Artificial Intelligence Wonderland


Silicon Catalyst held its Sixth Annual Semiconductor Forum in Menlo Park on the SRI campus on November 9th. Richard Curtin, Managing Partner for Si Catalyst, opened the event with a reference to Arthur C. Clarke’s "2001: A Space Odyssey" and noted how remarkable it was that a novel written back in 1968 was able to foretell the direction of the computer industry over 50 years into the future. ... » read more

SoC Integration And Data Transport Architecture Requirements Surge In 2023


As the holiday season is in full swing, it's retrospection and prediction time! Let's look at what I thought 2023 would look like, review how it turned out, and take a first stab at 2024 predictions. As a spoiler, my biggest surprise was the intensity with which artificial intelligence and machine learning (AI/ML) accelerated since Generative AI was put on the mainstream adoption map last year,... » read more

Building Tomorrow’s Electronics Piece By Piece


The semiconductor landscape is undergoing a seismic shift as the demand for more powerful and energy-efficient electronic devices reaches new heights. In a recent panel discussion at CadenceLIVE Europe, featuring luminaries such as Kevork Kechichian from Arm, Paul Cunningham from Cadence, Norbert Schuhmann from Fraunhofer, Trent Uehling from NXP, Davide Rossi from the University of Bologna, an... » read more

Unlocking The Power Of Edge Computing With Large Language Models


In recent years, Large Language Models (LLMs) have revolutionized the field of artificial intelligence, transforming how we interact with devices and the possibilities of what machines can achieve. These models have demonstrated remarkable natural language understanding and generation abilities, making them indispensable for various applications. However, LLMs are incredibly resource-intensi... » read more

The Limits Of AI-Generated Models


In several recent stories, the subject of models has come up, and one recurrent theme is that AI may be able to help us generate models of a required abstraction. While this may be true in some cases, it is very dangerous in others. If we generalize, AI should be good for any model where the results are predominantly continuous, but discontinuities create problems. Unless those are found and... » read more

Ensuring The Health And Reliability Of Multi-Die Systems


From generative AI tools that rapidly produce chatbot responses to high-performance computing (HPC) applications enabling financial forecasting and weather modeling, it’s clear we’re in a whole new realm of processing power demand. Given these compute-intensive workloads, monolithic SoCs are no longer capable to meet today’s processing needs. Engineering ingenuity, however, has answered t... » read more

System-on-Chip Integration Complexity And Hardware/Software Contracts


From the earliest days of my career, when designing chips, I have always navigated the interface between hardware and software for semiconductor design in my roles. My initial chip designs included video and audio encoding and decoding, supporting standards like MPEG and H.261. As acceleration parts of hardware/software systems, these had many Control and Status Registers (CSRs) to program. The... » read more

Leaps in Quantum Computing


There are new computers that are generating some amazing results for solving problems in record time.  You won’t see these computers on the classic Top500 lists though, because they aren’t approaching computing in the same way. Using quantum computing algorithms like Shor’s algorithm for factoring large numbers, quantum computing holds the promise of solving problems that take exponentia... » read more

Causes Of Memory Unsafety


Memory unsafety is a characteristic of many of today’s systems. The root cause of buffer bounds vulnerabilities such as buffer overflows and over-reads is unsafe programming. Major software vendors consistently report memory unsafety problems. For example, the Chromium open-source browser project has stated that 69% of CVEs (Common Vulnerabilities and Exposures) reported relate to memory... » read more

AI For Circuit Design Quality, Productivity, And Advanced-Node Mapping


The future of circuit design, encompassing analog, RF/5G, and custom electronic circuits, is set to be revolutionized by the integration of generative AI tools. These advanced tools will not only enhance the quality of designs and boost designer productivity but also facilitate the mapping of designs from older semiconductor process nodes to more advanced nodes such as 3nm and below. This blog ... » read more

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