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Study: only 32 countries, mostly in the Northern Hemisphere, host AI data centers, with the US, China, and the EU controlling 50% of the world's top facilities (New York Times)
https://www.nytimes.com…

A.I. Computing Power Is Splitting the World Into Haves and Have-Nots
As countries race to power artificial intelligence, a yawning gap is opening around the world.

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How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
Shamse Tasnim Cynthia, Nuri Almarimi, Banani Roy
https://arxiv.org/abs/2506.15884

How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
Community smells reflect poor organizational practices that often lead to socio-technical issues and the accumulation of Self-Admitted Technical Debt (SATD). While prior studies have explored these problems in general software systems, their interplay in machine learning (ML)-based projects remains largely underexamined. In this study, we investigated the prevalence of community smells and their relationship with SATD in open-source ML projects, analyzing data at the release level. First, we ex…

Multi-partonic interactions, iterated discontinuities and the virtuality expansion in deep inelastic scattering
Zeno Capatti, Lucien Huber, Michael Ruf
https://arxiv.org/abs/2506.16489

Multi-partonic interactions, iterated discontinuities and the virtuality expansion in deep inelastic scattering
We introduce a perturbative model that accounts for the contribution of multi-partonic interactions to collider observables. A key feature of this multi-parton model is that cross sections are organised in terms of building blocks that are separately infrared-finite in virtue of the KLN theorem. We find compact expressions for these building blocks in terms of double discontinuities of Feynman-type integrals obtained by endowing a vacuum graph with additional topological information. The framew…

»One of Mr. Reagan's advisers, David Stockman, later wrote that the real aim of fiscal policy was to create a ›strategic deficit‹ that would slam the door and reduce the size of the federal government.« https://www.nytimes.com/2004/06/07/opinion/ronald-reagan.html

Demand for LNG in Europe dropped by 18 per cent between 2022 and 2024, and Canadian exports would have a hard time competing in Asian markets, says advocacy group Investors for Paris Compliance. “Investing in infrastructure that will be very expensive and likely won’t be profitable will weaken our economy rather than strengthen it,” Renaud Gignac, an economist and senior adviser for the group, said in an interview.

New report casts doubt on potential revival of Quebec LNG project
Reviving a liquefied natural gas export project in Quebec's Saguenay region would be costly and likely unprofitable, a shareholder advocacy group says.

AGE-US: automated gestational age estimation based on fetal ultrasound images
C\'esar D\'iaz-Parga, Marta Nu\~nez-Garcia, Maria J. Carreira, Gabriel Bernardino, Nicol\'as Vila-Blanco
https://arxiv.org/abs/2506.16256

AGE-US: automated gestational age estimation based on fetal ultrasound images
Being born small carries significant health risks, including increased neonatal mortality and a higher likelihood of future cardiac diseases. Accurate estimation of gestational age is critical for monitoring fetal growth, but traditional methods, such as estimation based on the last menstrual period, are in some situations difficult to obtain. While ultrasound-based approaches offer greater reliability, they rely on manual measurements that introduce variability. This study presents an interpre…

SparseDPD: A Sparse Neural Network-based Digital Predistortion FPGA Accelerator for RF Power Amplifier Linearization
Manno Versluis, Yizhuo Wu, Chang Gao
https://arxiv.org/abs/2506.16591

SparseDPD: A Sparse Neural Network-based Digital Predistortion FPGA Accelerator for RF Power Amplifier Linearization
Digital predistortion (DPD) is crucial for linearizing radio frequency (RF) power amplifiers (PAs), improving signal integrity and efficiency in wireless systems. Neural network (NN)-based DPD methods surpass traditional polynomial models but face computational challenges limiting their practical deployment. This paper introduces SparseDPD, an FPGA accelerator employing a spatially sparse phase-normalized time-delay neural network (PNTDNN), optimized through unstructured pruning to reduce compu…

Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election
Ixandra Achitouv, David Chavalarias
https://arxiv.org/abs/2506.16449

Unveiling Political Influence Through Social Media: Network and Causal Dynamics in the 2022 French Presidential Election
During the 2022 French presidential election, we collected daily Twitter messages on key topics posted by political candidates and their close networks. Using a data-driven approach, we analyze interactions among political parties, identifying central topics that shape the landscape of political debate. Moving beyond traditional correlation analyses, we apply a causal inference technique: Convergent Cross Mapping, to uncover directional influences among political communities, revealing how some…

Spectrum Opportunities for the Wireless Future: From Direct-to-Device Satellite Applications to 6G Cellular
Theodore S. Rappaport, Todd E. Humphreys, Shuai Nie
https://arxiv.org/abs/2506.18672

Spectrum Opportunities for the Wireless Future: From Direct-to-Device Satellite Applications to 6G Cellular
For the next-generation wireless networks and beyond, both the upper mid-band (7 GHz-24 GHz) and terahertz (100 GHz-1 THz) spectra are gaining global attention from service providers, academic research groups, policy makers, and standards organizations. This article provides an in-depth analysis of recent regulatory rulings and spectrum preferences issued by international standard bodies such as the International Telecommunications Union and Federal Communications Commission as they seek to ide…