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Kilobyte-Scale, Selector-Free, Temperature-Hard AlScN Ferroelectric Diode Crossbar Arrays
Zirun Han, Chao-Chuan Chen, Dhiren K. Pradhan, David C. Moore, Ravali Gudavalli, Xindi Yang, Kwan-Ho Kim, Hyunmin Cho, Zachary Anderson, Spencer Ware, Harsh Yellai, W. Joshua Kennedy, Nicholas R. Glavin, Roy H. Olsson III, Deep Jariwala
https://

Kilobyte-Scale, Selector-Free, Temperature-Hard AlScN Ferroelectric Diode Crossbar Arrays
We report the fabrication and characterization of kilobyte-scale, selector-free, ferroelectric (FE) diode crossbar memory arrays based on aluminum scandium nitride (AlScN). Utilizing a fully CMOS back-end-of-line (BEOL) compatible process, we fabricated 2-kilobyte (128 $\times$ 128) arrays with device diameters down to 5 $μ$m, achieving memory densities up to 2500 bits/mm$^2$. Large-scale electrical characterization across 1000 randomly selected devices reveals a yield rate of 95.2%, a tight s…

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
Ioan-Paul Ciobanu, Andrei-Iulian Hiji, Nicolae-Catalin Ristea, Paul Irofti, Cristian Rusu, Radu Tudor Ionescu
https://arxiv.org/abs/2506.00462

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
Recent advances in audio generation led to an increasing number of deepfakes, making the general public more vulnerable to financial scams, identity theft, and misinformation. Audio deepfake detectors promise to alleviate this issue, with many recent studies reporting accuracy rates close to 99%. However, these methods are typically tested in an in-domain setup, where the deepfake samples from the training and test sets are produced by the same generative models. To this end, we introduce XMAD-…

NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution
Marcos V. Conde, Radu Timofte, Zihao Lu, Xiangyu Kongand Xiaoxia Xingand Fan Wangand Suejin Hanand MinKyu Parkand Tianyu Zhangand Xin Luoand Yeda Chenand Dong Liuand Li Pangand Yuhang Yangand Hongzhong Wangand Xiangyong Caoand Ruixuan Jiangand Senyan Xuand Siyuan Jiangand Xueyang Fuand Zheng-Jun Zhaand Tianyu Haoand Yuhong Heand Ruoqi Liand Yueqi Yangand Xiang Yuand Guanlan Hongand Minmin Yiand Yuanjia Chenand Liwen Zha…

NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution
This paper reviews the NTIRE 2025 RAW Image Restoration and Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Restoration and Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem is not as explored as in the RGB domain. The goal of this challenge is two fold, (i) restore RAW images with blur and noise degradations, (ii) upscale RAW Bayer images by 2x, considering unknown noise and blur. In the…