Solving The Last-Mile Delivery Problem


Retailers are deploying robots to cut costs and improve efficiency, opening new opportunities for chipmakers as well as a host of new challenges. Key to this strategy are autonomous roadside delivery robots (ARDRs). Retailers have been facing razor-thin profit margins for years and have turned their sights to increasing operational efficiency to stay competitive. Solving the last-mile delive... » read more

Changes In Memory Design


An explosion of data in automotive, cloud, and AI are altering the fundamentals of memory design. One size no longer fits all, as memory is used for a broader set of applications, from automotive and cloud to consumer devices. Anand Theruvengadam, director of product management at Synopsys, talks about the impact of big data applications on density, memory stacking, and growing concerns about r... » read more

Balancing AI And Engineering Expertise In The Fab


Modeling and simulation are playing increasingly critical roles in chip development due to tighter process specs, shrinking process windows, and fierce competition to bring technologies to market first. Before a new device makes it to high-volume manufacturing, there are countless engineering hours spent on developing the lithography, etching, deposition, CMP, and many other processes, at hi... » read more

New Age Solution For Data Integrity And Authenticity


With the advent of faster processing chips, the rate of data transfer has increased enormously. Be it artificial intelligence (AI), the Internet of Things (IOT), compute intensive analytics, or cloud computing, the demand for processing data in a fraction of a second is huge. Chips with superfast computing capabilities are used in applications where malfunctions can be life threatening, such as... » read more

Not All There: Heterogeneous Multiprocessor Design Tools


The design, implementation, and programming of multicore heterogeneous systems is becoming more common, often driven by the software workloads, but the tooling to help optimize the processors, interconnect, and memory are disjointed. Over the past few years, many tools have emerged that help with the definition and implementation of a single processor, optimized for a given set of software. ... » read more

Improving Performance Of Artificial Intelligence And Quantum Computers


A technical paper titled “Gate-tunable superconducting diode effect in a three-terminal Josephson device” was published by researchers at University of Minnesota, University of California Santa Barbara, and Stanford University. Abstract: "The phenomenon of non-reciprocal critical current in a Josephson device, termed the Josephson diode effect, has garnered much recent interest. Realizati... » read more

A Buyers Guide To An NPU


Choosing the right AI inference NPU (Neural Processing Unit) is a critical decision for a chip architect. There’s a lot at stake because as the AI landscape constantly changes, the choices will impact overall product cost, performance, and long-term viability. There are myriad options regarding system architecture and IP suppliers, and this can be daunting for even the most seasoned semicondu... » read more

Revolutionizing Product Development And User Experience: The Transformative Power Of Generative AI


Generative AI has become a prominent and versatile solution across various domains, including chip and system development. Its progress and impact have outpaced many other technological advancements, significantly benefiting numerous areas. In the semiconductor industry, EDA tools with generative AI have already established their position by offering unparalleled optimization capabilities. Thes... » read more

(Vision) Transformers: Rise Of The Chimera


It’s 2023 and transformers are having a moment. No, I’m not talking about the latest installment of the Transformers movie franchise, "Transformers: Rise of the Beasts"; I’m talking about the deep learning model architecture class, transformers, that is fueling anticipation, excitement, fear, and investment in AI. Transformers are not so new in the world of AI anymore; they were first ... » read more

Week In Review: Semiconductor Manufacturing, Test


Applied Materials sued its Chinese-owned rival, Mattson, over an alleged 14-month effort to steal valuable trade secrets, reports Bloomberg. In court filing, Applied Materials claimed that Mattson engaged in a spree of employee-poaching and covertly transferring semiconductor equipment designs. Global semiconductor materials revenue grew 8.9% to $72.7 billion in 2022, surpassing the previous... » read more

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