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In an age of media saturation, how can astronomers succeed in grabbing the public's attention to increase awareness and understanding of astronomy? Here I discuss some creative alternatives to press releases, public lectures, television…

Popular Physics · Physics 2016-09-08 Michael J. West

The goal of demonstrating a quantum advantage with currently available experimental systems is of utmost importance in quantum information science. While this remains elusive for quantum computation, the field of communication complexity…

Quantum Physics · Physics 2019-09-16 Niraj Kumar , Iordanis Kerenidis , Eleni Diamanti

The highest energy cosmic rays observed possess macroscopic energies and their origin is likely to be associated with the most energetic processes in the Universe. Their existence triggered a flurry of theoretical explanations ranging from…

High Energy Physics - Phenomenology · Physics 2014-11-17 Guenter Sigl

To answer the very interesting questions raised by the discovery of neutrino mass, an effective, coherent strategy is needed. To foster the development of such a strategy, the American Physical Society's Divisions of Nuclear Physics and of…

Popular Physics · Physics 2009-09-29 Stuart J. Freedman , Boris Kayser

Machine learning potentials have become increasingly successful in atomistic simulations. Many of these potentials are based on an atomistic representation in a local environment, but an efficient description of non-local interactions that…

Chemical Physics · Physics 2024-10-01 Yibin Wu , Junfan Xia , Yaolong Zhang , Bin Jiang

Assisted by neural networks, reinforcement learning agents have been able to solve increasingly complex tasks over the last years. The simulation environment in which the agents interact is an essential component in any reinforcement…

Machine Learning · Computer Science 2018-09-03 Aqeel Labash , Ardi Tampuu , Tambet Matiisen , Jaan Aru , Raul Vicente

We present the first public release of our generic neural network training algorithm, called SkyNet. This efficient and robust machine learning tool is able to train large and deep feed-forward neural networks, including autoencoders, for…

Instrumentation and Methods for Astrophysics · Physics 2015-06-17 Philip Graff , Farhan Feroz , Michael P. Hobson , Anthony N. Lasenby

With this paper we participate to the call for ideas issued by the European Space Agency to define the Science Program and plan for space missions from 2035 to 2050. In particular we present five science cases where major advancements can…

Instrumentation and Methods for Astrophysics · Physics 2021-01-26 A. Zanella , C. Zanoni , F. Arrigoni-Battaia , A. Rubin , A. Pala , C. Peroux , R. Augustin , C. Circosta , E. Emsellem , E. George , D. Milakovic , R. van der Burg , T. Kupfer

AGILE is a space mission launched in 2007 devoted to high-energy astrophysics. The AGILE Team is involved in the multi-messenger campaigns to send and receive science alerts about transient events in the shortest time possible. For this…

Instrumentation and Methods for Astrophysics · Physics 2023-02-14 Andrea Bulgarelli , Nicolò Parmiggiani , Valentina Fioretti , Leonardo Baroncelli , Antonio Addis , Ambra Di Piano , Carlotta Pittori , Marco Tavani

This work-in-progress paper presents SPARC (Systematic Problem Solving and Algorithmic Reasoning for Children), a gamified learning platform designed to enhance engagement and knowledge retention in K-12 STEM education. Traditional…

Computers and Society · Computer Science 2025-08-05 Chengzhang Zhu , Cecile H. Sam , Yanlai Wu , Ying Tang

Research on emergent communication between deep-learning-based agents has received extensive attention due to its inspiration for linguistics and artificial intelligence. However, previous attempts have hovered around emerging communication…

In the multi-messenger era, space and ground-based observatories usually develop real-time analysis (RTA) pipelines to rapidly detect transient events and promptly share information with the scientific community to enable follow-up…

Instrumentation and Methods for Astrophysics · Physics 2022-09-21 N. Parmiggiani , A. Bulgarelli , A. Ursi , V. Fioretti , L. Baroncelli , A. Addis , A. Di Piano , C. Pittori , F. Verrecchia , F. Lucarelli , M. Tavani , D. Beneventano

We introduce an open-source system called SIGMA (short for "Situated Interactive Guidance, Monitoring, and Assistance") as a platform for conducting research on task-assistive agents in mixed-reality scenarios. The system leverages the…

Human-Computer Interaction · Computer Science 2024-05-24 Dan Bohus , Sean Andrist , Nick Saw , Ann Paradiso , Ishani Chakraborty , Mahdi Rad

Multi-messenger high-energy astrophysics has currently achieved the potential to unravel the origin of cosmic rays and how sources accelerate them, their relation to the diffuse radiation in the extra-galactic space, and their role to forge…

High Energy Astrophysical Phenomena · Physics 2023-01-18 Teresa Montaruli

We challenge text-to-image models with generating escape room puzzle images that are visually appealing, logically solid, and intellectually stimulating. While base image models struggle with spatial relationships and affordance reasoning,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Mengyi Shan , Brian Curless , Ira Kemelmacher-Shlizerman , Steve Seitz

In these three lectures I discuss the present status of high-energy astroparticle physics including Ultra-High-Energy Cosmic Rays (UHECR), high-energy gamma rays, and neutrinos. The first lecture is devoted to ultra-high-energy cosmic rays.…

High Energy Physics - Phenomenology · Physics 2010-10-14 D. Semikoz

Do neutrinos have sizable self-interactions? They might. Laboratory constraints are weak, so strong effects are possible in astrophysical environments and the early universe. Observations with neutrino telescopes can provide an independent…

High Energy Physics - Phenomenology · Physics 2021-12-07 Ivan Esteban , Sujata Pandey , Vedran Brdar , John F. Beacom

Mathematics is often perceived as difficult or inaccessible, yet meaningful engagement can arise in unexpected places. In this article we describe a multi-year exploration of mathematical outreach through games, puzzles, exhibitions, and…

History and Overview · Mathematics 2025-12-04 Hugo Parlier , Bruno Teheux

Some of the most exciting and promising areas of Astronomy research today are found at the boundaries of the discipline: the search for Exoplanets and Multi-Messenger Astronomy. In order to achieve breakthroughs in these research fields…

Instrumentation and Methods for Astrophysics · Physics 2019-03-04 Michael J. Kurtz , Alberto Accomazzi

This work addresses the problem of online exploration and visual sensor coverage of unknown environments. We introduce a novel perception roadmap we refer to as the Active Perception Network (APN) that serves as a hierarchical topological…

Robotics · Computer Science 2023-09-22 David Vutetakis , Jing Xiao
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