Tootfinder

The Morpho-Kinetic Landscape of Macrophage Modes During Wound Healing in Zebrafish
Seol Ah Park, Giulia Lupi, Resul Ozbilgic, Michal Kollar, Aneta A. Ozvat, Mai Nguyen-Chi, Karol Mikula
https://arxiv.org/abs/2507.19314

The Morpho-Kinetic Landscape of Macrophage Modes During Wound Healing in Zebrafish
Macrophages play an essential role in wound healing due to their dynamic nature and functional plasticity, exhibiting highly heterogeneous morpho-kinetic behaviors depending on their activation states. However, quantitative analysis of macrophage behavior in in vivo settings remains limited, largely due to the complexity of their diverse morphologies and motility patterns over time. In this study, we present an analytic workflow to investigate macrophage dynamics in zebrafish. By computing a co…

Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
Jiechen Chen, Bipin Rajendran, Osvaldo Simeone
https://arxiv.org/abs/2506.21324

Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning
Neuromorphic and quantum computing have recently emerged as promising paradigms for advancing artificial intelligence, each offering complementary strengths. Neuromorphic systems built on spiking neurons excel at processing time-series data efficiently through sparse, event-driven computation, consuming energy only upon input events. Quantum computing, on the other hand, leverages superposition and entanglement to explore feature spaces that are exponentially large in the number of qubits. Hybr…

Conservative quantum offline model-based optimization
Kristian Sotirov, Annie E. Paine, Savvas Varsamopoulos, Antonio A. Gentile, Osvaldo Simeone
https://arxiv.org/abs/2506.19714 …

Conservative quantum offline model-based optimization
Offline model-based optimization (MBO) refers to the task of optimizing a black-box objective function using only a fixed set of prior input-output data, without any active experimentation. Recent work has introduced quantum extremal learning (QEL), which leverages the expressive power of variational quantum circuits to learn accurate surrogate functions by training on a few data points. However, as widely studied in the classical machine learning literature, predictive models may incorrectly e…

SIM-Enabled Hybrid Digital-Wave Beamforming for Fronthaul-Constrained Cell-Free Massive MIMO Systems
Eunhyuk Park, Seok-Hwan Park, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai
https://arxiv.org/abs/2506.19090

SIM-Enabled Hybrid Digital-Wave Beamforming for Fronthaul-Constrained Cell-Free Massive MIMO Systems
As the dense deployment of access points (APs) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems presents significant challenges, per-AP coverage can be expanded using large-scale antenna arrays (LAAs). However, this approach incurs high implementation costs and substantial fronthaul demands due to the need for dedicated RF chains for all antennas. To address these challenges, we propose a hybrid beamforming framework that integrates wave-domain beamforming via stacked inte…

Ist es besser, einen Verbrenner lange zu fahren oder ihn durch ein neues E-Auto zu ersetzen? Die Antwort darauf hat einem Schweizer Bundesamt offenbar nicht gefallen. So blieb eine Studie zunächst unter Verschluss.
https://www.spiegel.de/auto/elektroauto-kaufen-schweizer-bundesamt-hielt-heikle-studie-zur-oekobilanz-von-e-autos-zurueck-a-c465d53c-7f77-4751-a152-f91f77daf336

OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models
Koren Lazar, Matan Vetzler, Kiran Kate, Jason Tsay, David Boaz Himanshu Gupta, Avraham Shinnar, Rohith D Vallam, David Amid Esther Goldbraich, Guy Uziel, Jim Laredo, Ateret Anaby Tavor
https://arxiv.org/abs/2507.05316

OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models
AI agents and business automation tools interacting with external web services require standardized, machine-readable information about their APIs in the form of API specifications. However, the information about APIs available online is often presented as unstructured, free-form HTML documentation, requiring external users to spend significant time manually converting it into a structured format. To address this, we introduce OASBuilder, a novel framework that transforms long and diverse API d…

🇺🇦 #NowPlaying on #BBC6Music's #HuwStephens
Elbow:
🎵 Lippy Kids/ One Day Like This (Glastonbury 2014)
#Elbow
https://open.spotify.com/track/1OZSVl0JJ1MBzibpuhmmXb

🇺🇦 #NowPlaying on KEXP's #MorningShow
Elbow:
🎵 One Day Like This
#Elbow
https://vocalauthority.bandcamp.com/track/one-day-like-this-a
https://open.spotify.com/track/1OZSVl0JJ1MBzibpuhmmXb

Adaptive Bayesian Single-Shot Quantum Sensing
Ivana Nikoloska, Ruud Van Sloun, Osvaldo Simeone
https://arxiv.org/abs/2507.16477 https://

Adaptive Bayesian Single-Shot Quantum Sensing
Quantum sensing harnesses the unique properties of quantum systems to enable precision measurements of physical quantities such as time, magnetic and electric fields, acceleration, and gravitational gradients well beyond the limits of classical sensors. However, identifying suitable sensing probes and measurement schemes can be a classically intractable task, as it requires optimizing over Hilbert spaces of high dimension. In variational quantum sensing, a probe quantum system is generated via …

🇺🇦 #NowPlaying on #BBC6Music's #HuwStephens
Elbow:
🎵 Lippy Kids/ One Day Like This (Glastonbury 2014)
#Elbow
https://open.spotify.com/track/1OZSVl0JJ1MBzibpuhmmXb