KI und der SLAM-Algorithmus

Der Roboter erkennt die Umgebung und verortet sich in der Karte. Der SLAM-Algorithmus ist die Lösung dafür. Das Problem galt lange als ungelöst. Peter Biber erklärt uns die Grundlagen des Algorithmus. Unser neuer Partner ist die Hannover Messe! Wir sagen DANKE! https://www.hannovermesse.de Noch mehr KI in der Industrie? https://kipodcast.de/podcast-archiv Oder unser Buch KI in der Industrie: https://www.hanser-fachbuch.de/buch/KI+in+der+Industrie/9783446463455 Aus dem aktuellen Teil: Nachhaltige KI https://www.ioew.de/publikation/nachhaltigkeitskriterien_fuer_kuenstliche_intelligenz Elon bei Lex https://www.youtube.com/watch?v=1ltt_L8KGXY Googles Distillation https://ai.googleblog.com/2021/12/training-machine-learning-models-more.html Covid19 und KI https://www.technologyreview.com/2021/07/30/1030329/machine-learning-ai-failed-covid-hospital-diagnosis-pandemic/

Om Podcasten

The Industrial AI Podcast reports weekly on the latest developments in AI and machine learning for the engineering, robotics, automotive, process and automation industries. The podcast features industrial users, scientists, vendors and startups in the field of Industrial AI and machine learning. The podcast is hosted by Peter Seeberg, Industrial AI consultant and Robert Weber, tech journalist.Their mission: Demystify Industrial AI and machine learning, inspire industrial users. The hosts: Peter Seeberg is an Industrial AI and machine learning expert for the manufacturing industry. He worked over 25 years in IT (Intel) and 10 years in Automation. He co-initiated the Industrial Data Intelligence Startup (Softing) where he was responsible for managing machine learning projects in industrial environments. Today he advises companies when it comes to Industrial AI and machine learning. Together with Robert Weber, journalist for industrial topics, he discusses AI and ML applications, standards, and education topics, make or buy decisions as well as regulation for AI in manufacturing.