Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

The team adapted an existing deep-learning algorithm known as a convolutional variational autoencoder (CVAE), which automatically extracted relevant information about protein folding ...

LAGUNA HILLS, Calif., September 18, 2024--BrainChip Introduces aTENNuate in New Technical Paper ...

Diego Fiori, CTO at Nebuly, implemented Hinton's FF algorithm and discussed his results on Twitter: Hinton’s paper proposed 2 different Forward-Forward algorithms, which I called Base and Recurrent.

Training algorithm breaks barriers to deep physical neural networks. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 12 / 231207161444.htm.

Recently, Shaila Niazi, a third-year doctoral student in Çamsari’s lab, achieved a significant breakthrough in that effort, becoming the first to use probabilistic hardware to train a deep generative ...

The external validation analysis showed the algorithm discriminated postoperative mortality with AUCs of 0.75 (95% CI, 0.74-0.76) in the SHC and 0.79 (95% CI, 0.75-0.83) in the CUMC cohort, with ...

More information: Hosny A et al. Clinical Validation of Deep Learning Algorithms for Lung Cancer Radiotherapy Targeting, The Lancet Digital Health (2022). DOI: 10.1016/S2589-7500(22)00129-7 ...