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#JulianAssange
https://www.derbund.ch/letzte-chance-fuer-julian-assange-wikileaks-gruender-kaempft-gegen-auslief…

Letzte Chance für Julian Assange: Wikileaks-Gründer kämpft gegen Auslieferung
Julian Assange sieht sich mit der letzten juristischen Hürde in Grossbritannien konfrontiert. Seine Anwälte kämpfen in London darum, eine Überstellung in die USA zu verhindern. Der High Court will um 11.30 Uhr MEZ sein schriftliches Urteil veröffentlichen.

Nobelpreisträger für mehr Hilfen für die Ukraine
Zahlreiche Nobelpreisträgerinnen und -träger, darunter die Autorinnen Elfriede Jelinek und Herta Müller, haben per offenem Brief mehr Entschlossenheit im Auftreten gegenüber Russland gefordert. Das auf Englisch verfasste Schreiben trägt den Titel "No more tolerance to Putin’s regime!"
Gerichtet an jene mit internationalem Einfluss wird unter anderem gefordert, die Unterstützung…
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Liveblog: ++ Nobelpreisträger fordern mehr Ukraine-Hilfe ++
Per offenem Brief warnen 39 Nobelpreisträger Staats- und Regierungschefs: Putins Regime stelle "eine Bedrohung für die Menschheit" dar. Ukrainische Behörden melden Angriffe auf Charkiw. Die Entwicklungen vom Mittwoch zum Nachlesen.

Supercompiler Code Optimization with Zero-Shot Reinforcement Learning
Jialong Wu, Chaoyi Deng, Jianmin Wang, Mingsheng Long
https://arxiv.org/abs/2404.16077

Supercompiler Code Optimization with Zero-Shot Reinforcement Learning
Effective code optimization in compilers plays a central role in computer and software engineering. While compilers can be made to automatically search the optimization space without the need for user interventions, this is not a standard practice since the search is slow and cumbersome. Here we present CodeZero, an artificial intelligence agent trained extensively on large data to produce effective optimization strategies instantly for each program in a single trial of the agent. To overcome t…

Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems
Yiran Guo, Wei Chen, Jialong Xu, Lun Li, Bo Ai
https://arxiv.org/abs/2404.16289 https…

Deep Joint CSI Feedback and Multiuser Precoding for MIMO OFDM Systems
The design of precoding plays a crucial role in achieving a high downlink sum-rate in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In this correspondence, we propose a deep learning based joint CSI feedback and multiuser precoding method in frequency division duplex systems, aiming at maximizing the downlink sum-rate performance in an end-to-end manner. Specifically, the eigenvectors of the CSI matrix are compressed using deep joint …

A Sociotechnical Framework For Addressing Stigma and Designing Personalized Digital Health Products
Danielly de Paula, Daniel Juehling, Falk Uebernickel
https://arxiv.org/abs/2403.17843

A Sociotechnical Framework For Addressing Stigma and Designing Personalized Digital Health Products
Stigma, a recognized global barrier to effective disease management, impacts social interactions, resource access, and psychological well-being. In this study, we developed a patient-centered framework for deriving design requirements and interventions for health conditions subject to social stigma. This study introduces a patient-centered framework, grounded in sociotechnical systems theory, to create tailored interventions and design requirements for health conditions influenced by social sti…

LLM-Enhanced Causal Discovery in Temporal Domain from Interventional Data
Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenweu Zhu
https://arxiv.org/abs/2404.14786

LLM-Enhanced Causal Discovery in Temporal Domain from Interventional Data
In the field of Artificial Intelligence for Information Technology Operations, causal discovery is pivotal for operation and maintenance of graph construction, facilitating downstream industrial tasks such as root cause analysis. Temporal causal discovery, as an emerging method, aims to identify temporal causal relationships between variables directly from observations by utilizing interventional data. However, existing methods mainly focus on synthetic datasets with heavy reliance on intervent…