”Alea iacta est”, says ChatGPT?!

Do we need Robot Rights? On the Relation between Man and Machine

The relationship between man and machine has changed permanently in recent years. Through the developments in the field of machine learning, the biased understanding of technology as „the other“ develops more and more in the direction of a discourse that either takes on eschatological features or describes the worst threat scenarios. Man will either be redeemed through technological singularity or annihilated in a post- or rather anti human machine world. Since its beginnings in the 19th century, however, philosophy of technology has repeatedly offered approaches to a deliberative stance towards this question, whose fundamental goal is the recognition of the relative existential autonomy of technical objects (Gilbert Simondon). The lecture will seek to extend this historical perspective into the present debate.

AI for digital engineering

The digitalization of highly automated plant engineering also creates opportunities for solutions based on AI. The presented approaches demonstrate that functional models can be derived from real measurement data using AI technologies. In addition, the FMI standard can be seamlessly applied based on the AI-generated models.

The Art of the Perfect Twist: Exploring Screw Tightening Processes and Curves

This lecture delves into the analysis of screw tightening processes and the resulting curves produced under various tightening scenarios, emphasizing the importance of domain knowledge, measurement error, and signal-noise considerations. By showcasing a range of examples, we aim to highlight the different parameters that influence the curves generated and stress the necessity of prioritizing competency and technical expertise in the field.

Focusing on the tightening machine’s ability to identify both OK and NOK curves through deterministic criteria, we propose introducing an „OK, but…“ category to provide a more nuanced understanding of the tightening process. This approach involves examining collected data and directing the attention of human experts towards the unclear or unusual segments, thereby facilitating expert decision-making and optimizing the screw tightening process.

We propose the tightening data to be categorized as either “usual” or “remarkable”, with the latter further classified into physiologic and pathologic categories. The lecture will explore various techniques for extracting informative characteristics and classifying patterns, ranging from basic data manipulation to advanced methods like general pattern recognition, feature extraction, and dynamic time warping.

ChatGPT lesson learned. Is the human brain just a giant „Large Language Model“?

ChatGPT opened the door to a new kind of AI. Millions of people use these large language models daily and they are getting more hooked up to it. What were the precursors of ChatGPT? What are the possible future scenarios? Are we summoning a devil?  And what does this tipping point teach us about humans? 

AI for Problem solving 

Utilization of the ChatGPT as a tool&knowledge base for the Problem solving methods.

AI visual inspection is a game changer – from vague slow fuzzy eye surface detection to accurate and speedy performance. The question is: is it better to invest in a 100% non-value-added final inspection supported by 18 neural networks, or to invest in a value-added OEE increase?

Cena je €184 za osobu, studenti zdarma (platba via faktura až do 30. záři)

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