The Week In Review: Manufacturing

Chipmakers Last year, Analog Devices Inc. (ADI) completed the acquisition of Linear Technology. Now, ADI plans to shut down one of Linear’s fabs as well as a test operation. “Analog Devices plans to close the smallest of its four wafer fabs, which was acquired as part of its March 2017 acquisition of Linear Technology and is located at Hillview Drive in Milpitas, California. This clo... » read more

The Week in Review: IoT

Finance Vectra raised $36 million in Series D funding led by Atlantic Bridge Capital. The Ireland Strategic Investment Fund and Nissho Electronics also participated in this funding round along with returning investors Khosla Ventures, Accel Partners, IA Ventures, AME Cloud Ventures, DAG Ventures, and Wipro Ventures, bringing Vectra’s total funding to date to $123 million. Vectra will use the... » read more

FD-SOI Adoption Expands

Fully depleted silicon-on-insulator (FD-SOI) is gaining ground across a number of new markets, ranging from IoT to automotive to machine learning, and diverging sharply from its original position as a less costly alternative to finFET-based designs. For years, [getkc id="220" kc_name="FD-SOI"] has been viewed as an either/or solution targeted at the same markets as bulk [gettech id="31093" c... » read more

Will China Succeed In Memory?

China's fledging memory makers are expected to reach a major milestone and move into initial production this year, although vendors are already running into various roadblocks. China's domestic vendors are focusing on two markets, 3D NAND and DRAM. In both cases local vendors are either behind in technology, struggling to develop these products, or both. And one vendor recently was hit with ... » read more

Ayar Labs: Faster I/O

Startup AyarLabs is using a combination of high-bandwidth fiberoptics, low-cost CMOS fabrication and careful target selection to strike efficiently at the datacenter's worst bottleneck. "Moore's Law only covers the processor, not how we move data in and out of it during processing or how to get the processor and memory working at the same speed," according to Alexandra Wright-Gladstein, co-f... » read more

The Week in Review: IoT

Finance Cincinnati-based Losant, which offers an enterprise Internet of Things platform, reports raising $5.2 million in Series A funding led by CincyTech. The Rise of the Rest Seed Fund, TechNexus, and Vine Street Ventures also participated in the new round. Losant says customers for its scalable IoT platform include Bosch, Hewlett Packard Enterprise, and Verizon Communications. SAM of Tel... » read more

5 Takeaways From ISS 2018

At the recent Industry Strategy Symposium (ISS) in Half Moon Bay, Calif., there were a multitude of presentations on a number of subjects. The event, sponsored by SEMI, had presentations on the outlook for ICs and equipment. As part of the program, ISS also discussed the latest business and technology trends. In no particular order, here are my five takeaways from ISS: Ranging forecasts ... » read more

Transistor Options Beyond 3nm

Despite a slowdown in chip scaling amid soaring costs, the industry continues to search for a new transistor type 5 to 10 years out—particularly for the 2nm and 1nm nodes. Specifically, the industry is pinpointing and narrowing down the transistor options for the next major nodes after 3nm. Those two nodes, called 2.5nm and 1.5nm, are slated to appear in 2027 and 2030, respectively, accord... » read more

The Week in Review: IoT

Finance BroadLink has raised $54.4 million in Series D funding from Citic Private Equity Funds Management. Baidu and Libai Group participated in the new round. BroadLink will use the money to expand its artificial intelligence and Internet of Things units, while also acquiring or investing in companies involved in smart home devices. Aperio Systems of Haifa, Israel, has received $4.5 millio... » read more

Bridging Machine Learning’s Divide

There is a growing divide between those researching [getkc id="305" comment="machine learning"] (ML) in the cloud and those trying to perform inferencing using limited resources and power budgets. Researchers are using the most cost-effective hardware available to them, which happens to be GPUs filled with floating point arithmetic units. But this is an untenable solution for embedded infere... » read more

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