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Week In Review: Design, Low Power


Memory CEA-Leti demonstrated 16-kbit ferroelectric random-access memory (FeRAM) arrays at the 130nm node. It utilizes back-end-of-line (BEOL) integration of TiN/HfO2:Si/TiN ferroelectric capacitors as small as 0.16 µm² and solder reflow compatibility for the first time for this type of memory. The researchers anticipate it will be useful for embedded applications such at IoT and wearable dev... » read more

Blog Review: Dec. 15


Arm's Hannah Peeler, Joshua Randall, and Zach Lasiuk examine the carbon cost of data centers and introduce a tool that allows users to make informed decisions about the carbon impact of their compute workloads. Synopsys' Kenneth Larsen provides a primer on the fundamentals of quantum computing, the role of photonics in building quantum systems, and the future potential impact on chip design.... » read more

Power/Performance Bits: Dec. 14


Improved digital sensing Researchers from Imperial College London and Technical University of Munich propose a technique to improve the capability of many different types of sensors. The method addresses voltage limits in analog-to-digital converters and the saturation that results in poor quality when an incoming signal exceeds those limits. “Our new technique lets us capture a fuller ra... » read more

Week In Review: Design, Low Power


Intel intends to take Mobileye public in mid-2022 on a US market through an IPO of newly issued stock. The subsidiary, which Intel acquired in 2017, develops SoCs for ADAS and autonomous driving solutions. Mobileye has achieved record revenue year-over-year with 2021 gains expected to be more than 40 percent higher than 2020, highlighting the powerful benefits to both companies of our ongoing p... » read more

Blog Review: Dec. 8


Arm's Shidhartha Das introduces a method to achieve fast yet accurate power modelling for both design and runtime power introspection within the same unified framework using machine learning and data science approaches. Synopsys' Mike Borza warns that the semiconductor industry is facing a flood of counterfeit chips and why being aware of different types of semiconductor scams and tackling t... » read more

Power/Performance Bits: Dec. 6


Tunable 2D semiconductors Researchers from the Singapore University of Technology and Design (SUTD), Hengyang Normal University, Nanjing University, National University of Singapore, and Zhejiang University identified a family of 2D semiconductors that could have lower resistance and enable further scaling. “Due to the quantum tunnelling effect, shrinking a silicon-based transistor too sm... » read more

Week In Review: Design, Low Power


Infineon Technologies acquired Syntronixs Asia, which specializes in precision electroplating, a key process in the assembly process of semiconductors. Syntronixs Asia has a workforce of more than 500 people and has been a major service provider for Infineon since 2009. “Through this acquisition, we have made another important step to strengthen the resilience of our supply chain,” said Tho... » read more

Startup Funding: November 2021


There's nothing virtual about the level of interest in AR/VR startups. As the concept of the 'metaverse' becomes more widespread with Nvidia's recent GTC announcements and Facebook's rebranding, investors poured money into startups with enabling technology for augmented, virtual, and extended reality. Most of those are developing waveguides and other display technology that is light enough to b... » read more

Blog Review: Dec. 1


Synopsys' Mike Gianfagna points to three events that created a fundamental shift in product development that has enabled rapid introduction of a wide range of new products. Siemens' Sagi Reuven considers some key challenges facing the supply chain and the impact on electronics manufacturers, from rising shipping costs to shortages of raw materials and transportation labor. Cadence's Frank... » read more

Power/Performance Bits: Nov. 30


Universal decoding algorithm Researchers at MIT, Boston University, and Maynooth University built a silicon chip that is able to decode any error-correcting code, regardless of its structure, with maximum accuracy, using a universal decoding algorithm called Guessing Random Additive Noise Decoding (GRAND). Encoded data traveling over a network is susceptible to noise, which disrupts the sig... » read more

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