical enablers, paving the way for transformative advancements in computing… Read More
The subjects of Generative AI and Large Language Models (LLMs) permeate businesses and the public conversation. It’s not without good reason! While this emergent field of AI develops, it is now seen at a minimum as a valuable assistant, or, often, a dramatic accelerant to productivity, even to technical workflows.
As we’re … Read More
Cadence recently held an event to dig into the emerging world of photonic computing. Called The Rise of Photonic Computing, it was a two-day event held in San Jose on February 7th and 8th. The first day of the event was also accessible virtually. I attended a panel discussion on the topic – more to come on that. The day delivered a rich… Read More
The relentless demand for lower power SoCs is evident across many markets. Examples include cutting-edge mobile, IoT, and wearable devices along with the high compute demands for AI and 5G/6G communications. Drivers for low power include battery life, thermal management and, for high compute applications, the overall cost… Read More
After owning general purpose compute in cell phones and IoT devices, it wasn’t clear what Arm’s next act might be. Seemingly the x86 giants dominated in datacenters and auguries suggested a bloody war in smaller platforms between Arm and RISC-V. But Arm knew what they were doing all along, growing upwards into infrastructure:… Read More
Continuing the multiphysics theme, I talked recently with Melika Roshandell (Product Management Director at Cadence) on the continuing convergence between MCAD and ECAD. You should know first that Melika has a PhD in mechanical engineering and an extensive background in thermal engineering at Broadcom and Qualcomm, all very… Read More
Laura Matz is also the Science & Technology Officer of Merck KGaA, Darmstadt, Germany. She has always been a key contributor to the growth in semiconductor materials, driving a strong R&D presence to enable business growth.
Laura is a strong advocate for young talent in science and engineering. As a leader, she builds … Read More
You might not immediately see a connection between semiconductor substrate choices and inference at the edge. These technology layers seem worlds apart and yet SOITEC have a point. Edge AI has rapidly evolved from simple CNNs to now complex reinforcement learning systems and transformer based LLMs. Even when shrunk to edge footprints,… Read More
A recent TechSpot article suggests that Apple is moving cautiously towards release of some kind of generative AI, possibly with iOS 18 and A17 Pro. This is interesting not just for Apple users like me but also for broader validation of a real mobile opportunity for generative AI. Which honestly had not seemed like a given, for multiple… Read More
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Rapidus, IBM, and the Billion-Dollar Silicon Sovereignty Bet