Tootfinder

“Sikh owners, Sikh manager - what Morecambe takeover means to community”
I’ll tell you what it means. It means the half time snacks will be AWESOME. https://www.bbc.co.uk/sport/football/articles/c8ry4v3dv22o

Morecambe takeover: What Panjab Warriors and Ashvir Johal history means for Sikhs
BBC Sport explores the impact of Morecambe's new ownership and manager on the Sikh community, as the National League club enter a new era.

El nuevo disco de Pancho Folk, salido hace unos pocos dias. Esto suena a Musica desde el alma.
«Ay Diosito Santo»
#PanchoFolk

Listening to #InOurTime on the Time Machine, I am asking myself whether #AI #LLM users are choosing to become Eloi, are choosing to let their intellects atrophy, by delegating their creative and critical faculties t…

BBC Radio 4 - In Our Time, The Time Machine (Archive Episode)
Melvyn Bragg and guests discuss the science and ideas in HG Wells' story of time travel.

Fine-grained Image Quality Assessment for Perceptual Image Restoration
Xiangfei Sheng, Xiaofeng Pan, Zhichao Yang, Pengfei Chen, Leida Li
https://arxiv.org/abs/2508.14475 https:…

Fine-grained Image Quality Assessment for Perceptual Image Restoration
Recent years have witnessed remarkable achievements in perceptual image restoration (IR), creating an urgent demand for accurate image quality assessment (IQA), which is essential for both performance comparison and algorithm optimization. Unfortunately, the existing IQA metrics exhibit inherent weakness for IR task, particularly when distinguishing fine-grained quality differences among restored images. To address this dilemma, we contribute the first-of-its-kind fine-grained image quality ass…

Mass evacuations in flood-hit Punjab hit 300,000 following alerts by India https://news.mongabay.com/short-article/2025/09/mass-evacuations-in-flood-hit-punjab-hit-300000-following-alerts-by-india/

Mass evacuations in flood-hit Punjab hit 300,000 following alerts by India
SHER SHAH, Pakistan (AP) — Officials say nearly 300,000 people have been evacuated in the past 48 hours from flood-hit areas of eastern Punjab province, bringing the total number displaced since last month to 1.3 million. Authorities on Wednesday were struggling to divert overflowing rivers onto farmlands to protect major cities, as part of one […]

Model positive and unlabeled data with a generalized additive density ratio model
Peijun Sang, Yifan Sun, Qinglong Tian, Donglin Zeng, Pengfei Li
https://arxiv.org/abs/2508.12446

Model positive and unlabeled data with a generalized additive density ratio model
We address learning from positive and unlabeled (PU) data, a common setting in which only some positives are labeled and the rest are mixed with negatives. Classical exponential tilting models guarantee identifiability by assuming a linear structure, but they can be badly misspecified when relationships are nonlinear. We propose a generalized additive density-ratio framework that retains identifiability while allowing smooth, feature-specific effects. The approach comes with a practical fitting…

Combinatorial optimization enhanced by shallow quantum circuits with 104 superconducting qubits
Xuhao Zhu, Zuoheng Zou, Feitong Jin, Pavel Mosharev, Maolin Luo, Yaozu Wu, Jiachen Chen, Chuanyu Zhang, Yu Gao, Ning Wang, Yiren Zou, Aosai Zhang, Fanhao Shen, Zehang Bao, Zitian Zhu, Jiarun Zhong, Zhengyi Cui, Yihang Han, Yiyang He, Han Wang, Jia-Nan Yang, Yanzhe Wang, Jiayuan Shen, Gongyu Liu, Zixuan Song, Jinfeng Deng, Hang Dong, Pengfei Zhang, Chao Song, Zhen Wang, Hekang Li, Qiujiang Gu…

Combinatorial optimization enhanced by shallow quantum circuits with 104 superconducting qubits
A pivotal task for quantum computing is to speed up solving problems that are both classically intractable and practically valuable. Among these, combinatorial optimization problems have attracted tremendous attention due to their broad applicability and natural fitness to Ising Hamiltonians. Here we propose a quantum sampling strategy, based on which we design an algorithm for accelerating solving the ground states of Ising model, a class of NP-hard problems in combinatorial optimization. The …

EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
Zhen Li, Zijian Zhang, Wenjin Yang, Pengbo Wang, Zhaoqi Wang, Meng Li, Yan Wu, Xuyang Liu, Jing Sun, Liehuang Zhu
https://arxiv.org/abs/2509.12899

EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
Verifiable Secret Sharing (VSS) has been widespread in Distributed Privacy-preserving Machine Learning (DPML), because invalid shares from malicious dealers or participants can be recognized by verifying the commitment of the received shares for honest participants. However, the consistency and the computation and communitation burden of the VSS-based DPML schemes are still two serious challenges. Although Byzantine Fault Tolerance (BFT) system has been brought to guarantee the consistency and …

Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction
Niklas Bubeck, Suprosanna Shit, Chen Chen, Can Zhao, Pengfei Guo, Dong Yang, Georg Zitzlsberger, Daguang Xu, Bernhard Kainz, Daniel Rueckert, Jiazhen Pan
https://arxiv.org/abs/2508.13826

Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction
Cardiac Magnetic Resonance (CMR) imaging is a critical tool for diagnosing and managing cardiovascular disease, yet its utility is often limited by the sparse acquisition of 2D short-axis slices, resulting in incomplete volumetric information. Accurate 3D reconstruction from these sparse slices is essential for comprehensive cardiac assessment, but existing methods face challenges, including reliance on predefined interpolation schemes (e.g., linear or spherical), computational inefficiency, an…

Designing Shadow Tomography Protocols by Natural Language Processing
Yadong Wu, Pengfei Zhang, Ce Wang, Juan Yao, Yi-Zhuang You
https://arxiv.org/abs/2509.12782 https://

Designing Shadow Tomography Protocols by Natural Language Processing
Quantum circuits form a foundational framework in quantum science, enabling the description, analysis, and implementation of quantum computations. However, designing efficient circuits, typically constructed from single- and two-qubit gates, remains a major challenge for specific computational tasks. In this work, we introduce a novel artificial intelligence-driven protocol for quantum circuit design, benchmarked using shadow tomography for efficient quantum state readout. Inspired by technique…