Cu/SiO₂ Hybrid Bond Interconnects


Technical paper titled "Microstructure Development of Cu/SiO₂ Hybrid Bond Interconnects After Reliability Tests" from researchers at TU Dresden and others. Abstract: "The focus of this study is a detailed characterization of hybrid Cu/SiO 2 wafer-to-wafer bonding interconnects after reliability testing. Hybrid bonding (or direct bond interconnect) is a technology of choice for fine pitch... » read more

Deep Learning Applications For Material Sciences: Methods, Recent Developments


New technical paper titled "Recent advances and applications of deep learning methods in materials science" from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon University, Northwestern University, and Columbia University. Abstract "Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning... » read more

Compact and Tunable Electro-Optic Modulator for Free Space Applications Modulating Light at Gigahertz Speed


New research paper titled "Gigahertz free-space electro-optic modulators based on Mie resonances" from researchers at Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), in collaboration with researchers at the department of Chemistry at the University of Washington. Partial Abstract "Electro-optic modulators are essential for sensing, metrology and telecommunicatio... » read more

Simulation Framework to Evaluate the Feasibility of Large-scale DNNs based on CIM Architecture & Analog NVM


Technical paper titled "Accuracy and Resiliency of Analog Compute-in-Memory Inference Engines" from researchers at UCLA. Abstract "Recently, analog compute-in-memory (CIM) architectures based on emerging analog non-volatile memory (NVM) technologies have been explored for deep neural networks (DNNs) to improve scalability, speed, and energy efficiency. Such architectures, however, leverage ... » read more

Week in Review: Manufacturing, Test


Breaking the Logjam The U.S. government’s delay in funding strategic chip capacity is threatening supply chains that are critical to national security. In fact, classified meetings are being held this week on the subject. Meanwhile, recognizing that time is of the essence, a group of billionaires has backed the “America’s Frontier Fund,” a non-profit group that aims to spur U.S. chipma... » read more

Week In Review: Design, Low Power


Edge, embedded, IoT Renesas Electronics will acquire Reality Analytics, Inc. (Reality AI), a provider of embedded AI and TinyML solutions for advanced non-visual sensing in automotive, industrial, and commercial products. The inference-based AI solutions can be implemented across various endpoint AI applications. “Customers are increasingly demanding highly customized solutions involving emb... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility Lightyear, an automotive company based in the Netherlands, announced its solar car, the Lightyear 0, which goes into production this year. The car has a Worldwide Harmonised Light Vehicle Test Procedure (WLTP) range of 625 kilometers/388 miles and can charge itself while driving or parked, using double curved solar arrays on its roof. The daily charging adds 70 kilometers/... » read more

Can Analog Make A Comeback?


We live in an analog world dominated by digital processing, but that could change. Domain specificity, and the desire for greater levels of optimization, may provide analog compute with some significant advantages — and the possibility of a comeback. For the last four decades, the advantages of digital scaling and flexibility have pushed the dividing line between analog and digital closer ... » read more

Active Learning: Integrating Natural Intelligence Into Artificial Intelligence


Today, very few people would likely deny the fact that data can present major added value for companies. But analyzing data from production processes reveals the incompleteness of data collection and the associated reduced potential of the data that can be leveraged. Typical shortcomings include: Incomplete representation of processes in the dataspace, Inadequate connection of processes... » read more

Emulation-Centric Power Analysis Of SoC Designs


Verification expert Lauro Rizzatti recently interviewed Jean-Marie Brunet, senior marketing director, Scalable Verification Solutions Division (SVSD), Siemens EDA, about the importance of accurate power estimation and optimization for system-on-chip (SoC) designs. What is the problem facing the semiconductor industry today regarding pre-silicon power estimation? The problem is the discrep... » read more

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