Industrial AI Podcast
Ein Podcast von Robert Weber / Peter Seeberg - Donnerstags
Kategorien:
289 Folgen
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GPT for industrial use cases and LLMs on the edge
Vom: 5.4.2023 -
GPT plugins, Risk Classification Database for Industrial AI, farewell to G. Moore and Cybersecurity for ML Models
Vom: 29.3.2023 -
Festo IO conference: What is Fetch.ai - a crypto, an ecosystem for ML or both?
Vom: 22.3.2023 -
Festo IO conference: MLOps is a buzzword, but...
Vom: 15.3.2023 -
Due-diligence for industrial AI startups
Vom: 8.3.2023 -
Why do you call TabPFN a revolution for data science?
Vom: 1.3.2023 -
Industrial AI and Motion Control - how do we reduce engineering time?
Vom: 22.2.2023 -
LSTM for ABB's Augmented Operator
Vom: 15.2.2023 -
How an Ex-MAN-employee uses reinforcement learning for factories
Vom: 8.2.2023 -
SDK for machine learning on the edge
Vom: 1.2.2023 -
More than an interface for open source AI-tools - what is AIUI?
Vom: 25.1.2023 -
IABG: How to safeguard AI?
Vom: 18.1.2023 -
What is Volkswagen's AI research working on?
Vom: 11.1.2023 -
The Festo AI strategy on products and processes
Vom: 21.12.2022 -
NeurIPS Special - more than ChatGPT
Vom: 14.12.2022 -
How do you make data accountable? With an AI model.
Vom: 7.12.2022 -
Use case: Industrial AI and the saw doctor
Vom: 30.11.2022 -
Control cabinets, connectors, PLCs and Industrial AI
Vom: 23.11.2022 -
Munich Re: Insure AI?
Vom: 16.11.2022 -
Why is causality important for artificial intelligence?
Vom: 9.11.2022
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.
