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Lukashenko regime designates exiled Belarusian opposition body as 'terrorist organization': https://benborges.xyz/2025/07/10/lukashenko-regime-designates-exiled-belarusian.html

Predict and Conquer: Navigating Algorithm Trade-offs with Quantum Design Automation
Simon Thelen, Wolfgang Mauerer
https://arxiv.org/abs/2507.06758 https:/…

Predict and Conquer: Navigating Algorithm Trade-offs with Quantum Design Automation
Combining quantum computers with classical compute power has become a standard means for developing algorithms that are eventually supposed to beat any purely classical alternatives. While in-principle advantages for solution quality or runtime are expected for many approaches, substantial challenges remain: Non-functional properties like runtime or solution quality of many approaches are not fully understood, and need to be explored empirically. This makes it unclear which approach is best sui…

High-Performance Wavelength Division Multiplexers Enabled by Co-Optimized Inverse Design
Sydney Mason, Geun Ho Ahn, Jakob Grzesik, Sungjun Eun, Jelena Vu\v{c}kovi\'c
https://arxiv.org/abs/2509.07233

High-Performance Wavelength Division Multiplexers Enabled by Co-Optimized Inverse Design
Wavelength division multiplexers are fundamental to the functioning and performance of integrated photonic circuits, with applications ranging from optical interconnects to sensing and quantum technologies. Current solutions are limited by trade-offs between channel spacing, crosstalk, insertion loss, and device footprint. Here, we develop a novel design approach that co-optimizes inverse-designed wavelength division multiplexers and distributed Bragg gratings to achieve ultra-low crosstalk wit…

The Consequences of Rubin Observatory Time-Domain Survey Design and Host-Galaxy Contamination on the Identification of Binary Supermassive Black Holes
Megan C. Davis, Jonathan R. Trump, Maria Charisi, Jessie C. Runnoe, W. N. Brandt, Kaylee E. Grace, London E. Willson
https://arxiv.org/abs/2508.05742

The Consequences of Rubin Observatory Time-Domain Survey Design and Host-Galaxy Contamination on the Identification of Binary Supermassive Black Holes
Binary supermassive black holes (SMBHs) are consequences of galaxy mergers and dominate the low-frequency gravitational wave background. Finding binary SMBHs in existing time-domain observations has proven difficult, as their periodic, electromagnetic signals can be confused with the natural variability of single quasars. In this work, we investigate the effects of host-galaxy contamination and survey design (cadence and duration) on the detectability of binary SMBHs with the upcoming Rubin Obs…

A Study on Messaging Trade-offs in Data Streaming for Scientific Workflows
Anjus George, Michael J. Brim, Christopher Zimmer, Tyler J. Skluzacek, A. J. Ruckman, Gustav R. Jansen, Sarp Oral
https://arxiv.org/abs/2509.07199

A Study on Messaging Trade-offs in Data Streaming for Scientific Workflows
Memory-to-memory data streaming is essential for modern scientific workflows that require near real-time data analysis, experimental steering, and informed decision-making during experiment execution. It eliminates the latency bottlenecks associated with file-based transfers to parallel storage, enabling rapid data movement between experimental facilities and HPC systems. These tightly coupled experimental-HPC workflows demand low latency, high throughput, and reliable data delivery to support …

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Position: Intelligent Coding Systems Should Write Programs with Justifications
Xiangzhe Xu, Shiwei Feng, Zian Su, Chengpeng Wang, Xiangyu Zhang
https://arxiv.org/abs/2508.06017 …

Position: Intelligent Coding Systems Should Write Programs with Justifications
Intelligent coding systems are transforming software development by enabling users to specify code behavior in natural language. However, the opaque decision-making of AI-driven coders raises trust and usability concerns, particularly for non-expert users who cannot inspect low-level implementations. We argue that these systems should not only generate code but also produce clear, consistent justifications that bridge model reasoning and user understanding. To this end, we identify two critical…

Wireless Energy Transfer Beamforming Optimization for Intelligent Transmitting Surface
Osmel Mart\'inez Rosabal, Onel Alcaraz L\'opez, Victoria Dala Pegorara Souto, Richard Demo Souza, Samuel Montejo-S\'anchez, Robert Schober, Hirley Alves
https://arxiv.org/abs/2507.06805

Wireless Energy Transfer Beamforming Optimization for Intelligent Transmitting Surface
Radio frequency (RF) wireless energy transfer (WET) is a promising technology for powering the growing ecosystem of Internet of Things (IoT) devices using power beacons (PBs). Recent research focuses on designing efficient PB architectures that can support numerous antennas. In this context, PBs equipped with intelligent surfaces present a promising approach, enabling physically large, reconfigurable arrays. Motivated by these advantages, this work aims to minimize the power consumption of a PB…

Snowpark: Performant, Secure, User-Friendly Data Engineering and AI/ML Next To Your Data
Brandon Baker, Elliott Brossard, Chenwei Xie, Zihao Ye, Deen Liu, Yijun Xie, Arthur Zwiegincew, Nitya Kumar Sharma, Gaurav Jain, Eugene Retunsky, Mike Halcrow, Derek Denny-Brown, Istvan Cseri, Tyler Akidau, Yuxiong He
https://arxiv.org/abs/2508.05904…

Snowpark: Performant, Secure, User-Friendly Data Engineering and AI/ML Next To Your Data
Snowflake revolutionized data analytics with an elastic architecture that decouples compute and storage, enabling scalable solutions supporting data architectures like data lake, data warehouse, data lakehouse, and data mesh. Building on this foundation, Snowflake has advanced its AI Data Cloud vision by introducing Snowpark, a managed turnkey solution that supports data engineering and AI and ML workloads using Python and other programming languages. This paper outlines Snowpark's design obj…