INFUS 2026

Join 8th INFUS 2026 in Ankara (Turkish Capital)‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­‌   ­

Call for Papers – RAISE 2026 and MO2RE 2026 Workshops @ ICSE

Call for Papers – RAISE 2026 and MO2RE 2026 Workshops @ ICSE

 

RAISE 2026 – 2nd Workshop on Requirements Engineering for AI-powered SoftwarE

 

RAISE 2026 focuses on rethinking Requirements Engineering (RE) in the context of AI-powered software (AIware).

Topics of interest include (but are not limited to):

– Requirements as Code: natural language prompts as requirements

– RE and AI: new practices for data/model alignment, cognitive architecture, performance engineering

– Dual Training of AI Agents and Software Makers

– Collaboration Between AIware Agents and Humans

– Rethinking RE Curriculum

 

Submission types:

– Technical contributions: up to 8 pages

– Industrial experience reports: up to 6 pages

– Extended abstracts / discussion-oriented contributions: up to 4 pages

– Demos and datasets: up to 4 pages

 

Important dates:

– Submission deadline: 20 October 2025

– Notification: 24 November 2025

– Camera-ready: 26 January 2026

 

Website: https://conf.researchr.org/home/icse-2026/raise-2026

Submission site: https://icse2026-raise.hotcrp.com

 

Organisers:

Amel Bennaceur (Open University, UK)

Gopi K. Rajbahadur (Huawei, Canada)

Walid Maalej (University of Hamburg, Germany)

Livia Lestingi (Politecnico di Milano, Italy)

 

Call for Participation: Sixth Annual Nepal AI School (ANAIS) 29 Dec 2025 – 8 Jan 2026, Kathmandu, Nepal

Call for Participation:  Annual Nepal AI School (ANAIS) 2025

ANAIS2025: Annual Nepal AI School 2025

Date: 29th December 2025 to 8th January 2026. Kathmandu, Nepal

Application Deadline: October 16th, 2025

Website: https://anais.naamii.org.np/

Contact: anais@naamii.org.np


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We are delighted to welcome you to Nepal, a beautiful country in the Himalayan region, for the Annual Nepal AI School (ANAIS) organised by Nepal Applied Mathematics and Informatics Institute for research (NAAMII).
 ANAIS is an 11-day flagship program offering an intensive course on the foundations and applications of Artificial Intelligence (AI).
Over the past five editions, ANAIS has attracted leading scientists from world-renowned companies, universities, and research labs, featuring more than 65 speakers. We received 1750+ applications from across the world, with participants including undergraduates, graduates, PhD scholars, researchers, faculty members, and industry professionals, both from Nepal and abroad. Until now, more than 60 international participants from 30+ countries have already attended ANAIS.
ANAIS 2025 brings together researchers, educators, and industry leaders in the field of Artificial Intelligence. The event offers a vibrant platform for participants to exchange knowledge, share ideas, and showcase innovations in the field. It is an excellent opportunity for attendees to network and collaborate.
For this edition, we are pleased to announce 14 distinguished speakers from leading universities, institutes, and research labs worldwide. Additional speakers will be confirmed soon.
  1. Prof. Michael Bronstein (University of Oxford, UK)
  2. Prof. Frank Dignum (Umeå University, Sweden)
  3. Prof. Virginia Dignum (Umeå University, Sweden)
  4. Prof. Anubha Gupta (IIIT Delhi, India)
  5. Prof. Balaraman Ravindran (IIT Madras, India)
  6. Prof. Mayank Vasta (IIT Jodhpur, India)
  7. Prof. Xavier Bresson (National University of Singapore, Singapore)
  8. Assoc. Prof. Ashutosh Modi (IIT Kanpur, India)
  9. Asst. Prof. François Rameau (SUNY Korea, South Korea)
  10. Asst. Prof. Raunak Bhattacharya (IIT Delhi, India)
  11. Adj. Asst. Prof. Bipendra Basnyat (University of Maryland, Baltimore)
  12. Dr. Vijay Prakash Dwivedi (Stanford University, USA)
  13. Dr. Ismail Ceylan (University of Oxford, UK)
  14. Dr. Viktor Schlegel (Imperial College London, UK)

VOILA! S4E1 AI & Education – October 8, 4pm

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by Prof. Britt Paris, School of Communication and Information, Rutgers University 

#AIandEducation 

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Date: Wednesday, October 8, 2025 (online) 

Time: 4:00 pm to 5:30 PM CEST 

Language: English (avec des sous-titres traduits) 

Free and mandatory registration 

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Abstract: The uncritical adoption of artificial intelligence (AI) across higher education poses a threat to academic professions through work intensification and job losses and through its implications for intellectual property, economic security, and the corporate capture of faculty working conditions that affect student learning conditions.   

Over the last 40 years, US higher education has been defunded and institutions have reached for privatized technology solutions. For decades, there have been significant labor issues around the use of technology in higher education. Now, however, the US federal administration’s direct attacks on people of color, trans and disabled people, immigrants, science, democratic institutions, freedom of speech and assembly, and higher education highlight the interconnectedness of struggles for what is left of the public good, labor, and human rights on multiple fronts. As the tech industry has facilitated and benefitted from these attacks, analyses of the current moment must also critically consider the crisis of corporate technology and its unchecked power over our working, learning, and daily lives.  

To move us forward in this fight, the AAUP’s ad hoc Committee on Artificial Intelligence and Academic Professions has published a new report based on research and organizing engagements with members of AAUP members across faculty ranks, job categories, and institution types. It includes principles like shared governance and faculty and student right to control their educational futures, recommendations like worker and student collectives to govern technology procurement and deployment, and the capacity to opt-out of data capture and technology use, and strategies to build power across sectors. Our committee recognizes that what’s at stake with how AI is deployed in higher education is the possibility of informed participation in democracy, as well as labor and education justice. 

Bio: Britt S. Paris is chair of the American Association of University Professors (AAUP) national ad hoc committee on AI in the profession. She is also on the executive board of her local AAUP chapter at Rutgers University. Paris is an associate professor in the School of Communication and Information at Rutgers University.   

Paris is a critical informatics scholar studying the political economy of information infrastructure, as it relates to evidentiary standards and political action. Her book: Radical Infrastructures: Imagining the Internet from the Ground Up” published with University of California Press will be available in January 2026. Previously, she has published work on Internet infrastructure projects, artificial intelligence-generated information objects, digital labor, and civic data, analyzed through the lenses of science and technology studies, political economy, cultural studies, and social epistemology. These streams of research focus on developing a broader understanding of the social, political, economic, and historical forces that have shaped our current information and communication environment to allow us to envision and organize political will around a future worth fighting for.   

Paris has her MA in Media Studies from the New School in New York City and her PhD in Information Studies from the University of California, Los Angeles. She is an alumni of Data & Society Research Institute where she published a landmark critique on generative AI – on deepfakes – in 2019. She joined the faculty at Rutgers University as an Assistant Professor in the Department of Library and Information Science in Fall 2019. She was promoted to Associate Professor in Spring 2025.   

Discussant: Prof. Lucile Sassatelli (Université Côte d'Azur 

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About VOILA! Seminars 

EFELIA Côte d'Azur and the Chair of Economics of AI and Innovation organize a multidisciplinary webinar series on Artificial Intelligence, blending scientific excellence with accessibility. Join top speakers and panelists in an online discussion of frontier AI research — live, in English and French, from the comfort of your home 

We are concluding our third season having covered topics of AI’s impact on security, environment, future of work, industrial policy, ethics, neuroscience, and many more! Register for free to connect live with leading experts in the topic of the seminar.  

Watch previous episodes and seasons on our YouTube channel and follow us on LinkedIn! 

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on behalf of the VOILA! Team 

Aspectos prácticos de las instalaciones de redes de comunicación industrial en AADECA

Aspectos Prácticos de las Instalaciones de Redes de Comunicación Industrial
7, 8 y 9 de octubre de 2025 de 17:00 a 20:00 hs en forma VIRTUAL

Este curso proporciona una visión integral de las tecnologías y estándares actuales en redes industriales, abordando aspectos clave como la integración de redes IT y OT, los requerimientos específicos de las redes industriales, y la participación en el mercado de diferentes tecnologías. Se exploran los medios de transmisión disponibles (eléctrico, óptico e inalámbrico) y se detallan los protocolos PROFIBUS DP, PROFIBUS PA y PROFINET, destacando sus aplicaciones y ventajas en la automatización industrial. Además, se incluyen consideraciones para instalaciones en áreas clasificadas, estrategias para la mitigación de interferencias electromagnéticas y técnicas de diagnóstico de redes.

DIRIGIDO A: Profesionales y estudiantes interesados en el diseño, instalación y mantenimiento de redes de comunicación industrial
 

OBJETIVOS:

  • Comprender el estado actual de la tecnología
  • Diferenciar entre redes IT y OT, e identificar los requerimientos de las redes industriales
  • Conocer los estándares de aplicación
  • Analizar la participación en el mercado de los protocolos de red industriales.
  • Seleccionar medios de transmisión adecuados a cada aplicación.
  • Entender PROFIBUS DP y PA, y explorar PROFINET
  • Aprender sobre las consideraciones y normativas para la instalación de redes en áreas con riesgo de explosión.
  • Desarrollar estrategias para minimizar las interferencias electromagnéticas que puedan afectar el rendimiento de las redes.
  • Conocer las metodologías para diagnosticar y solucionar problemas en redes industriales, asegurando su funcionamiento continuo y eficiente.

TEMARIO:

  • Estado actual de la tecnología
  • Redes IT / OT
  • Redes Industriales – Requerimientos
  • Estándares
  • Participación en el mercado
  • Medios de transmisión (Eléctrico – Óptico – Inalámbrico)
  • PROFIBUS DP
  • PROFIBUS PA
  • PROFINET
  • Instalaciones en áreas clasificadas
  • Mitigación de interferencias electromagnéticas
  • Diagnóstico de redes
     

INSCRIPCIÓN Aquí

Seguinos en:           Consultas:   011 3201-2325     cursos@aadeca.org

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