tag: Queen’s University Belfast

Chip Industry Week In Review
By The SE Staff - 09 Aug, 2024 - Comments: 0

Three Fraunhofer Institutes (IIS/EAS, IZM, and ENAS) launched the Chiplet Center of Excellence, a research initiative to support the commercial introduction of chiplet technology. The center initially will focus on automotive electronics, developing workflows and methods for electronics design, demonstrator construction, and the evaluation of reliability. The UCIe Consortium published the Un... » read more

Chip Industry Week In Review
By The SE Staff - 12 Jan, 2024 - Comments: 0

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

Week In Review: Design, Low Power
By Marie C. Baca - 06 Jan, 2023 - Comments: 0

Top Of The News Google announced it will support the RISC-V architecture with the Android open-source operating system. In a keynote at the RISC-V Summit, Lars Bergstrom, Google's director of engineering for the Android Platform Programming Languages, noted that Android currently has more than 3 billion users and the support of more than 24,000 vendors. "We've been following RISC-V for a very ... » read more

Research Bits: May 9
By Jesse Allen - 09 May, 2022 - Comments: 0

Optical oscilloscope Researchers from the University of Central Florida developed an optical oscilloscope to measure the electric field of light. The high speed at which light oscillates has made reading its electric field challenging, with current instruments able to resolve an average signal associated with a pulse of light rather than individual peaks and valleys within the pulse. “... » read more

Power/Performance Bits: Jan. 26
By Jesse Allen - 26 Jan, 2021 - Comments: 0

Neural networks on MCUs Researchers at MIT are working to bring neural networks to Internet of Things devices. The team's MCUNet is a system that designs compact neural networks for deep learning on microcontrollers with limited memory and processing power. MCUNet is made up of two components. One is TinyEngine, an inference engine that directs resource management. TinyEngine is optimized t... » read more

Revealing DRAM Operating GuardBands through Workload-Aware Error Predictive Modeling
By Technical Paper Link - 15 Dec, 2020 - Comments: 0

Abstract Abstract—Improving the energy efficiency of DRAMs becomes very challenging due to the growing demand for storage capacity and failures induced by the manufacturing process. To protect against failures, vendors adopt conservative margins in the refresh period and supply voltage. Previously, it was shown that these margins are too pessimistic and will become impractical due to high ... » read more

System Bits: Jan. 14
By Jeff Dorsch - 14 Jan, 2019 - Comments: 0

Integrated photonics platform Researchers at Harvard’s John A. Paulson School of Engineering and Applied Sciences came up with an integrated photonics platform capable of storing light and electrically controlling its frequency or color through a microchip. Mian Zhang, first author of the resulting paper, says, “Many quantum photonic and classical optics applications require shifting of op... » read more

The Week In Review: IoT
By Jeff Dorsch - 21 Jul, 2017 - Comments: 0

Finance Particle, the provider of a full-stack Internet of Things device platform for enterprises, has raised $20 million in Series B funding, bringing its total venture funding to $30 million. Spark Capital led the new round, with participation by Qualcomm Ventures and existing investors in the IoT startup. Machina Research estimates cellular IoT connections will increase from 334 million in ... » read more

Power/Performance Bits: June 27
By Jesse Allen - 27 Jun, 2017 - Comments: 0

Superconducting nanowire memory cell Researchers at the University of Illinois at Urbana-Champaign and the State University of New York at Stony Brook developed a new nanoscale memory cell that provides stable memory at a smaller size than other proposed memory devices, and holds promise for successful integration with superconducting processors. The device comprises two superconducting nan... » read more

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