Tootfinder

"IEA warns global solar growth may plateau at 540 GW annually to 2035"
#SolarPower #Energy #Renewables

IEA warns global solar growth may plateau at 540 GW annually to 2035
The International Energy Agency (IEA) said global solar capacity additions are projected to average 540 GW a year through 2035, as outlined in its World Energy Outlook 2025 report.

Accelerating vRAN and O-RAN with SIMD: Architectural Perspectives and Performance Evaluation
Jaebum Park, Chan-Byoung Chae, Robert W. Heath Jr
https://arxiv.org/abs/2510.07843 h…

Accelerating vRAN and O-RAN with SIMD: Architectural Perspectives and Performance Evaluation
The evolution of radio access networks (RANs) toward virtualization and openness creates new opportunities for flexible, cost-effective, and high-performance deployments. Achieving real-time and energy-efficient baseband processing on commercial off-the-shelf platforms, however, remains a critical challenge. This article explores how single instruction multiple data (SIMD) architectures can accelerate RAN workloads. We first outline why key physical-layer functions, such as channel estimation, …

How to image single isolated atoms by using coherent low-energy electrons
Tatiana Latychevskaia
https://arxiv.org/abs/2509.22586 https://arxiv.org/pdf/2509…

How to image single isolated atoms by using coherent low-energy electrons
Coherent low-energy electrons have been demonstrated as a practical tool for imaging individual macromolecules and two-dimensional (2D) crystals. Low-energy electrons exhibit unique properties: low radiation damage to biological molecules and high sensitivity to the local potentials. In this study, we outline the conditions at which single isolated charge-free atoms can be imaged by low-energy electron holography. A single atom produces an interference pattern consisting of concentric fringes o…

Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
Frederic Kirstein, Sonu Kumar, Terry Ruas, Bela Gipp
https://arxiv.org/abs/2509.15901

Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
Meeting summarization with large language models (LLMs) remains error-prone, often producing outputs with hallucinations, omissions, and irrelevancies. We present FRAME, a modular pipeline that reframes summarization as a semantic enrichment task. FRAME extracts and scores salient facts, organizes them thematically, and uses these to enrich an outline into an abstractive summary. To personalize summaries, we introduce SCOPE, a reason-out-loud protocol that has the model build a reasoning trace …

AI for Sustainable Future Foods
Bianca Datta, Markus J. Buehler, Yvonne Chow, Kristina Gligoric, Dan Jurafsky, David L. Kaplan, Rodrigo Ledesma-Amaro, Giorgia Del Missier, Lisa Neidhardt, Karim Pichara, Benjamin Sanchez-Lengeling, Miek Schlangen, Skyler R. St. Pierre, Ilias Tagkopoulos, Anna Thomas, Nicholas J. Watson, Ellen Kuhl
https://a…

AI for Sustainable Future Foods
Global food systems must deliver nutritious and sustainable foods while sharply reducing environmental impact. Yet, food innovation remains slow, empirical, and fragmented. Artificial intelligence (AI) now offers a transformative path with the potential to link molecular composition to functional performance, bridge chemical structure to sensory outcomes, and accelerate cross-disciplinary innovation across the entire production pipeline. Here we outline AI for Food as an emerging discipline tha…

A Review of Light-Field Imaging in Biomedical Sciences
Ruixuan Zhao, Xuanwen Hua, Woongjae Baek, Zhaoqiang Wang, Shu Jia, Liang Gao
https://arxiv.org/abs/2509.24191 https://

A Review of Light-Field Imaging in Biomedical Sciences
Light-field imaging is an emerging paradigm in biomedical optics, offering the unique ability to capture volumetric information in a single snapshot by encoding both the spatial and angular components of light. Unlike conventional three-dimensional (3D) imaging modalities that rely on mechanical or optical scanning, light-field imaging enables high-speed volumetric acquisition, making it particularly well-suited for capturing rapid biological dynamics. This review outlines the theoretical found…

The InviTE Corpus: Annotating Invectives in Tudor English Texts for Computational Modeling
Sophie Spliethoff, Sanne Hoeken, Silke Schwandt, Sina Zarrie{\ss}, \"Ozge Ala\c{c}am
https://arxiv.org/abs/2509.22345

The InviTE Corpus: Annotating Invectives in Tudor English Texts for Computational Modeling
In this paper, we aim at the application of Natural Language Processing (NLP) techniques to historical research endeavors, particularly addressing the study of religious invectives in the context of the Protestant Reformation in Tudor England. We outline a workflow spanning from raw data, through pre-processing and data selection, to an iterative annotation process. As a result, we introduce the InviTE corpus -- a corpus of almost 2000 Early Modern English (EModE) sentences, which are enriched …