Tootfinder

Benchmarking quantum computers with any quantum algorithm
Stefan K. Seritan, Aditya Dhumuntarao, Aidan Q. Wilber-Gauthier, Kenneth M. Rudinger, Antonio E. Russo, Robin Blume-Kohout, Andrew D. Baczewski, Timothy Proctor
https://arxiv.org/abs/2508.05754

Benchmarking quantum computers with any quantum algorithm
Application-based benchmarks are increasingly used to quantify and compare quantum computers' performance. However, because contemporary quantum computers cannot run utility-scale computations, these benchmarks currently test this hardware's performance on ``small'' problem instances that are not necessarily representative of utility-scale problems. Furthermore, these benchmarks often employ methods that are unscalable, limiting their ability to track progress towards utility-scale applications…

Short-Range Order and Li$_x$TM$_{4-x}$ Probability Maps for Disordered Rocksalt Cathodes
Tzu-chen Liu, Steven B. Torrisi, Chris Wolverton
https://arxiv.org/abs/2508.08112 https:…

Short-Range Order and Li$_x$TM$_{4-x}$ Probability Maps for Disordered Rocksalt Cathodes
Short-range order (SRO) in the cation-disordered state is a controlling factor influencing the probability of finding Li$_{4}$ tetrahedron clusters in disordered rocksalt (DRX) cathode materials. However, the prevalent Li$_4$ probability below the random limit across reported DRX compositions has not been systematically investigated, active strategies to surpass the random limit of Li$_4$ probability are lacking, and the fundamental ordering behavior on the face-centered cubic (FCC) lattice rem…

Medicaid 'gamers' are the new 'welfare queens' (Stephen Robinson/Public Notice)
https://www.publicnotice.co/p/republicans-medicaid-video-gamers-trump-bill
http://www.memeorandum.com/250723/p21#a250723p21

The Singapore Consensus on Global AI Safety Research Priorities
Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, S\"oren Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Sim\'eon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnes Delaborde, Nouha Dziri, Francisco Eiras, J…

The Singapore Consensus on Global AI Safety Research Priorities
Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy, reliable, and secure. Building a trusted ecosystem is therefore essential -- it helps people embrace AI with confidence and gives maximal space for innovation while avoiding backlash. The "2025 Singapore Conference on AI (SCAI): International Scientific Exchange on AI Safety" aimed to support research in this space…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Johann Pachelbel, Christoph Anselm Noll, Cantus Cölln, Johanna Koslowsky, Graham Pushee, Wilfred Jochens, Stephan Schreckenberger & Konrad Junghänel:
🎵 Magnificat
#JohannPachelbel #ChristophAnselmNoll #CantusCölln

Smoothness Meets Autobidding: Tight Price of Anarchy Bounds for Simultaneous First-Price Auctions
Riccardo Colini-Baldeschi, Sophie Klumper, Twan Kroll, Stefano Leonardi, Guido Sch\"afer, Artem Tsikiridis
https://arxiv.org/abs/2506.20908

Smoothness Meets Autobidding: Tight Price of Anarchy Bounds for Simultaneous First-Price Auctions
Online advertising systems have recently transitioned to autobidding, enabling advertisers to delegate bidding decisions to automated agents. Each advertiser directs their agent to optimize a valuation-dependent objective subject to return-on-investment (ROI) or budget constraints. Given their relevance, there has been a surge in literature studying the liquid welfare price of anarchy (POA) of core auction formats in autobidding, among which simultaneous first-price auctions (FPA). These models…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Johann Pachelbel, Christoph Anselm Noll, Cantus Cölln, Johanna Koslowsky, Graham Pushee, Wilfred Jochens, Stephan Schreckenberger & Konrad Junghänel:
🎵 Magnificat
#JohannPachelbel #ChristophAnselmNoll #CantusCölln

Carotid Plaque Segmentation in Ultrasound Images Using a Mask R-CNN
Maxwell J. Kiernan, Rashid Al Mukaddim, Carol C. Mitchell, Jenna Maybock, Stephanie M. Wilbrand, Robert J. Dempsey, Tomy Varghese
https://arxiv.org/abs/2507.22848

Carotid Plaque Segmentation in Ultrasound Images Using a Mask R-CNN
Background: Ultrasound imaging plays a pivotal role in diagnosing carotid atherosclerosis, a significant precursor to cardiovascular and cerebrovascular diseases and events. This non-invasive modality provides real-time, high-resolution images, allowing clinicians to assess atherosclerotic plaques in the carotid arteries without invasive procedures. Purpose: In this study, we present the refinement of a Mask R-CNN model initially designed for carotid lumen detection to automatically generate bo…

EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning
Sara Si-Moussi, Stephan Hennekens, Sander M\"ucher, Wanda De Keersmaecker, Milan Chytr\'y, Emiliano Agrillo, Fabio Attorre, Idoia Biurrun, Gianmaria Bonari, Andra\v{z} \v{C}arni, Renata \'Cu\v{s}terevska, Tetiana Dziuba, Klaus Ecker, Behl\"ul G\"uler, Ute Jandt, Borja Jim\'enez-Alfaro, Jonathan Lenoir, Jens-Christian Svenning, Grzegorz Swacha, Wilfried Thuiller

EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning
The EUNIS habitat classification is crucial for categorising European habitats, supporting European policy on nature conservation and implementing the Nature Restoration Law. To meet the growing demand for detailed and accurate habitat information, we provide spatial predictions for 260 EUNIS habitat types at hierarchical level 3, together with independent validation and uncertainty analyses. Using ensemble machine learning models, together with high-resolution satellite imagery and ecologica…