The Race To Glass Substrates


The chip industry is racing to develop glass for advanced packaging, setting the stage for one of the biggest shifts in chip materials in decades — and one that will introduce a broad new set of challenges that will take years to fully resolve. Glass has been discussed as a replacement material for silicon and organic substrates for more than a decade, primarily in multi-die packages. But ... » read more

Chip Industry Week In Review


By Liz Allan, Jesse Allen, and Karen Heyman. Canon uncorked a nanoimprint lithography system, which the company said will be useful down to about the 5nm node. Unlike traditional lithography equipment, which projects a pattern onto a resist, nanoimprint directly transfers images onto substrates using a master stamp patterned by an e-beam system. The technology has a number of limitations and... » read more

Week In Review: Auto, Security, Pervasive Computing


Hyundai, Samsung Catalyst Fund, and others invested a combined $100 million in Canada-based Tenstorrent to accelerate the design and development of AI chiplets and machine-learning software and allow the integration of AI into future Hyundai, Kia, and Genesis vehicles, plus other future mobilities such as robotics and advanced air mobility (AAM). The National Highway Traffic Safety Administr... » read more

Deep Learning (DL) Applications In Photomask To Wafer Semiconductor Manufacturing


Published by the eBeam Initiative Member Companies (February 2023), this list of artificial intelligence (AI) systems used by member companies in their semiconductor manufacturing products shows progress. New examples of systems using AI include: image processing and parameter tuning in lithography tool mask metrology system B-SPline Control Point generation tool sem... » read more

Where All The Semiconductor Investments Are Going


Companies and countries are funneling huge sums of money into semiconductor manufacturing, materials, and research — at least a half-trillion dollars over the next decade, and maybe much more — to guarantee a steady supply of chips and know-how to support growth across a wide swath of increasingly data-centric industries. The build-out of a duplicate supply chain that can guarantee capac... » read more

Week In Review: Semiconductor Manufacturing, Test


Fallout from the new U.S. export controls continues. Under new regulations, companies looking to supply Chinese chipmakers with advanced manufacturing equipment (<14nm) must first obtain a license from the U.S. Department of Commerce. In addition, U.S. persons (citizens and permanent residents) are barred from supporting China’s advanced chip development or production without a license. ... » read more

How Quickly Can SiC Ramp?


Device makers across the globe are ramping silicon carbide (SiC) manufacturing, with growth set to really take off starting in 2024. It’s been almost five years since Tesla and STMicroelectronics threw down the gauntlet with SiC in the Model 3. Now, no one doubts the market pull for electric vehicles, but consumers are still clamoring for better range and faster charging. SiC devices are a... » read more

Week In Review: Design, Low Power


IP, design Arm unveiled a number of new CPUs and GPUs. Based on the Armv9 architecture, the Cortex-X3 aims to improve single-threaded performance and targets a range of benchmarks and applications. The Cortex-A715 focuses on efficient performance, delivering a 20% energy efficiency gain and 5% performance uplift compared to Cortex-A710. In addition, the Cortex-A510 and DSU-110 were updated to ... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility The Lancet’s Road Safety 2022 report estimates that 1.35 million people die every year from road traffic injuries, with more than 50 million injured or disabled. Low-income and middle-income countries (LMICs) have the most deaths, accounting for 93% of the world's fatalities on roads. The four main risk factors for road injuries are speeding, impaired driving (drunk driv... » read more

Survey: 2022 Deep Learning Applications


The 2022 member list of deep learning projects and products that eBeam members are working on in photomask to wafer semiconductor manufacturing. Participating companies include Advantest, ASML, Canon, CEA-LETI, D2S, Fraunhofer IPMS, Hitachi High-Tech Corporation, imec, NuFlare Technology, Siemens Industries Software, Inc.; Siemens EDA, STMicroelectronics, and TASMIT. Click here to see the su... » read more

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