Week In Review: Semiconductor Manufacturing, Test


Global semiconductor sales hit $45.5 billion during the month of November 2022, according to SIA’s January announcement. Year-over-year sales increased in November in the Americas (5.2%), Europe (4.5%), and Japan (1.2%), but decreased in Asia Pacific/rest of world (-13.9%) and China (-21.2%). Month-to-month sales were down across all regions. The United States, Mexico and Canada vowed to... » read more

Competing V2V Technologies Emerge, Create Confusion


The battle over vehicle-to-vehicle communications technology has begun, as governments step back to see which of two main competing standards and lots of related technology are best suited for reducing accidents. V2V is an often-discussed wireless communication protocol that enables vehicles to communicate with each other, easing traffic congestion, avoiding accidents, and ultimately improvi... » read more

Week In Review: Design, Low Power


RISC-V The European Union said it will spend the equivalent of $286.5 million on a high performance computing ecosystem based on RISC-V. According to the call for proposals, the aim of the project is to “establish a partnership between the EuroHPC JU and a consortium of industry, research organizations and institutions in HPC to the development of innovative HPC hardware and software technol... » read more

Week In Review: Manufacturing, Test


The more than 1,400 attendees at this week’s IEDM, which celebrated the 75th anniversary of the transistor, were clearly focused on making the next 75 years of semiconductors even more remarkable than the last. Intel, Samsung, TSMC, STMicroelectronics, GlobalFoundries and imec announced breakthrough devices, materials, and even integration approaches. These included: Intel showcased adva... » read more

Blog Review: Dec. 7


Siemens EDA's Harry Foster looks at the continual maturing of FPGA functional verification processes through increasing adoption of various simulation-based and formal verification techniques. Synopsys' Stewart Williams introduces the Scalable Open Architecture for Embedded Edge (SOAFEE) project and how it can make automotive software development, testing, virtual prototyping, and validation... » read more

Week In Review: Semiconductor Manufacturing, Test


With the European Council’s adoption of its negotiating mandate for the European Chips Act, member states and the Czech Presidency of the Council have reached a critical milestone in supporting Europe’s efforts to advance manufacturing and supply of critical components, while bolstering R&D capacities for development of next-generation semiconductor innovations, according to SEMI. Ch... » read more

Challenges And Solutions In Chip Design


Ansys is hosting IDEAS Digital Forum 2022, a no-cost virtual event that brings together industry executives and technical design experts to discuss the latest in EDA for Semiconductors, Electronics, and Photonics. The December 6th on-line event starts with Keynote addresses from Raja Koduri from Intel, Pankaj Kukkal from Qualcomm, and insights into the metaverse from DP Prakash with start-up... » read more

Week In Review: Semiconductor Manufacturing, Test


Chinese memory chip maker YMTC and dozens of other Chinese entities are "at risk" of being added to a trade blacklist as soon as Dec. 6, a U.S. Commerce Department official said in prepared remarks seen by Reuters. SMIC co-CEO Zhao Haijun said on an earnings call that recent export controls from the United States will have an "adverse impact" on the company's production. The U.K. has rule... » 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

Multiexpert Adversarial Regularization For Robust And Data-Efficient Deep Supervised Learning


Deep neural networks (DNNs) can achieve high accuracy when there is abundant training data that has the same distribution as the test data. In practical applications, data deficiency is often a concern. For classification tasks, the lack of enough labeled images in the training set often results in overfitting. Another issue is the mismatch between the training and the test domains, which resul... » read more

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