Renesas Electronics brought out three power management IC reference designs to work with Xilinx's Artix-7 field-programmable gate arrays, Spartan-7 FPGAs and Zynq-7000 system-on-a-chip devices. The reference designs operate with or without DDR memory resources and can be used in computing and industrial applications.
Software-defined hardware, a technology first seen early in the 21st century, is getting another look these days, this analysis notes. Russell James of Imagination Technologies says, "The need for and advent of the hardware accelerator changed this relationship such that now the software programmer needs to be aware of the underlying hardware architecture in order to write efficient software."
Samsung Electronics reports having shipped 1 million DDR4 DRAM modules, with the memory chip fabricated with a 10-nanometer process involving extreme ultraviolet lithography technology. Meanwhile, the Korean company brought out the MUA01 and MUB01 power management ICs for use in true wireless stereo devices.
Semiconductor manufacturers in Europe are contending with whether they should continue production as many of their customers have shut down their factories, this analysis notes. Alexis Breton of STMicroelectronics says, "After generalizing remote working, the company is adapting to the evolution of the situation to continue to preserve the health and safety of staff present on premises."
Researchers at the UK's University of Leeds report developing a spin capacitor, taking advantage of the spin states in electrons. This technology promises to provide electronics that require less power while generating less heat, they say.
University of Illinois at Urbana-Champaign researchers say they wrinkled graphene sheets for use in biosensing applications. The crumpled graphene is especially promising as a sensor for detecting and treating cancer, it was said.
Super Micro Computer brought out validated NGC-Ready systems, meant for accelerating artificial intelligence and deep learning applications. Customers can use Nvidia's V100 Tensor Core graphics processing units to train AI models and Nvidia T4 Tensor Core GPUs for inference tasks.
Four experts talk about challenges and issues presented in using machine learning for semiconductor manufacturing in this roundtable interview. "Deep learning is very efficient at finding hidden correlations within the data," says Romain Roux of Mycronic.
Samsung Electronics ranked third last year in the worldwide mobile application processor market with a share of 14.1%, a gain of 2.2% from a year earlier, while Apple's share shrank 0.5% to 13.1%; Qualcomm and MediaTek still led in mobile APs during 2019, with shares of 33.4% and 24.6% respectively, Counterpoint Research estimates. Meanwhile,
The top 10 foundries took in more than $18 billion in revenue during the first quarter of this year, a 31.5% increase from $13.74 billion a year earlier, TrendForce estimates. Taiwan Semiconductor Manufacturing Co. continues to lead the foundry segment with $10.2 billion in Q1 revenue, according to the market research firm.