12th International Artificial Intelligence Symposium – AIS 2026, 21-24 September, Riva del Sole Resort & SPA @ Tuscany * ⏰ Submission Deadline: May 23 *

April 7th, 2026 Daniela Lopez de Luise
The 12th International Artificial Intelligence Symposium – AIS 2026, 21-24 September,  Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy

Your expertise belongs on this program — paper submissions open.

https://ais2026.icas.events
ais@icas.cc

SATELLITE EVENT:
🎓 4th International Meeting on Foundation Models – IMFM2026
https://ais2026.icas.events/imfm2026/

PAPERS SUBMISSION:
All papers must be submitted using EasyChair:
https://easychair.org/conferences/?conf=ais20260
* ⏰ Paper Submission deadline: May 23 (AoE) *

CALL FOR PAPERS:
https://ais2026.icas.events/call-for-papers/

Please prepare your paper using the Springer Nature – Lecture Notes in Computer Science (LNCS) template.  Papers must be submitted in PDF.

📚 TYPES OF SUBMISSIONS:
When submitting a paper to AIS 2026, authors are required to select one of the following three types of papers:

* Long Paper / Late breaking paper: original novel and unpublished work (min. 12 pages, max. 15 pages in Springer LNCS format); the long papers and the late breaking papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings.

* Short Paper: an extended abstract of novel work (min. 6 pages, max. 11 pages in Springer LNCS format); the short papers, if accepted, will be published in the Springer-Nature LNCS conference proceedings.

* work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference;
Articles/Abstracts accepted in this special session  will not be published in the Conference Proceedings by Nature-Springer LNCS.

* work for poster presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant, and which may solicit fruitful discussion at the conference. Articles/Abstracts accepted in this special session  will not be published in the Conference Proceedings by Nature-Springer LNCS.

KEYNOTE SPEAKERS: TBA

PAST KEYNOTE SPEAKERS:
https://ais2026.icas.events/past-keynote-speakers/

AIS Leonardo Fibonacci BEST PAPER AWARD:
https://ais2026.icas.events/best-paper-award/

PROGRAM COMMITTEE:
https://ais2026.icas.events/program-committee/

VENUE:
https://ais2026.icas.events/venue/

The venue of AIS 2026 will be Riva del Sole Resort & SPA @ Tuscany

AIS 2026 is a Residential Conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed.

Riva del Sole Resort & SPA
a: Località Riva del Sole – Castiglione della Pescaia (Grosseto, CAP 58043‚ Tuscany – Italy
p: +39-0564-928111
f: +39-0564-935607
e: booking.events@rivadelsole.it
w: www.rivadelsole.it/en

ACTIVITIES:
https://ais2026.icas.events/activities/

Submit your research work today!
https://easychair.org/conferences/?conf=ais20260

See you in the beautiful Tuscany in September!

Best regards,
     AIS 2026 Organizing Committee.

https://ais2026.icas.events
ais@icas.cc

Past Editions:
https://ais2026.icas.events/past-editions/

https://www.facebook.com/groups/2236577489686309/
https://twitter.com/TaoSciences
https://www.linkedin.com/groups/12092025/

AIS 2026 Poster:
https://ais2026.icas.events/wp-content/uploads/sites/37/2025/12/AIS-2026-poster.png

Obviously, this is only a Call for Papers, to have complete and updated information we recommend you access the relevant website: https://ais2026.icas.events

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ESTRATEGIAS de CAPACITACION en la ERA DIGITAL

April 7th, 2026 Daniela Lopez de Luise

Retener al talento, Lograr Beneficios Medibles y Asegurar el Retorno de la Inversión en el Desarroll

Si no lees correctamente este mensaje, haz clic aquí

 

  • IDENTIFICACIÓN DE BRECHAS Y GAP’S

  • DIAGNÓSTICO DE NECESIDADES DE CAPACITACIÓN

  • DISEÑO Y EJECUCIÓN DE PROGRAMAS DE CAPACITACIÓN: MÉTODOS Y TÉCNICAS

  • APLICACIONES DE INTELIGENCIA ARTIFICIAL EN LA CAPACITACIÓN

  • MEDICIÓN DEL IMPACTO DE LA CAPACITACIÓN
     

 INCLUYE UN PACK DIGITAL CON:

  • DNC Diagnóstico de Necesidades de Capacitación
  • Elaboración de un Programa de Capacitación
  • ROI Medición del Impacto y Rentabilidad de la capacitación

  • Diapositivas del Curso

 

CAPACITACIÓN ESTRATÉGICA:

Los programas formativos avanzados, basados en soluciones tecnológicas, habilidades blandas o aprendizaje de procedimientos específicos, estimulan y facilitan el crecimiento corporativo y personal, permiten establecer conexiones
profesionales enriquecedoras dentro de las organizaciones, fomentando el trabajo colaborativo y la personalización en la adquisición de competencias.

La capacitación efectiva y permanente ya no es una opción, es un requisito de competitividad para las organizaciones. Las organizaciones requieren recursos humanos productivos, con alto desempeño laboral y motivados. Es decir, necesitan
personas que sepan y quieran realizar su trabajo. Los continuos cambios en las estrategias, tecnologías, procesos y estructuras de los negocios, obligan a las organizaciones a desarrollar y actualizar permanentemente las capacidades y
competencias de las personas para responder a estos retos de innovación, adaptación y crecimiento. Para ello, deben contar con una estrategia sólida de capacitación que permita desarrollar su capital humano de acuerdo con las
exigencias del mercado.

Este seminario taller le dará a conocer en detalle, cómo implementar un Plan de Capacitación de los Recursos Humanos, moderno, efectivo y medible.

 

OBJETIVOS:

  • Conocer el papel estratégico de la capacitación

  • Identificar las estrategias para elaborar un diagnóstico de necesidades de capacitación

  • Identificar las estrategias para diseñar un plan anual de capacitación

  • Conocer las mejores prácticas para implementar y ejecutar un plan de capacitación

  • Conocer las técnicas para evaluar las diferentes actividades de entrenamiento puestas en el plan

METODOLOGÍA:

  • Este curso se transmitirá en directo, no es una grabación

  • Usted podrá preguntar directamente al Expositor y despejar sus dudas

  • El curso tiene una orientación práctica y aplicativa, usted aprenderá los conceptos clave para que pueda implementar con éxito un Plan Anual de Capacitación en su organización

CONTENIDO DETALLADO
MÓDULO I:
DIAGNÓSTICO ESTRATÉGICO DE NECESIDADES DE CAPACITACIÓN
1. Rol estratégico de la Capacitación
o La capacitación como ventaja competitiva
o Relación con productividad, desempeño y retención del talento
o Alineación con objetivos del negocio

2. Tendencias actuales en Capacitación (2026)
o Upskilling y reskilling
o Modelos basados en competencias (skills)
o Aprendizaje continuo vs capacitación tradicional
o Learning in the flow of work

3. Diagnóstico de Necesidades de Capacitación (DNC)
o Métodos tradicionales: entrevistas, encuestas, focus group, evaluación de desempeño
o Identificación de brechas de competencias
o Factores organizacionales a considerar

4. DNC Moderno Basado en Datos
o Introducción a People Analytics aplicado a capacitación
o DNC predictivo (anticipación de necesidades futuras)
o Uso puntual de IA para análisis de información y detección de gaps

ACTIVIDAD PRÁCTICA
Diseño de un Diagnóstico de Necesidades de Capacitación (DNC)

MÓDULO II:
DISEÑO DEL PLAN ANUAL DE CAPACITACIÓN

1. Estructura del Plan Anual de Capacitación
o Introducción, objetivos y alineación estratégica
o Matriz de capacitación
o Definición de indicadores
o Presupuesto y priorización

2. Diseño por Competencias
o Enfoque basado en skills organizacionales
o Segmentación por niveles y perfiles
o Planes de desarrollo individual (PDI)

3. Estrategias Modernas de Capacitación
o Microlearning
o Blended learning (híbrido)
o Aprendizaje experiencial
o Universidades corporativas

4. Uso práctico de Tecnología e Inteligencia Artificial
o Generación de contenidos formativos
o Personalización de rutas de aprendizaje
o Asistentes virtuales como apoyo al aprendizaje
o Plataformas e-learning (LMS)

ACTIVIDAD PRÁCTICA
Diseño del Plan Anual de Capacitación (Matriz Completa)

 MÓDULO III:
EJECUCIÓN, EVALUACIÓN Y MEDICIÓN DEL IMPACTO

1. Implementación del Plan
o Selección de proveedores y facilitadores
o Gestión de la ejecución
o Seguimiento de actividades formativas

2. Evaluación de la Capacitación
o Modelo de Kirkpatrick (actualizado)
o Evaluación de aprendizaje, transferencia e impacto
o Encuestas de satisfacción

3. Medición moderna del impacto
o Learning Analytics
o Medición en tiempo real
o Uso de dashboards de capacitación

4. Indicadores clave de Capacitación
o ROI (Retorno de inversión)
o ROE (Return on Expectation)
o Indicadores de desempeño y productividad

5. Innovación en capacitación
o Aprendizaje hiperpersonalizado
o IA como tutor de apoyo
o Mejora continua del sistema de capacitación

ACTIVIDAD PRÁCTICA
Diseño de un sistema de evaluación y medición de planes de trabajo
 

 

EXPOSITORA:

MAG. STEFANIE AGUILAR MÁLAGA
 Consultora, Docente y Coach en Gestión Humana Magister en Dirección de RRHH, Universitat de Barcelona, España

 

Founder & CEO de Lidero Consulting. Gestor, docente, consultor, coach ejecutivo y auditor de Gestión Humana con una trayectoria de más de 13 años liderando procesos de RRHH en los sectores más importantes de la economía peruana. En la actualidad, me desempeño como Docente de Post Grado en la Maestría de Dirección de RRHH y Gestión del Talento de la Universitat de Barcelona, la Universidad de San Martín de Porres y de CIDE – PUCP, así como Coordinador Académico de la Universidad Continental.

 

Magister en Dirección de RRHH y Gestión del Talento por la Universitat de Barcelona – España, Coach Neurolinguistico de la International Coaching Institutes de Alemania, Especialista en Habilidades Directivas por la Fundación Universitaria Iberoamericana y Gestor de Recursos Humanos por la USMP Perú. Su misión profesional es contribuir al bienestar y desarrollo de las personas a través de estrategias de Gestión Humana.

 

DIRIGIDO

Gerentes, Jefes y Funcionarios vinculados a la Dirección de los Recursos Humanos, Administración de Personal y Gestión de personas

 

INVERSIÓN
400 + IGV = 472 Soles ó
125 Dólares


Incluye: Diapositivas del Curso, y Certificado Digital

PROMOCIÓN

Por Inscripción y pago hasta el Lunes 13 de Abril

300 + IGV = 354 Soles ó
95 Dólares

Tarifa Corporativa por 3 participantes
750 + IGV = 885 Soles ó
240 Dólares

Participante adicional:
250 + IGV = 295 Soles ó
80 Dólares

FECHA Y HORARIO
15, 16 y 20 Abril

De 7 pm a 10 pm

 

6pm -9pm CENTRO AMÉRICA, MÉXICO
7pm -10pm ECUADOR, COLOMBIA, PERÚ
8pm -11pm BOLIVIA, PARAGUAY, VENEZUELA
9pm -12am ARGENTINA, BRASIL, CHILE, URUGUAY

PARTICIPANTES INTERNACIONALES
Consultar forma de pago online, Aceptamos todas las tarjetas de crédito y débito, y PayPal

FORMA DE PAGO
A nombre de AM BUSINESS SAC
RUC 20466084884

Banco de Crédito SOLES
Nº 1941747021076
CCI 00219400174702107690

Banco de Crédito DOLARES
Nº 1931156680145
CCI: 00219300115668014519

Se aceptan tarjetas de crédito y débito

Servicio de Capacitación sujeto a Detracción (12%)
Banco de la Nación
00-005-001684

 

 

 

INFORMES E INSCRIPCIONES

 

Srta.Ingrid Saldaña
 isaldana86@yahoo.es
 seminarios@amb.pe
 +51 990377216

 

 

Click aquí para Información por WhatsApp

 

 

 

Atendemos

Sábados y Domingos

 
Ge
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CFP: AIxNET 2026, International Conference on Interconnected AI and NETworks 2026

April 6th, 2026 Daniela Lopez de Luise
 

***************************************************************************

 

Call for Papers

 

AIxNET 2026:
 International Conference
 on Interconnected AI and NETworks 2026

Nov. 23-25, 2026 – Paris, France

 

On-site event


 https://aixnet.dnac.org/ 

 

***************************************************************************

 

*** Paper submission deadline: June 20, 2026 ***

 

 

Networks are entering an era where both classical ML and emerging generative and agentic AI are transforming end-to-end networking—from intent capture to closed-loop control across RAN, Core, transport, and edge/cloud. AIxNET welcomes contributions that advance algorithms, architectures, protocols, evaluations, and safeguards for trustworthy, explainable, and safe-to-operate AI-driven networking. We particularly encourage rigorous comparative studies across control layers (SMO/intent vs near-RT vs lower-layer control), and the release of open datasets and artifacts to help the community build together.

AIxNET is intending to build a stimulating, open, dynamic, and friendly forum to co-create the future and spark collaborations across teams. The conference will be a unique opportunity to gather academic and industry research on this crucial topic for 2030 networks. Expect interactive sessions, demos, and time for discussion.

 

Main Topics of Interest include (but are not limited to)

 

  1. Agentic AI: from Human Intent to Action Autonomy

 

  • Networked “xLM” challenges: Intent capture/parsing/policy synthesis at SMO and service layers, use of Large, Small or Machine Language Models (LLM, SLM, MLM)

  • Hierarchical/heterogeneous agents spanning non-RT and near-RT control (e.g., O-RAN RIC), Core CNFs, and edge resources

  • Agentic 6G functions

  • Interconnection and collaboration between AI agents

  • Tool and protocols for network-facing agents (e.g., MCP-enabled clients/servers), conflict resolution, safe rollbacks

 

 

 

  1. New paradigms for networking: from Classical ML to xLM-based Control at Scale

 

  • Supervised/unsupervised/self-supervised learning for prediction, anomaly detection, resource allocation, QoE optimization

  • ML and LLM techniques for scheduling, slicing, mobility, energy saving; cross-domain orchestration across RAN/Core/transport for B5G and 6G

  • Programmable data planes (P4/eBPF) and SDN control plane with ML-in-the-loop; NWDAF-enabled analytics

  • Challenges for access networks and edge networking, use of alternative models, SLM, TRM

  • Architecture and framework for agentic AI networking

  • Data collection and labeling

 

  1. Comparative Designs Across Layers: SMO/Intent vs Near-RT vs Lower-Layer Control

  • Side-by-side evaluations of top-down (intent-driven) vs bottom-up (local) autonomy

  • Responsibility split across SMO policies, RIC xApps/rApps, Core functions, device/edge controllers

  • Stability, latency and safety; arbitration under competing objectives (QoE, energy, cost, SLAs)

  • Cross-layer observability, auditability, and explainability methodologies

 

  1. Explainability and trustworthiness: Bias and Functional Safety

 

  • Human in the loop supervision and autonomy levels for safe operations

  • Explainability for operator oversight (pre/post methods, rationales, provenance, accountability logs)

  • Security and governance for AI-operated changes (access control, authorization, verification, compliance-by-design)

  • Possible Bias sources and mitigation (data, prompts, tools, policies); fairness in resource allocation and service admission

  • Trust, safety and ethical considerations in generative and agentic AI networking

  1. Evaluation, Benchmarks, Open Datasets, and experimentations

 

  • Public datasets/benchmarks for RAN/Core/transport/edge; simulated vs real testbeds

  • Evaluation methodology and built of meaningful KPIs (e.g., relying on MTTR, SLO, energy–QoE trade-offs…)

  • Network performance metric in generative and agentic AI communication systems

  • Digital twins, experimentation platforms, and testbeds for generative and agentic AI networking

  • Reproducible pipelines, artifact sharing, and insightful negative results, robustness to drift

  • Sustainability and cost modeling (e.g., compute budgets, edge vs cloud placement)

 

 

 

 

 

Submission types and guidelines

 

Authors  are  invited  to  submit  original  contributions  that  have  not  been published or  submitted  for publication  elsewhere.  Papers should  be  prepared using the  IEEE 2-column  conference style and  are limited to 8 pages including references for regular papers, 5 pages  including references for short papers and 2-4 pages for Demos/Positions. Papers must be submitted electronically in PDF format through EDAS at: https://edas.info/N35032 

 

Open artifacts are encouraged: release code/data/measurement scripts when possible; otherwise provide high-fidelity synthetic surrogates or detailed reproduction recipes. Comparative studies must clearly state the targeted control layer(s) and report stability/latency/safety metrics alongside performance.

 

For accepted papers to be included on AIxNEt 2026 proceedings, at least one author must register at the Author rate and papers must be presented in-person at the conference by a registered co-author.

 

 

Important dates

 

  • Paper submission deadline: June 20, 2026

  • Paper Acceptance Notification: September 15, 2026

  • Camera-ready: October 5, 2026

  • Conference Date: November 23-25, 2026

 

 

*** TPC Co-Chairs ***

 

Sahar Hoteit (Paris-Saclay University, France)

Chiara  Contoli (University of Urbino, Italy)

 

*** General Co-Chairs ***

 

Stefano Secci (CNAM, France)

Emmanuel Bertin(Orange Innovation, France)

 

 

***************************************************************************

For more info, please refer to the conference website: https://aixnet.dnac.org/ 

 

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Sitio TEYET 2026 y Call TEYET 2026

April 2nd, 2026 Daniela Lopez de Luise
Estimados colegas:

Se encuentra disponible el sitio web de TEYET 2026
https://contenidos.21.edu.ar/microsites/teyet-2026/

La fecha limite para envio de trabajos es el 1/4/26.

TEYET 2026 se realizara el 11 y 12 de Junio en la Universidad Siglo 21 
Sede Córdoba.

Saludos cordiales. Patricia.

Lic. Patricia Pesado
Coordinadora Titular RedUNCI

pdf icon Call-for-Papers-TEYET-2026-Universidad-S21.pdf
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KES 2026 9th – 11th September – Dublin, Ireland

April 2nd, 2026 Daniela Lopez de Luise

CALL FOR PAPERS – KES 2026

30th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 

9-11 September 2026 | Dublin, Ireland

Call for Papers

Since it's inception 30 years ago, the International Conference on Knowledge-Based and Intelligent Information & Engineering Systems has been the go-to event for exploring intelligent systems and their applications. 

With more than 550 attendees and 5 expert speakers in 2025, the annual KES Conference unites our community to connect, educate, inspire and grow. We are honoured to invite you to submit a paper to share your expertise with our community.

KES 2026 will take place in Dublin, Ireland from 9-11 September 2026. The conference encompasses a broad spectrum of intelligent systems related subjects – the conference scope can be found …here… Below are all of the details and deadlines you need to submit your paper.
Conference Website

SUBMISSIONS NOW OPEN

DEADLINES FOR SUBMISSIONS

  • Submission of papers Deadline: The deadline to submit your paper is 13th April 2026.
  • Notification of Acceptance: Your submission will be evaluated by 4th May 2026.
  • Final Publication Files: Your publication files to be received by 1st June 2026.

To submit your paper, please click on the following link.
Submissions now open – Click here to submit

Conference Scope

General Track Sessions:


G1: Machine Learning, Artificial Neural Networks and Deep Learning

This track will cover both machine learning theoretical research and its applications. Contributions describing machine learning techniques applied to real-world problems and interdisciplinary research involving machine learning in different application fields with especial emphasis on the design of those systems, are particularly encouraged.

G2: Knowledge Based and Expert Systems

This track covers knowledge-based systems and expert systems, both theoretical research and its applications. Contributions using techniques in knowledge-based systems and expert systems applied to real-world problems, as well as interdisciplinary research involving knowledge-based systems and expert systems in different application fields, are particularly encouraged.

G3: Intelligent Information and Engineering Systems

This track covers both intelligent information and engineering systems, theoretical research and applications.

Intelligent information and engineering systems is a broad topic and includes contributions describing techniques handling real-world problems. It also includes research involving intelligent information and engineering in different application fields.

The topics of interest include (but are not limited to):

  • Natural Language Processing
  • Agent and Multi-Agent Systems
  • Bio-inspired Systems
  • Nature Inspired Methods and Optimization
  • Image Processing and Signal Processing
  • Machine & Computer Vision
  • Monitoring and Prediction
  • Speech Processing and Synthesis



G4: Industry Applications

This track covers Industry Applications. Contributions describing industry application techniques applied to real-world problems and interdisciplinary research involving industry applications in different application fields, with especial emphasis on industry, are particularly encouraged.

 

Invited Sessions

An invited session consists of a presentation session of 6 to 12 or more papers on a specific conference topic, organised as half or full day mini-conference. We invite senior scientists who have a special interest in a specific conference topic to take responsibility for an invited session, gathering papers from a range of research expertise around the world.  

Researchers who would like to organise one or more Invited Sessions on topics falling within the scope of the conference are invited to submit a proposal for consideration.
Click here to see the full invited session list

Submission Guidelines and Review Process

Authors are invited to submit original, unpublished papers which are not under review for another conference, workshop, or journal by the time of submission. The contributors should address one or more research areas included above.

Detailed submission information is available on the conference page 

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