Tootfinder

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Spud Lovr (@spudlovr.bsky.social)
My favorite #Wisconsin #NoKings sign/flag from today. #wipolitics

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Spud Lovr (@spudlovr.bsky.social)
My favorite #Wisconsin #NoKings sign/flag from today. #wipolitics

Uniting the World by Dividing it: Federated Maps to Enable Spatial Applications
Sagar Bharadwaj, Srinivasan Seshan, Anthony Rowe
https://arxiv.org/abs/2507.11437

Uniting the World by Dividing it: Federated Maps to Enable Spatial Applications
The emergence of the Spatial Web -- the Web where content is tied to real-world locations has the potential to improve and enable many applications such as augmented reality, navigation, robotics, and more. The Spatial Web is missing a key ingredient that is impeding its growth -- a spatial naming system to resolve real-world locations to names. Today's spatial naming systems are digital maps such as Google and Apple maps. These maps and the location-based services provided on top of these maps…

What’s the difference between ordinary functions and arrow functions in JavaScript?
Arrow functions (also known as ‘rocket’ functions) are concise and convenient. However, they have subtle differences compared to function declarations and function expressions. So how do you know which one to use, and when?
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What’s the difference between ordinary functions and arrow functions in JavaScript?
Arrow functions (also known as ‘rocket’ functions) are concise and convenient. However, they have subtle differences compared to function declarations and function expressions. So how do you know which one to use, and when?

3S-Attack: Spatial, Spectral and Semantic Invisible Backdoor Attack Against DNN Models
Jianyao Yin, Luca Arnaboldi, Honglong Chen, Pascal Berrang
https://arxiv.org/abs/2507.10733 …

3S-Attack: Spatial, Spectral and Semantic Invisible Backdoor Attack Against DNN Models
Backdoor attacks involve either poisoning the training data or directly modifying the model in order to implant a hidden behavior, that causes the model to misclassify inputs when a specific trigger is present. During inference, the model maintains high accuracy on benign samples but misclassifies poisoned samples into an attacker-specified target class. Existing research on backdoor attacks has explored developing triggers in the spatial, spectral (frequency), and semantic (feature) domains, a…

Time-series forecasting for nonlinear high-dimensional system using hybrid method combining autoencoder and multi-parallelized quantum long short-term memory and gated recurrent unit
Makoto Takagi, Ryuji Kokubo, Misato Kurosawa, Tsubasa Ikami, Yasuhiro Egami, Hiroki Nagai, Takahiro Kashikawa, Koichi Kimura, Yutaka Takita, Yu Matsuda
https://

Time-series forecasting for nonlinear high-dimensional system using hybrid method combining autoencoder and multi-parallelized quantum long short-term memory and gated recurrent unit
A time-series forecasting method for high-dimensional spatial data is proposed. The method involves optimal selection of sparse sensor positions to efficiently represent the spatial domain, time-series forecasting at these positions, and estimation of the entire spatial distribution from the forecasted values via a learned decoder. Sensor positions are selected using a method based on combinatorial optimization. Introducing multi-parallelized quantum long short-term memory (MP-QLSTM) and gated …

SemanticST: Spatially Informed Semantic Graph Learning for1 Clustering, Integration, and Scalable Analysis of Spatial2 Transcriptomics
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad-Rokny
https://arxiv.org/abs/2506.11491

SemanticST: Spatially Informed Semantic Graph Learning for1 Clustering, Integration, and Scalable Analysis of Spatial2 Transcriptomics
Spatial transcriptomics (ST) technologies enable gene expression profiling with spatial resolution, offering unprecedented insights into tissue organization and disease heterogeneity. However, current analysis methods often struggle with noisy data, limited scalability, and inadequate modelling of complex cellular relationships. We present SemanticST, a biologically informed, graph-based deep learning framework that models diverse cellular contexts through multi-semantic graph construction. Sem…

Year 2 player spotlight: Maye, Harrison, Odunze among popular breakouts https://www.espn.com/fantasy/football/story/_/id/45718163/2025-fantasy-football-breakouts-sleepers-draft-undervalued-year-2

Apple unveils an updated Spotlight in macOS Tahoe, letting users quickly take actions in apps from playing music to creating notes and files, similar to Raycast (David Pierce/The Verge)
https://www.theverge.com/apple/682950/apple-spotlight-mac-shortcuts

Apple’s Spotlight upgrades look like a power-user dream
At WWDC 2025, Apple announced a big update to Spotlight that makes it a far more powerful system for launching and doing things on your Mac.

macOS Tahoe 26 hands-on: Liquid Glass is slick but slightly overwrought, and the new Spotlight search features are nifty and useful, but fall short of Raycast (Antonio G. Di Benedetto/The Verge)
https://www.theverge.com/apple/685052/appl

Hands on with macOS Tahoe 26: Liquid Glass, new theme options, and Spotlight
macOS Tahoe 26 developer beta 1 is here, with our first glimpse at Liquid Glass on the desktop, plus the first glimmers of Spotlight’s big new moves.