Chip Industry Week in Review


The Biden-Harris Administration announced preliminary terms with HP for $50 million in direct funding under the CHIPs and Science Act to support the expansion and modernization of HP’s existing microfluidics and microelectromechanical systems (“MEMS”) facility in Corvallis, Oregon. CHIPS for America launched the CHIPS Metrology Community, a collaborative initiative designed to advance ... » read more

Chip Industry Week In Review


SK hynix and TSMC plan to collaborate on HBM4 development and next-generation packaging technology, with plans to mass produce HBM4 chips in 2026. The agreement is an early indicator for just how competitive, and potentially lucrative, the HBM market is becoming. SK hynix said the collaboration will enable breakthroughs in memory performance with increased density of the memory controller at t... » read more

Week In Review: Design, Low Power


Synopsys’ board of directors appointed Sassine Ghazi as president and chief executive officer effective on Jan. 1, 2024. Ghazi, who is currently the COO, will succeed Aart de Geus, co-founder, chair, and CEO of Synopsys, who will then become the executive chair of board of directors. IBM Research introduced  an energy-efficient mixed-signal analog AI chip for DNN inferencing and demonstra... » read more

New Method of Comparing Neural Networks (Los Alamos National Lab)


A new research paper titled "If You’ve Trained One You’ve Trained Them All: Inter-Architecture Similarity Increases With Robustness" from researchers at Los Alamos National Laboratory (LANL) and was recently presented at the Conference on Uncertainty in Artificial Intelligence. The team developed a new approach for comparing neural networks and "applied their new metric of network simila... » read more

Technical Paper Roundup: Aug. 30


New technical papers added to Semiconductor Engineering’s library this week. [table id=47 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for... » read more

Training a Quantum Neural Network Requires Only A Small Amount of Data


A new research paper titled "Generalization in quantum machine learning from few training data" was published by researchers at Technical University of Munich, Munich Center for Quantum Science and Technology (MCQST), Caltech, and Los Alamos National Lab. “Many people believe that quantum machine learning will require a lot of data. We have rigorously shown that for many relevant problems,... » read more

Technical Paper Round-Up: April 5


Neuromorphic chips, transistor defect detection, quantum, pellicles, BEV mobile charging, copper wire bonding, LrWPAN, batteries and superconductivity top the past week's technical papers. They also point to a rising level of government investment, and collaborations between schools that historically haven't worked closely together, including one that involves schools on different continents. ... » read more

Absence of Barren Plateaus in Quantum Convolutional Neural Networks


Abstract:  Quantum neural networks (QNNs) have generated excitement around the possibility of efficiently analyzing quantum data. But this excitement has been tempered by the existence of exponentially vanishing gradients, known as barren plateau landscapes, for many QNN architectures. Recently, quantum convolutional neural networks (QCNNs) have been proposed, involving a sequence of convol... » read more

Quantum Random Numbers Future-Proof Encryption


It may be a decade or more before quantum computers become common enough that we'll find out whether "post-quantum cryptography" will stand up to genuine quantum computers. In the meantime, some quantum researchers are peeling off specific functions and turning them into products or companies so that it's possible to take advantage of the potential of quantum computers without actually havin... » read more

System Bits: April 4


Nanodevices for extreme environments in space, on earth Researchers at the Stanford Extreme Environment Microsystems Laboratory (XLab) are on a mission to conquer conditions such as those found on Venus: a hot surface pelted with sulfuric acid rains, 480 degrees C, an atmosphere that would fry today’s electronics. By developing heat-, corrosion- and radiation-resistant electronics, the team ... » read more

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