Tootfinder

ToPolyAgent: AI Agents for Coarse-Grained Topological Polymer Simulations
Lijie Ding, Jan-Michael Carrillo, Changwoo Do
https://arxiv.org/abs/2510.12091 https://

ToPolyAgent: AI Agents for Coarse-Grained Topological Polymer Simulations
We introduce ToPolyAgent, a multi-agent AI framework for performing coarse-grained molecular dynamics (MD) simulations of topological polymers through natural language instructions. By integrating large language models (LLMs) with domain-specific computational tools, ToPolyAgent supports both interactive and autonomous simulation workflows across diverse polymer architectures, including linear, ring, brush, and star polymers, as well as dendrimers. The system consists of four LLM-powered agents…

topology: Internet AS graph (2004)
An integrated snapshot of the structure of the Internet at the level of Autonomous Systems (ASs), reconstructed from multiple sources, including the RouteViews and RIPE BGP trace collectors, route servers, looking glasses, and the Internet Routing Registry databases. This snapshot was created around October 2004.
This network has 34761 nodes and 171403 edges.
Tags: Technological, Communication, Unweighted, Multigraph, Timestamps

Streeck zu Mediensucht bei Jugendlichen: "Die Dosis macht das Gift"
Prof. Streeck über Mediensucht bei Jugendlichen: Digitale Medien sind kein Teufelszeug, aber die Dosis macht das Gift. Verbote sind der letzte Weg.

SPHENIC: Topology-Informed Multi-View Clustering for Spatial Transcriptomics
Chenkai Guo, Yikai Zhu, Jing Yangum, Renxiang Guan, Por Lip Yee, Guangdun Peng, Dayu Hu
https://arxiv.org/abs/2508.10646

SPHENIC: Topology-Informed Multi-View Clustering for Spatial Transcriptomics
By incorporating spatial location information, spatial-transcriptomics clustering yields more comprehensive insights into cell subpopulation identification. Despite recent progress, existing methods have at least two limitations: (i) topological learning typically considers only representations of individual cells or their interaction graphs; however, spatial transcriptomic profiles are often noisy, making these approaches vulnerable to low-quality topological signals, and (ii) insufficient mod…

Bayesian Topological Convolutional Neural Nets
Sarah Harkins Dayton, Hayden Everett, Ioannis Schizas, David L. Boothe Jr., Vasileios Maroulas
https://arxiv.org/abs/2510.11704 ht…

Bayesian Topological Convolutional Neural Nets
Convolutional neural networks (CNNs) have been established as the main workhorse in image data processing; nonetheless, they require large amounts of data to train, often produce overconfident predictions, and frequently lack the ability to quantify the uncertainty of their predictions. To address these concerns, we propose a new Bayesian topological CNN that promotes a novel interplay between topology-aware learning and Bayesian sampling. Specifically, it utilizes information from important ma…

🇺🇦 Auf radioeins läuft...
The Black Seeds:
🎵 Hypnotized Again
#NowPlaying #TheBlackSeeds
https://theblackseeds.bandcamp.com/track/hypnotized-again
https://open.spotify.com/track/3sRN8pfygT39hfpZMtLX5m

Coinbase invests in Indian crypto exchange CoinDCX to expand into India and the Middle East; CEO Sumit Gupta said the deal values CoinDCX at $2.45B post-money (Danny Park/The Block)
https://www.theblock.co/post/374683/coinbase-invests-coindcx

Metric Topologies on Multiset Spaces as Topological Monoids and Their Group Completion
Donghan Kim
https://arxiv.org/abs/2510.10080 https://arxiv.org/pdf/2…

Metric Topologies on Multiset Spaces as Topological Monoids and Their Group Completion
We construct a multiset space $\mathbb{N}[X]$ over a metric space $X$ that simultaneously enjoys desirable topological properties and admits a natural matching metric $d_{\mathbb{N}[X]}$, making it a metrizable abelian topological monoid whose structure is compatible with the original metric on $X$. This framework extends naturally to the free abelian group $\mathbb{Z}[X]$, where a metric $d_{\mathbb{Z}[X]}$ induces a metrizable abelian topological group structure. We further identify the metri…

topology: Internet AS graph (2004)
An integrated snapshot of the structure of the Internet at the level of Autonomous Systems (ASs), reconstructed from multiple sources, including the RouteViews and RIPE BGP trace collectors, route servers, looking glasses, and the Internet Routing Registry databases. This snapshot was created around October 2004.
This network has 34761 nodes and 171403 edges.
Tags: Technological, Communication, Unweighted, Multigraph, Timestamps

Arkham Intelligence: SpaceX now holds 8,285 bitcoin, valued at ~$1.02B, down from 28,000 bitcoin worth $1.8B in April 2021 after cutting its holdings in 2022 (Danny Park/The Block)
https://www.theblock.co/post/366874/spacex-bitcoin-holdings-exceed-1-billion