Chip Industry Week In Review


Applied Materials may scale back or cancel its $4 billion new Silicon Valley R&D facility in light of the U.S. government's recent announcement to reduce funding for construction, modernization, or expansion of semiconductor research and development (R&D) facilities in the United States, according to the San Francisco Chronicle. TSMC could receive up to $6.6 billion in direct funding... » read more

AI Takes Aim At Chip Industry Workforce Training


When all the planned fabs become operational, the semiconductor industry is likely to face a worker shortage of 100,000 each in the U.S. and Europe, and more than 200,000 in Asia-Pacific, according to a McKinsey report. Since the dawn of technology, people have worried that robots, automation, and AI will steal their jobs, but these tools also can be put to use to help fill the chip industry ta... » read more

Strategies For Detecting Sources Of Silent Data Corruption


Engineering teams are wrestling with how to identify the root causes of silent data corruption (SDC) in a timely and cost-effective way, but the solutions are turning out to be broader and more complex than simply fixing a single defect. This is particularly vexing for data center reliability, accessibility and serviceability (RAS) engineering teams, because even the best tools and methodolo... » read more

Chip Industry Week In Review


By Adam Kovac, Karen Heyman, and Liz Allan. India approved the construction of two fabs and a packaging house, for a total investment of about $15.2 billion, according to multiple sources. One fab will be jointly owned by Tata and Taiwan's Powerchip. The second fab will be a joint investment between CG Power, Japan's Renesas Electronics, and Thailand's Stars Microelectronics. Tata will run t... » read more

Why Chiplets Are So Critical In Automotive


Chiplets are gaining renewed attention in the automotive market, where increasing electrification and intense competition are forcing companies to accelerate their design and production schedules. Electrification has lit a fire under some of the biggest and best-known carmakers, which are struggling to remain competitive in the face of very short market windows and constantly changing requir... » read more

EDA Back On Investors’ Radar


EDA is transforming from a staid but strategic sector into a hot investment market, fueled by strong earnings and growth, a clamoring for leading-edge and increasingly customized designs across new and existing markets, and the rollout of advanced technologies such as AI for a range of tools that will be needed to develop new architectures with much greater performance per watt. A confluence... » read more

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan Renesas will acquire Transphorm, which designs and manufactures gallium nitride power devices, for about $339 million. GaN, which is a wide-bandgap technology, is used for high-voltage applications in a slew of markets, including EVs and EV fast chargers, as well as data centers and industrial applications. Cadence acquired Invecas, a provider o... » read more

Chip Industry Week In Review


By Jesse Allen, Karen Heyman, and Liz Allan AMD took the covers off new AI accelerators for training and inferencing of large language model and high-performance computing workloads. In its announcement, AMD focused heavily on performance leadership in the commercial AI processor space through a combination of architectural changes, better software efficiency, along with some improvements in... » read more

Chip Industry’s Technical Paper Roundup: Dec 5


New technical papers recently added to Semiconductor Engineering’s library: [table id=171 /] More ReadingTechnical Paper Library home » read more

Chiplets For Generative AI Workloads: Challenges in both HW and SW


A new technical paper titled "Challenges and Opportunities to Enable Large-Scale Computing via Heterogeneous Chiplets" was published by researchers at University of Pittsburgh, Lightelligence, and Meta. Abstract "Fast-evolving artificial intelligence (AI) algorithms such as large language models have been driving the ever-increasing computing demands in today's data centers. Heterogeneous c... » read more

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