ICE Industrial-AI 🧠🤖
Applied Artificial Intelligence
ICE Industrial-AI
Research & Developement Project Partner
Welcome to ICE Industrial-AI — as part of the OST Institute of Computation Engineering ICE the Industrial-AI team focuses on applied industrial artificial intelligence. We bridge cutting-edge AI technologies with real-world industrial challenges to drive innovation, efficiency, and performance. From concept to deployment, we collaborate with industry to create intelligent, future-ready solutions.
Latest from the Blog
Dichtefunktionaltheorie (DFT): Das Arbeitspferd der modernen Materialwissenschaften und Quantenchemie

Dichtefunktionaltheorie (DFT): Das Arbeitspferd der modernen Materialwissenschaften und Quantenchemie

Die Dichtefunktionaltheorie (DFT) ist das Arbeitspferd der modernen Materialwissenschaften und Quantenchemie. Für Ingenieure, die neue Halbleiter, Batteriematerialien oder Katalysatoren entwickeln, ist ein grundlegendes Verständnis der DFT unerlässlich. Dieses Kapitel führt Schritt für Schritt in die theoretischen Grundlagen ein, beleuchtet die quantenmechanische Natur der Teilchen und zeigt, wie sich die Kohn-Sham-Gleichungen mathematisch aus dem Variationsprinzip ableiten lassen.
From Symbols to Meaning: How Modern Language Models Really Work

From Symbols to Meaning: How Modern Language Models Really Work

A history of AI from symbolic systems to transformers, with a debunking of the stochastic parrot critique
Relativistische Effekte passieren schon im Schneckentempo

Relativistische Effekte passieren schon im Schneckentempo
Latest

Die Magnetkraft ist im Wesentlichen die elektrische Kraft, betrachtet aus einem anderen Bezugssystem. Der magnetische Teil der Lorentzkraft ist eine relativistische Manifestation des elektrischen Feldes. Das Versagen der Flussregel bei der unipolaren Induktion unterstreicht die Notwendigkeit, E- und B-Felder als Komponenten eines einzigen relativistischen Objekts zu behandeln: des Faraday-Tensors. Selbst bei den niedrigen Geschwindigkeiten einer Kupferscheibe ist Magnetismus im Grunde ein relativistisches Phänomen.
Latest Events
AI-Stammtisch 6.25

AI-Stammtisch 6.25
Latest

AI-basierte Optimierung von Metall-Membranbälgen
AI-Stammtisch 5.25

AI-Stammtisch 5.25

Ergotherapie & AI: Mit Hilfe von AI zurĂĽck in den Alltag
AI-Stammtisch 3.25

AI-Stammtisch 3.25

Large Language Models for Software Engineering
Latest Projects
KG melding with LLMs

KG melding with LLMs
Starting

The project develops a graph-based representation of the physical world, mapping real objects to nodes with relevant functional attributes. This enables precise task planning and graph-based reasoning about object relationships, supporting exact predictions beyond the capabilities of conventional LLMs. Knowledge graphs are well suited for modeling and querying complex relationships, and this approach extends them by encoding functional properties in node and edge attributes. The method is illustrated in two key domains: robotics, where graphs are already central to task planning, and engineering design, which has recently gained attention through LLMs and generative AI. Despite this potential, challenges remain in how systems are described and represented.

AI LLMs Knowledge Graphs Feedback
Know the flow! Unique Footfall Information as USP in Payment and PropTech

Know the flow! Unique Footfall Information as USP in Payment and PropTech
Finished

Development of a footfall model fed by a unique set of real data in order to generate footfall information in an unknown granularity (time and location), on-demand and as a basis for an ecosystem of location-intelligent products, and services for both implementation partners.

AI
Autonomous Drone System for Precise Localization of Avalanche Victim

Autonomous Drone System for Precise Localization of Avalanche Victim
Finished

Every year, around 100 people die in avalanche accidents in Europe alone. Together with industry partner ANAVIA from Näfels GL, a system is being developed to localise avalanche victims as quickly as possible. The project idea was selected as the winner of the 5th Innovation Boosters Robotics call alongside five other projects.

AI Signal Processing
Latest Publications
Key Vital Signs Monitor Based on MIMO Radar

Key Vital Signs Monitor Based on MIMO Radar
Accepted

Research on advanced optimization techniques for improving efficiency in smart manufacturing environments.

Computer-Aided diagnosis Convolutional Neural Networks Displacement Measurements Machine Learning MIMO Radar Sleep Apnea
Parameter-free Neural Field-based Optimal Design of Nonuniform Transmission Lines

Parameter-free Neural Field-based Optimal Design of Nonuniform Transmission Lines
Conference

This paper presents a novel method for resolution free, free-form shape optimization for nonuniform transmission lines using artificial neural networks. The research introduces an innovative approach that leverages machine learning techniques to optimize transmission line designs without being constrained by traditional parametric limitations..

AI Electronic Design Automation Deep Learning Geometric Representation Learning