AI Process Control Platform Enabling Next Generation Technology


PAICe Monitor delivers AI and machine learning-enabled analytics for all stages of the semiconductor fabrication process lifecycle — from process development and ramp readiness, to high volume production. Leveraging Tignis’ Digital Twin Query Language, PAICe Monitor enables process engineers to transform in-product fault diagnoses into continuous real-time monitoring—greatly improving ... » read more

Neuromorphic Computing: Graphene-Based Memristors For Future AI Hardware From Fabrication To SNNs


A technical paper titled “A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits” was published by researchers at James Cook University (Australia) and York University (Canada). Abstract: "As data processing volume increases, the limitations of traditional computers and the need for more efficient computing methods become evident. Neuromorphic computing mimics the brain's... » read more

Week In Review: Manufacturing, Test


TSMC, Bosch, Infineon, and NXP will jointly invest in the European Semiconductor Manufacturing Co. (ESMC), in Dresden, Germany, to provide advanced semiconductor manufacturing services. ESMC marks a significant step toward construction of a 300mm fab, which is expected to have a monthly production capacity of 40,000 300mm (12-inch) wafers on TSMC’s 28/22nm planar CMOS and 16/12nm finFET proce... » read more

Processor Tradeoffs For AI Workloads


AI is forcing fundamental shifts in chips used in data centers and in the tools used to design them, but it also is creating gaps between the speed at which that technology advances and the demands from customers. These shifts started gradually, but they have accelerated and multiplied over the past year with the rollout of ChatGPT and other large language models. There is suddenly much more... » read more

Developing Energy-Efficient AI Accelerators For Intelligent Edge Computing And Data Centers


Artificial intelligence (AI) accelerators are deployed in data centers and at the edge to overcome conventional von Neumann bottlenecks by rapidly processing petabytes of information. Even as Moore’s law slows, AI accelerators continue to efficiently enable key applications that many of us increasingly rely on, from ChatGPT and advanced driver assistance systems (ADAS) to smart edge device... » read more

Tradeoffs In DSP Design


More intelligence is now required in the front-, mid-, and back-haul for 5G/6G communication, requiring a mix of high performance, low power, and enough flexibility to accommodate constantly changing protocols and algorithms. One solution to these conflicting goals involves reconfigurable DSPs, in which the processing element is hardwired like an ASIC but still configurable for a variety of app... » read more

Managing Voltage Variation


Engineers make many tradeoffs when designing SoC’s to better meet design specifications. Power, Performance and Area (PPA) are the primary goals and all three impact the cost of the implementation. For example, higher power and performance can both require more expensive packaging for power and signal integrity as well as cooling. The larger the die area the fewer die per wafer which drives u... » read more

Virtualization: A Must-Have For Embedded AI In Automotive SoCs


Virtualization, the process of abstracting physical hardware by creating multiple virtual machines (VMs) with independent operating systems and tasks, has been in computing since the 1960s. Now, with the need to optimize the utilization of large AI and DSP blocks in automotive SoCs, along with the need for increased functional safety in autonomous driving, virtualization is coming to power- an... » read more

AI Transformer Models Enable Machine Vision Object Detection


The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the models and simplify their development. Over the years, many AI models have been introduced, including YOLO, Faster R-CNN, Mask R-CNN, RetinaNet, and others, to detect images or video signals, interp... » read more

Semiconductor Industry Is Pulling AI Across A Diversity Of End Uses And Applications


Earlier this month, I had the pleasure of joining a group of industry peers during SEMICON West and the Design Automation Conference in San Francisco for an enlightening panel discussion that we organized titled, “How AI Is Reinventing the Semiconductor Industry Inside and Out.” Moderated by Gartner, I was joined on the panel by senior executives from Advantest, Synopsys and the TinyML Foun... » read more

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