Keynote speakers and relator: Keynote speakers and relator: Alan Radley. Perspective Research Centre (UK), Jaap van Till. Delft University and HAN Polytechnic (the Netherlands), and F.co V. Cipolla Ficarra (Research-in-Progress and Books presentation).

:: Predictive Artificial Intelligence Memory-Based Characterisation of Spatial Reality using LLM Video Data for Application to Autonomous Vehicles and Humanoid Robotic Systems

A new class of artificial intelligence vision system produces, in real time, a logical description of what is, can, or, in all likelihood, will happen in a physical reality. The system uses video and synthetic 3-D data models to train robotic vision systems across millions of supposedly ‘low probability’ edge cases. But as a collective, edge cases happen all the time, and our system memorises each one. Whereby encyclopaedic datasets mitigate uncertainty by assigning likelihood-of-success values to future action potentials. Humans must constantly predict the future as they interact with the world, and humanoid robots and autonomous systems must do likewise.

Our method uses training data from millions of videos and/or synthetic 3-D data models to produce encyclopaedic datasets that characterise every possible real- world situation, thereby enabling the prediction of the most advantageous robot actions. Our approach is based on visual/optical perspective and conceptual modelling. Comprehensive LLM training datasets enable precise characterisation of every eventuality, thereby predicting the likely safest and most advantageous actions for the robot. As part of this approach, we seek to identify many millions of otherwise unrecognised and supposedly low-probability ‘edge-cases’, such as when a person steps out from behind a bus and causes an overtaking car to swerve/crash, rather than recognising the situation ahead of time and simply slowing down.

Automated systems must also model a vast space of potential actions for other humans/robots and the likely consequences of acting/not acting in response to each scenario, not least for the safety of all parties involved. Training robots in visual perspective, and appropriate conceptual modelling, is the only way that AI systems can access the ‘long-tail’ of edge case eventualities, being cases that, in point of fact, are not rare, but are always happening because most real-world situations are only partially unique, and typically have much in common with past scenarios, and thus have, in a sense, already happened. Ergo, we commend the memory-based predictive AI solution as the only safe, practical, and assured way for robotic vision systems to operate.

:: The Roots of Human Communicability in the Face of the Expansion of Artificial Communication

In a review of Professor Kim H. Veltman's work: "Alphabets of Life", we seek to broaden his perspective to include communication between humans and humanoid robots. The text contrasts the process of human enculturation in the internet age with the current transculturation of human beings, with technological devices that incorporate artificial intelligence. From a theoretical perspective, it seeks to establish a parallel between "Alphabets of Life" that have evolved over the centuries and those artificially generated by members of various generations from the last century to the present day.

:: Is Local Culture still a Driver of International Tourism?

One of the common denominators in reports on Generation Z's relationship with cultural heritage is a lack of focus on historical information related to buildings, monuments, paintings, etc., of historical significance. This problem implicitly raises the rhetorical question of the presentation, considering the European population pyramid. Currently, those born in the 20th century continue to be the driving force behind cultural travel, as they maintain an interest in visiting the places, works of art, and so on, that they have studied since childhood. Studies related to "smart tourism" only address statistical issues such as the best times to avoid crowds, for example, when accessing archaeological sites, art galleries, etc., or the best days of the week to reduce the costs of renting individual transportation or for social entertainment, for example. However, "smart apps" are not motivating Generation Z to make their travels more than just a statistical data among the total number of tourists arriving in a city. Therefore, we present some key strategies to reverse this situation for future "cultural tourists."

Official Language: English. Additional Languages: Italian and Spanish

[ May 20 ]

Registration

Welcome
Cultural Heritage and Tourism –London, UK

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[ May 21 ]

10:00 – 10:15
Registration – Remarks

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Excursion: Cultural Heritage in London City

[ May 22 ]

10:00 – 10:15
Registration – Remarks

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Excursion: Cultural and Natural Heritage in England (UK)