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Neuroscience Preprint PDF DOI

NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence

Anthony Zador, Jean-Marc Fellous, Terrence Sejnowski, Gina Adam, James B Aimone, Akwasi Akwaboah, Yiannis Aloimonos, Carmen Amo Alonso, Chiara Bartolozzi, Michael J. Bennington, Michael Berry, Bing W. Brunton, Gert Cauwenberghs, Hillel J. Chiel, Tobi Delbruck, John Doyle, Jason Eshraghian, Ralph Etienne-Cummings, Cornelia Fermuller, Matthew Jacobsen, Ali A. Minai, Barbara Oakley, Alexander G. Ororbia II, Joe Paton, Blake Richards, Yulia Sandamirskaya, Abhronil Sengupta, Shihab Shamma, Michael P. Stryker, Seong Jong Yoo, Steven W. Zucker ยท 2026

Neuroscience and Artificial Intelligence (AI) have made impressive progress in recent years but remain only loosely interconnected. Based on a workshop convened by the National Science Foundation in Aโ€ฆ

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AI & Data Science Preprint PDF DOI

Do LLM-derived graph priors improve multi-agent coordination?

Nikunj Gupta, Rajgopal Kannan, Viktor Prasanna ยท 2026

Multi-agent reinforcement learning (MARL) is crucial for AI systems that operate collaboratively in distributed and adversarial settings, particularly in multi-domain operations (MDO). A central challโ€ฆ

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Computer Science Preprint PDF DOI

Virtual boundary integral neural network for three-dimensional exterior acoustic problems

Jiahao Li, Qiang Xi, Ilia Marchevskiy, Zhuojia Fu ยท 2026

This paper presents a virtual boundary integral neural network (VBINN) for exterior acoustic problems in three dimensions. The method introduces a virtual boundary inside the scatterer or vibrating boโ€ฆ

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Computer Science Preprint PDF DOI

Decentralised Trust and Security Mechanisms for IoT Networks at the Edge: A Comprehensive Review

Khandoker Ashik Uz Zaman, Mahdi H. Miraz, Mohammed N. M. Ali ยท 2026

INTRODUCTION: The proliferation of the amalgamation of IoT and edge computing has increased the demand for decentralised trust and security mechanisms capable of operating across heterogeneous and resโ€ฆ

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Engineering Preprint PDF DOI

Two-Tier High Altitude Platform Stations (HAPS) for Exploring Wireless Energy Harvesting

Faicel Khennoufa, Khelil Abdellatif, Halim Yanikomeroglu, Safwan Alfattani, Metin Ozturk, Ferdi Kara ยท 2026

In sixth-generation (6G) cellular networks and beyond, aerial platforms, such as uncrewed aerial vehicles (UAVs) and high-altitude platform stations (HAPS), are anticipated to play a crucial role in eโ€ฆ

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Computer Science Preprint PDF DOI

Lightweight Cybersickness Detection based on User-Specific Eye and Head Tracking Data in Virtual Reality

Yijun Wang, Mihai Bace, Maria Torres Vega ยท 2026

The occurrence of cybersickness in virtual reality (VR) significantly impairs users' perception and sense of immersion. Therefore, timely detection of cybersickness and the application of appropriate โ€ฆ

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AI & Data Science Preprint PDF DOI

Uncertainty Quantification in PINNs for Turbulent Flows: Bayesian Inference and Repulsive Ensembles

Khemraj Shukla, Zongren Zou, Theo Kaeufer, Michael Triantafyllou, George Em Karniadakis ยท 2026

Physics-informed neural networks (PINNs) have emerged as a promising framework for solving inverse problems governed by partial differential equations (PDEs), including the reconstruction of turbulentโ€ฆ

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AI & Data Science Preprint PDF DOI

SeekerGym: A Benchmark for Reliable Information Seeking

Remy Kim, Minseung Lee, Shuo Li, Osbert Bastani ยท 2026

Despite their substantial successes, AI agents continue to face fundamental challenges in terms of trustworthiness. Consider deep research agents, tasked with searching for information relevant to a gโ€ฆ

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AI & Data Science Preprint PDF DOI

Local Inconsistency Resolution: The Interplay between Attention and Control in Probabilistic Models

Oliver E. Richardson, Mandana Samiei, Mehran Shakerinava, Joseph D. Viviano, Abdessamad El Kabid, Ali Parviz, Yoshua Bengio ยท 2026

We present a generic algorithm for learning and approximate inference with an intuitive epistemic interpretation: iteratively focus on a subset of the model and resolve inconsistencies using the paramโ€ฆ

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AI & Data Science Preprint PDF DOI

BOIL: Learning Environment Personalized Information

Rohan Patil, Henrik I. Christensen ยท 2026

Navigating complex environments poses challenges for multi-agent systems, requiring efficient extraction of insights from limited information. In this paper, we introduce the Blackbox Oracle Informatiโ€ฆ

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Physics Preprint PDF DOI

Automated Classification of Plasma Regions at Mars Using Machine Learning

Yilan Qin, Chuanfei Dong, Hongyang Zhou, Chi Zhang, Kaichun Xu, Jiawei Gao, Simin Shekarpaz, Xinmin Li, Liang Wang ยท 2026

The plasma environment around Mars is highly variable because it is strongly influenced by the solar wind. Accurate identification of plasma regions around Mars is important for the community studyingโ€ฆ

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AI & Data Science Preprint PDF DOI

A proposal for PU classification under Non-SCAR using clustering and logistic model

Konrad Furmanczyk, Kacper Paczutkowski ยท 2026

The present study aims to investigate a cluster cleaning algorithm that is both computationally simple and capable of solving the PU classification when the SCAR condition is unsatisfied. A secondary โ€ฆ

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Engineering Preprint PDF DOI

Deep Learning-Based Snow Depth Retrieval Using Sentinel-1 Repeat-Pass InSAR

Nayan Yadav, Shadi Oveisgharan, Shirin Jalali ยท 2026

Snow depth plays a central role in seasonal snowpack characterization and the terrestrial water cycle, yet remains challenging to estimate at high spatial resolution. Recent studies have shown that reโ€ฆ

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AI & Data Science Preprint PDF DOI

Multimodal Fusion of Histopathology Images and Electronic Health Records for Early Breast Cancer Diagnosis

Aditya Shribhagwan Khandelwal, Mohammad Samar Ansari, Asra Aslam ยท 2026

Breast cancer is a leading cause of cancer-related mortality worldwide, and timely accurate diagnosis is critical to improving survival outcomes. While convolutional neural networks (CNNs) have demonsโ€ฆ

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Engineering Preprint PDF DOI

A Two-Stage Deep Learning Framework for Segmentation of Ten Gastrointestinal Organs from Coronal MR Enterography

Ashiqur Rahman, Md. Abu Sayed, Md Sharjis Ibne Wadud, Md. Abu Asad Al-Hafiz, Adam Mushtak, Muhammad E. H. Chowdhury ยท 2026

Accurate segmentation of gastrointestinal (GI) organs in magnetic resonance enterography (MRE) is critical for diagnosing inflammatory bowel disease (IBD). However, anatomical variability, class imbalโ€ฆ

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AI & Data Science Preprint PDF DOI

From Clinical Intent to Clinical Model: An Autonomous Coding-Agent Framework for Clinician-driven AI Development

Zihao Zhao, Frederik Hauke, Juliana De Castilhos, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn ยท 2026

Clinical AI development has traditionally followed a collaborative paradigm that depends on close interaction between clinicians and specialized AI teams. This paradigm imposes a practical challenge: โ€ฆ

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AI & Data Science Preprint PDF DOI

Live LTL Progress Tracking: Towards Task-Based Exploration

Noel Brindise, Cedric Langbort, Melkior Ornik ยท 2026

Motivated by the challenge presented by non-Markovian objectives in reinforcement learning (RL), we present a novel framework to track and represent the progress of autonomous agents through complex, โ€ฆ

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AI & Data Science Preprint PDF DOI

Tree of Concepts: Interpretable Continual Learners in Non-Stationary Clinical Domains

Dongkyu Cho, Xiyue Li, Samrachana Adhikari, Rumi Chunara ยท 2026

Continual learning aims to update models under distribution shift without forgetting, yet many high-stakes deployments, such as healthcare, also require interpretability. In practice, models that adapโ€ฆ

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AI & Data Science Preprint PDF DOI

EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling

Jiafei Song, Fengwei Zhou, Jin Qu, Wenjin Jason Li, Tong Wu, Gengjian Xue, Zhikang Zhao, Daomin Wei, Yichao Lu, Bailin Na ยท 2026

Recent Multimodal Large Language Models (MLLMs) have demonstrated strong performance on vision-language understanding tasks, yet their inference efficiency is often hampered by the large number of visโ€ฆ

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Mathematics Preprint PDF DOI

Supersingular Drinfeld modules, Brandt matrices, and rank-metric codes

Giacomo Micheli, Mihran Papikian ยท 2026

We prove a stabilization result for the $\mathbb{F}_q$-dimension of spaces of morphisms between supersingular Drinfeld modules, filtered by degree: for any two supersingular rank-$2$ Drinfeld $\mathbbโ€ฆ

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