How Physical AI Is Redefining The Automotive Industry


The automotive world is experiencing a groundbreaking transformation, with technology and AI-driven innovation at its core. Among the most significant advancements is the rise of physical AI, a concept that is redefining the industry from the ground up. Physical AI goes beyond traditional artificial intelligence by enabling autonomous systems to seamlessly perceive, understand, and interact wit... » read more

Times Are Changing For EDA


The EDA industry is about 50 years old, and I see the people responsible for its first generation setting their LinkedIn employment status to 'retired, at home' almost daily. I, for one, have a foot in that camp, but reporting/writing is different than having a full-time job because I can control the time commitment. We have seen many serial entrepreneurs who have created several successful com... » read more

How AI And Connected Workflows Will Close The Verification Bottleneck


For decades, verification has been the unsung hero of chip development—quietly catching bugs before they reach silicon. But as semiconductor complexity has skyrocketed, verification has turned into the bottleneck of development cycles. This challenge has a name: Verification Productivity Gap 2.0. Back in the early 2000s, the Verification Productivity Gap 1.0 emerged when design complexi... » read more

Unleashing AI Potential Through Advanced Chiplet Architectures


The rapid proliferation of machine-generated data is driving unprecedented demand for scalable AI infrastructure, placing extreme pressure on compute and connectivity within data centers. As the power requirements and carbon footprint of AI workloads rise, there is a critical need for efficient, high-performance hardware solutions to meet growing demands. Traditional monolithic ICs will not sca... » read more

The Evolving Role Of AI In Verification


Experts At The Table: The pressure on verification engineers to ensure the functional correctness of devices has increased exponentially as chips have gotten more complex and evolved into SoC, 3D-ICs, multi-die chiplets and beyond. Semiconductor Engineering sat down with a panel of experts, which included Josh Rensch, director of application engineering at Arteris; Matt Graham, senior group dir... » read more

Big Changes Ahead For Interposers And Substrates


Interposers and substrates are undergoing a profound transformation from intermediaries to engineered platforms responsible for power distribution, thermal management, high-density interconnects, and signal integrity in the most advanced computing systems. This shift is being driven by AI, high-performance computing (HPC), and next-generation communications, where the need for heterogeneous ... » read more

TCAD-Based AI Models For Modern Fab Workflows


The relentless pace of semiconductor development continues unabated. Despite the slowdown in Moore’s law, feature sizes continue to shrink as new geometries come online. Constant innovations in both fab processes and device design offer new opportunities but present new challenges. As in so many other areas of electronics, artificial intelligence (AI) is starting to play a significant role. ... » read more

AI And Semiconductor In Reciprocity


In today’s rapidly advancing technological era, AI has become a powerful catalyst for innovation and progress. Advanced semiconductor packaging plays a crucial role in supporting AI development, while AI applications create new semiconductor demands and drive the development of semiconductor technologies, with both complementing each other. Semiconductor packaging: The bridge between chip an... » read more

Sustainable AI Systems For Energy-Efficient Computing


By Pushkar Apte, Jim Sexton, and Melissa Grupen-Shemansky The world is abuzz with the new opportunities being created by artificial intelligence (AI), enabled by the availability of unprecedented amounts of data. AI runs on the semiconductor engine, and in turn, creates a rising demand for semiconductor chips. The semiconductor industry is predicted to reach $1 trillion in revenue by 2030 ... » read more

Optimizing Data Movement In SoCs And Advanced Packages


The amount of data that needs to move around a chip is growing exponentially, driven by the rollout of AI and more sensors everywhere. There may be hundreds of IP blocks, more compute elements, and many more wires to contend with. Andy Nightingale, vice president of product management and marketing at Arteris, talks about the demand for low-latency on-chip communication in increasingly complex ... » read more

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