CMOS-Based HW Topology For Single-Cycle In-Memory XOR/XNOR Operations


A technical paper titled “CMOS-based Single-Cycle In-Memory XOR/XNOR” was published by researchers at University of Tennessee, University of Virginia, and Oak Ridge National Laboratory (ORNL). Abstract: "Big data applications are on the rise, and so is the number of data centers. The ever-increasing massive data pool needs to be periodically backed up in a secure environment. Moreover, a ... » read more

The Power Of AI To Drive Productivity Gains


Tuberculosis (TB) has been around for at least 9000 years, and people have been trying to find a cure or treatment for hundreds of years, but it remains one of the deadliest infectious diseases in the world, killing more than 1.5 million people per year. Despite all of the motivation and effort, there has been only partial progress in fully eradicating the disease but a company in South Korea, ... » read more

Closing The Performance Gap Between DRAM And AI Processors


As the workhorse of semiconductor memory, DRAM holds a unique place in the industry thanks to its large storage capacity and ability to feed data and program code to the host processor quickly. Lately, this unsung hero of the circuit board has been taking a backseat to its logic counterparts, as a wave of high-performance FPGAs, CPUs, GPUs, TPUs and custom accelerator ASICs emerges to meet t... » read more

What Will That Chip Cost?


In the past, analysts, consultants, and many other experts attempted to estimate the cost of a new chip implemented in the latest process technology. They concluded that by the 3nm node, only a few companies would be able to afford them — and by the time they got into the angstrom range, probably nobody would. Much has changed over the past few process nodes. Increasing numbers of startups... » 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

Chip Industry Week In Review


By Susan Rambo, Karen Heyman, and Liz Allan The Biden-Harris administration designated 31 Tech Hubs across the U.S. this week, focused on industries including autonomous systems, quantum computing, biotechnology, precision medicine, clean energy advancement, and semiconductor manufacturing. The Department of Commerce (DOC) also launched its second Tech Hubs Notice of Funding Opportunity. ... » 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

Anatomy Of A System Simulation


The semiconductor industry has greatly simplified analysis by consolidating around a small number of models and abstractions, but that capability is breaking down both at the implementation level and at the system level. Today, the biggest pressure is coming from the systems industry, where the electronic content is a small fraction of what must be integrated together. Systems companies tend... » 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

Why A DSP Is Indispensable In The New World of AI


Chips being designed today for the automotive, mobile handset, AI-IoT (artificial intelligence - Internet of things), and other AI applications will be fabricated in a year or two, designed into end products that will hit the market in three or more years, and then have a product lifecycle of at least five years. These chips will be used in systems with a large number and various types of senso... » read more

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