Oral history is about oral sources of witnesses and commentors on historical
events. Speech technology is an important instrument to process such recordings
in order to obtain transcription and further enhancements to structure the oral
account In this contribution we address the transcription portal and the
webservices associated with speech processing at BAS, speech solutions
developed at LINDAT, how to do it yourself with Whisper, remaining challenges,
and future developments.

口述历史是关于历史事件的口头见证人和评论者的口头资料。语音技术是处理这些记录以获得转录和进一步改善口述记述结构的重要工具。本文介绍了 BAS 的转录门户和与语音处理相关的网络服务，LINDAT 开发的语音解决方案，以及使用 Whisper 进行自行操作的方法、存在的挑战和未来发展。

口述历史研究的语音技术服务

Speech Technology Services for Oral History Research

Counterfactual explanations (CEs) are advocated as being ideally suited to
providing algorithmic recourse for subjects affected by the predictions of
machine learning models. While CEs can be beneficial to affected individuals,
recent work has exposed severe issues related to the robustness of
state-of-the-art methods for obtaining CEs. Since a lack of robustness may
compromise the validity of CEs, techniques to mitigate this risk are in order.
In this survey, we review works in the rapidly growing area of robust CEs and
perform an in-depth analysis of the forms of robustness they consider. We also
discuss existing solutions and their limitations, providing a solid foundation
for future developments.

对于机器学习模型的预测结果影响的人来说，反事实解释（CEs）被认为是提供理想算法解决方案的。然而，最近的工作揭示了与获取 CEs 的最新方法相关的严重问题的存在，因此需要采取技术来减轻风险。在这项调查中，我们回顾了快速发展的稳健 CEs 领域的研究，并对其所考虑的稳健性形式进行了深入分析。我们还讨论了现有解决方案及其限制，为未来的发展提供了坚实的基础。

机器学习中的鲁棒反事实解释：一项调查

Robust Counterfactual Explanations in Machine Learning: A Survey

Quantum optimal control, a toolbox for devising and implementing the shapes
of external fields that accomplish given tasks in the operation of a quantum
device in the best way possible, has evolved into one of the cornerstones for
enabling quantum technologies. The last few years have seen a rapid evolution
and expansion of the field. We review here recent progress in our understanding
of the controllability of open quantum systems and in the development and
application of quantum control techniques to quantum technologies. We also
address key challenges and sketch a roadmap for future developments.

本文综述了量子优化控制的最新进展，包括对开放量子系统可控性的理解、量子控制技术在量子技术中的应用、主要挑战以及未来发展路线图。