Tootfinder

So arguably the Pac-Man ghost logic is the exact opposite of “AI”.
It’s extremely well defined behavior based on very basic deterministic algorithms that are so simple a 8-year old player can understand them and anticipate them correctly for those high-scores.
The game actually is famous for the simple enemy logic and studied by games designers for it.
Pac-Man enemy behavior:
deterministic, well-defined algorithm that can easily be executed on the most primitive* computer hardware
“AI”:
black-box algorithm with indeterministic behavior that requires a metric shitload of compute
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*By “primitive computer hardware” I mean that the Pac-Man arcade machine runs on a Zilog Z80 CPU with 8,500 transistors.The CPU in the phone you are reading this on has (latest iPhone as example) 15 billion transistors or so (almost 2 million times more) and runs tens of thousands of times faster.

A look at the potential future of personalized, AI-generated entertainment, and how it could both submerge human originality and enable new forms of expression (Joshua Rothman/New Yorker)
https://www.newyorker.com/magazine/2025/09/01/ai-is-coming-for-cu…

A.I. Is Coming for Culture
We’re used to algorithms guiding our choices. But when machines can effortlessly generate the content we consume, Joshua Rothman asks, what’s left for the human imagination?

Recoil-Safe Subtraction, Matching and Merging in e e- to hadrons
Stefan H\"oche, Frank Krauss, Peter Meinzinger, Daniel Reichelt
https://arxiv.org/abs/2507.22837 https://…

Recoil-Safe Subtraction, Matching and Merging in e+e- to hadrons
We present the first next-to-leading order matched and multi-jet merged predictions based on the Alaric parton shower. The components needed for infrared subtraction in the S-MC@NLO algorithm are computed analytically for the case of color singlet decays to hadronic final states and validated against existing approaches for up to e+e- to 5 jets. Phenomenological results for e+e- to hadrons at the Z pole are obtained with up to five jets at next-to-leading order precision, for the first time usi…

Theoretical foundations of the integral indicator application in hyperparametric optimization
Roman S. Kulshin, Anatoly A. Sidorov
https://arxiv.org/abs/2508.20550 https://

Theoretical foundations of the integral indicator application in hyperparametric optimization
The article discusses the concept of hyperparametric optimization of recommendation algorithms using an integral assessment that combines various performance indicators into a single consolidated criterion. This approach is opposed to traditional methods of setting up a single metric and allows you to achieve a balance between accuracy, ranking quality, variety of output and the resource intensity of algorithms. The theoretical significance of the research lies in the development of a universal…

A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
Hang Su, Yunlong Feng, Daniel Gehrig, Panfeng Jiang, Ling Gao, Xavier Lagorce, Laurent Kneip
https://arxiv.org/abs/2507.22733

A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks
Structure and continuous motion estimation from point correspondences is a fundamental problem in computer vision that has been powered by well-known algorithms such as the familiar 5-point or 8-point algorithm. However, despite their acclaim, these algorithms are limited to processing point correspondences originating from a pair of views each one representing an instantaneous capture of the scene. Yet, in the case of rolling shutter cameras, or more recently, event cameras, this synchronizati…

Somebody complained the CSV loader in ngscopeclient was too slow https://github.com/ngscopeclient/scopehal/issues/989
In the original discussion (linked from this ticket) they wanted to multithread it. Which is still potentially on the table for the future, but I d…

CSV filter: more efficient loading of large files · Issue #989 · ngscopeclient/scopehal
The current parsing algorithm is extremely inefficient. See ngscopeclient/scopehal-apps#874 for a problematic dataset

Distributed Iterative ML and Message Passing for Grant-Free Cell-Free Massive MIMO Systems
Zilu Zhao, Christian Forsch, Laura Cottatellucci, Dirk Slock
https://arxiv.org/abs/2507.21363

Distributed Iterative ML and Message Passing for Grant-Free Cell-Free Massive MIMO Systems
Cell-Free (CF) Massive Multiple-Input Multiple-Output (MaMIMO) is considered one of the leading candidates for enabling next-generation wireless communication. With the growing interest in the Internet of Things (IoT), the Grant-Free (GF) access scheme has emerged as a promising solution to support massive device connectivity. The integration of GF and CF-MaMIMO introduces significant challenges, particularly in designing distributed algorithms for activity detection and pilot contamination mit…

BALSAM: A Platform for Benchmarking Arabic Large Language Models
Rawan Al-Matham, Kareem Darwish, Raghad Al-Rasheed, Waad Alshammari, Muneera Alhoshan, Amal Almazrua, Asma Al Wazrah, Mais Alheraki, Firoj Alam, Preslav Nakov, Norah Alzahrani, Eman alBilali, Nizar Habash, Abdelrahman El-Sheikh, Muhammad Elmallah, Haonan Li, Hamdy Mubarak, Mohamed Anwar, Zaid Alyafeai, Ahmed Abdelali, Nora Altwairesh, Maram Hasanain, Abdulmohsen Al Thubaity, Shady Shehata, Bashar Alhafni, Injy Hamed, Go I…

BALSAM: A Platform for Benchmarking Arabic Large Language Models
The impressive advancement of Large Language Models (LLMs) in English has not been matched across all languages. In particular, LLM performance in Arabic lags behind, due to data scarcity, linguistic diversity of Arabic and its dialects, morphological complexity, etc. Progress is further hindered by the quality of Arabic benchmarks, which typically rely on static, publicly available data, lack comprehensive task coverage, or do not provide dedicated platforms with blind test sets. This makes it…

DOA Estimation via Continuous Aperture Arrays: MUSIC and CRLB
Haonan Si, Zhaolin Wang, Xiansheng Guo, Jin Zhang, Yuanwei Liu
https://arxiv.org/abs/2507.21347 https://

DOA Estimation via Continuous Aperture Arrays: MUSIC and CRLB
Direction-of-arrival (DOA) estimation using continuous aperture array (CAPA) is studied. Compared to the conventional spatially discrete array (SPDA), CAPA significantly enhances the spatial degrees-of-freedoms (DoFs) for DOA estimation, but its infinite-dimensional continuous signals render the conventional estimation algorithm non-applicable. To address this challenge, a new multiple signal classification (MUSIC) algorithm is proposed for CAPAs. In particular, an equivalent continuous-discret…

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation
Raju Ningappa Mulawade, Christoph Garth, Alexander Wiebel
https://arxiv.org/abs/2507.22020 https://…

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation
We propose a novel segmentation-based explainable artificial intelligence (XAI) method for neural networks working on point cloud classification. As one building block of this method, we propose a novel point-shifting mechanism to introduce perturbations in point cloud data. Recently, AI has seen an exponential growth. Hence, it is important to understand the decision-making process of AI algorithms when they are applied in critical areas. Our work focuses on explaining AI algorithms that class…