Blog Review: April 5


Synopsys's Gordon Cooper argues that AI transformer models, initially developed for natural language processing such as translation and question answering, are starting to make inroads in the computer vision application landscape and changing the direction of deep-learning architectures. Siemens' Patrick Hope shows how to identify opportunities to optimize a PCB design through the creation o... » read more

Week In Review: Semiconductor Manufacturing, Test


The U.S. Commerce Department outlined proposed rules for the Chips for America Incentives Program, including additional details on national security measures applicable to the CHIPS Incentives Program included in the CHIPS and Science Act. The rules limit funding recipients from investing in the expansion of semiconductor manufacturing in foreign countries of concern, notably the People’s Rep... » read more

Week In Review: Design, Low Power


Synopsys rolled out an AI-driven design suite called Synopsys.ai at the Synopsys User Group conference this week, which it says reduces time to better results at multiple points in the design flow. The company noted the new technology uses reinforcement learning, which compensates for relatively small data sets by allowing engineers to interact with that data more easily at any point, and to ch... » read more

Options Widen For Optimizing IoT Designs


Creating a successful IoT design requires a deep understanding of the use cases, and a long list of tradeoffs among various components and technologies to provide the best solution at the right price point. Maximizing features and functions while minimizing costs is an ongoing balancing act, and the number of choices can be overwhelming. The menu includes SoC selection, OS and software proto... » read more

Week In Review: Manufacturing, Test


TEL announced plans to build a ¥2.2 billion ($168.2 million) production and logistics center at its Tohoku Office to increase capacity. Construction of the 57,000m² facility, which will be used for manufacturing thermal processing and single-wafer deposition systems, is slated to start in spring 2024, and expected to be completed in fall 2025. Toshiba's board voted in favor of a 2 trillio... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility Ford expects to lose $3 billion from EV sales this year, but said that part of the business will begin generating profits soon. The company still expects to hit its overall profit numbers for the year, however. Volvo is making a new electric vehicle (EV) in China and exporting it to Europe and Japan, according to a Nikkei Asia interview. Volvo is owned by Zhejiang Geely... » read more

Week In Review: Design, Low Power


Renesas will acquire Panthronics, a fabless semiconductor company specializing in high-performance wireless products, expanding its reach into near-field communications for financial, IoT, asset tracking, wireless charging, and automotive applications. The two companies already had collaborated on designs for mobile point-of-sale terminals, wireless charging, and smart metering. Renesas also... » read more

The I3C Interface Can Help Improve Performance In Sensor Applications


The I3C interface (officially the “MIPI Alliance Improved Inter Integrated Circuit”) was initially developed by the MIPI Alliance to support sensor interconnect in mobile applications. The MIPI Alliance is a global alliance of electronics companies that develop technical specifications for mobile applications, of which Renesas Electronics is a member. The original concept behind the I3C ... » read more

Renesas / Cyberon Speech Recognition


Traditional voice or speech recognition technology is based on a trained model with specific words or phrases. Natural language processing is word-order independent. This requires large computing power to run the real time data through a neural network. The Cyberon approach is different, allowing the algorithms to run on a small, general purpose MCU. Click here to read more. » read more

Blog Review: March 22


Siemens EDA's Dan Yu warns that the unavailability of verification data is slowing down the development of advanced machine learning for verification, with valuable data assets either siloed among different team members or projects or simply discarded due to the lack of analytic techniques to extract value from them. Synopsys' Richard Solomon and Dana Neustadter point to the need for hardwar... » read more

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