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Artificial Intelligence
Artificial intelligence (AI) and machine learning (ML) are evolving at an extraordinary pace, powering advancements across industries. As models grow larger and more sophisticated, they require vast amounts of data to be processed in real-time. This demand puts pressure on the underlying hardware infrastructure, particularly… Read More
How do you measure safety for a DNN? There is no obvious way to screen for a subset of safety-critical nodes in the systolic array at the heart of DNNs. Paul Cunningham (GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst, entrepreneur, former Synopsys CTO and now Silvaco CTO) and I continue our series on research ideas.… Read More
As the demand for higher performance computing solutions grows, so does the need for faster, more efficient data communication between components in complex multi-die system-on-chip (SoC) designs. In response to these needs, Synopsys has introduced the world’s fastest UCIe-based IP solution, capable of operating at a groundbreaking… Read More
Even for experienced technologists some technologies can seem almost indistinguishable from magic. One example is the bird’s eye camera view available on your car’s infotainment screen. This view appears to be taken from a camera hovering tens of feet above your car. As an aid to parallel parking, it’s a brilliant invention; … Read More
The Impact of the AI Revolution on the Server Manufacturers
While some will designate my research as market research, I view it differently. Having done and bought plenty of market sizing research, I have not seen it lead to any change in behaviour or strategy. It has been used to confirm a strategy already decided and the “great” … Read More
The rapid proliferation of artificial intelligence (AI) across a growing number of hardware applications has driven an unprecedented demand for specialized compute acceleration not met by conventional von Neumann architectures. Among the competing alternatives, one showing the greatest promise is analog in-memory computing… Read More
Emotion AI, also known as affective computing or artificial emotional intelligence, is a rapidly growing field within artificial intelligence that seeks to understand, interpret, and respond to human emotions. This technology is designed to bridge the gap between human emotions and machine understanding, enabling more … Read More
In recent years, artificial intelligence (AI) has emerged as a transformative force across industries, driving both optimism and anxiety. As AI continues to evolve, its potential to automate tasks and improve efficiency raises an inevitable question: Will AI take our jobs? This fear is compounded by frequent reports of layoffs,… Read More
Despite NoCs being finely tuned in legacy subsystems, when subsystems are connected in larger designs or even across multi-die structures, differing traffic policies and system-level delays between NoCs can introduce new opportunities for deadlocks, livelocks and other hazards. Paul Cunningham (GM, Verification at Cadence),… Read More
In the rapidly evolving fields of high-performance computing (HPC) and artificial intelligence (AI), reducing time to market is crucial for maintaining competitive advantage. HBM3E systems play a pivotal role in this regard, particularly for hyperscaler and data center infrastructure customers. Alphawave Semi’s… Read More
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Quantum Computing Technologies and Challenges