Tootfinder

I took a video of some AI agents coding (ridiculously fast scrolling as it refactored and tidied up my entire app) and put it on #loops - yes the code works fine, and it’s in Swift which I don’t know, but I’m having fun building an iOS app for my own amusement. The music I was playing - Hunger Strike by Estradasphere goes well with it

Watch @adrianco's loop on Loops.video
Agent swarm programm... • 1 likes • 0 comments

ChartBlender: An Interactive System for Authoring and Synchronizing Visualization Charts in Video
Yi He, Yuqi Liu, Chenpu Li, Ruoyan Chen, Chuer Chen, Shengqi Dang, Nan Cao
https://arxiv.org/abs/2506.13129

ChartBlender: An Interactive System for Authoring and Synchronizing Visualization Charts in Video
Embedding data visualizations in video can enhance the communication of complex information. However, this process is often labor-intensive, requiring designers to adjust visualizations frame by frame manually. In this work, we present ChartBlender, a novel system that streamlines this process by enabling users to create data visualizations, embed them seamlessly into video scenes, and automatically synchronize them with both camera motion and moving objects. Particularly, ChartBlender incorpor…

Active View Selector: Fast and Accurate Active View Selection with Cross Reference Image Quality Assessment
Zirui Wang, Yash Bhalgat, Ruining Li, Victor Adrian Prisacariu
https://arxiv.org/abs/2506.19844

Active View Selector: Fast and Accurate Active View Selection with Cross Reference Image Quality Assessment
We tackle active view selection in novel view synthesis and 3D reconstruction. Existing methods like FisheRF and ActiveNeRF select the next best view by minimizing uncertainty or maximizing information gain in 3D, but they require specialized designs for different 3D representations and involve complex modelling in 3D space. Instead, we reframe this as a 2D image quality assessment (IQA) task, selecting views where current renderings have the lowest quality. Since ground-truth images for candid…

Large-Scale Simulations of Turbulent Flows using Lattice Boltzmann Methods on Heterogeneous High Performance Computers
Adrian Kummerl\"ander, Fedor Bukreev, Yuji Shimojima, Shota Ito, Mathias J. Krause
https://arxiv.org/abs/2506.21804

Large-Scale Simulations of Turbulent Flows using Lattice Boltzmann Methods on Heterogeneous High Performance Computers
Current GPU-accelerated supercomputers promise to enable large-scale simulations of turbulent flows. Lattice Boltzmann Methods (LBM) are particularly well-suited to fulfilling this promise due to their intrinsic compatibility with highly parallel execution on both SIMD CPUs and GPUs. A novel LBM scheme for wall-modeled LES in complex geometries is described with a special focus on the efficient implementation in the open source LBM framework OpenLB. Detailed scalability results are provided for…

The impact of process steps on nearly ideal subthreshold slope in 300-mm compatible InGaZnO TFT
Hongwei Tang, Dennis Lin, Subhali Subhechha, Adrian Chasin, Daisuke Matsubayashi, Michiel van Setten, Yiqun Wan, Harold Dekkers, Jie Li, Shruthi Subramanian, Zhuo Chen, Nouredine Rassoul, Yuchao Jiang, Jan Van Houdt, Valeri Afanas`ev, Gouri Sankar Kar, Attilio Belmonte

The impact of process steps on nearly ideal subthreshold slope in 300-mm compatible InGaZnO TFT
While we demonstrate a back-gated (BG) amorphous Indium-Gallium-Zinc-Oxide (a-IGZO) transistors with a nearly ideal subthreshold slope (SS) ~ 60 mV/dec. However, SS degrades when a top-gated (TG) configuration is implemented. The energy distribution of traps inferred from temperature-dependent (T = 4 K - 300 K) and multi-frequency (f = 1 kHz - 100 kHz) admittance measurements, reveals a much higher trap density in TG devices. By analyzing the impact of each process step and conducting forming g…