Introduction
In the era of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), the demand for formidable computational resources has reached a fever...
A new technical paper titled “Achieving software-equivalent accuracy for hyperdimensional computing with ferroelectric-based in-memory computing” by researchers at University of Notre Dame, Fraunhofer Institute...
A new technical paper titled “An Artificial Neuron with a Leaky Fin-Shaped Field-Effect Transistor for a Highly Scalable Capacitive Neural Network” was published by...
A new technical paper titled “Exploring Active Learning for Semiconductor Defect Segmentation” was published by researchers at Agency for Science, Technology and Research (A*STAR)...
A new technical paper titled “Achieving the Performance of All-Bank In-DRAM PIM With Standard Memory Interface: Memory-Computation Decoupling” was published by researchers at ...
A new technical paper titled “Hardware implementation of Bayesian network based on two-dimensional memtransistors” from researchers at Penn State University.
“In this work, we demonstrate...
A new technical paper titled “A Thermal Machine Learning Solver For Chip Simulation” was published by researchers at Ansys.
Abstract“Thermal analysis provides deeper insights into...
A new technical paper titled “Self-organization of an inhomogeneous memristive hardware for sequence learning” was just published by researchers at University of Zurich, ETH...
A technical paper titled “Improving automated visual fault inspection for semiconductor manufacturing using a hybrid multistage system of deep neural networks” was published by...
Arm, Intel, and Nvidia proposed a specification for an 8-bit floating point (FP8) format that could provide a common interchangeable format that works for...
Researchers from National Yang Ming Chiao Tung University (Taiwan) published a technical paper titled “A Machine Learning Approach to Modeling Intrinsic Parameter Fluctuation of...
This new technical paper titled “Machine-Learning-Based Compact Modeling for Sub-3-nm-Node Emerging Transistors” was published by researchers at SungKyunKwan University, Korea.
Abstract:“In this paper, we present...
