Patrick Glauner
Patrick Glauner
Contributor, The Yuan

Patrick Glauner is a full professor of AI at Germany’s Deggendorf Institute of Technology and the Ramon O'Callaghan Professor of Technology Management and Innovation at Woxsen University (India). He runs his own AI consulting firm, He previously worked at CERN, headed the corporate AI competence center at Krones Group, and, as an expert witness, advised the parliaments of France, Germany, and Luxembourg on AI. He ranked among CDO Magazine’s Leading Academic Data Leaders in 2022.

Does AI Act rise to Europe’s challenge in regulating GPT-4?
GPT-4 is promising, but further scrutiny is needed. AI Prof Patrick Glauner presents GPT-4’s key features, puts it into context, and talks the regulatory challenges Europe must tackle in dealing with generative AI models without choking innovation or yielding to the US and China.
Patrick Glauner  |  Apr 11, 2023
Future import of Europe’s latest AI achievements
Europe rules in setting up a pioneering legal framework governing the use of AI. AI Prof Patrick Glauner highlights key developments in Europe - R&D, innovation, startups, and political and regulatory initiatives and their future portent.
Patrick Glauner  |  Jan 30, 2023
The Yuan 2023: What to expect from 2023 worldwide
The Yuan AI 2023
Given everything that has happened in 2022, both in AI and in other domains worldwide, there will be plenty in store for AI in 2023, from military applications and quantum computing to regulatory frameworks and greater energy efficiency. As a recession looms and many Big Tech firms continue to lay off workers, AI startups stand to benefit from an influx of talent onto the market, raising the possibility that 2023 will be the year when significant future AI players are born.
Patrick Glauner  |  Dec 30, 2022
Open Medical Data - The European Strategy: a waste of time or due diligence?
Europe is a top AI player but is also notorious for regulation. This third episode of the Delta Dialog talks Europe’s open medical data and AI. The tech is new, so rules and policy lag. The European Health Data Space, Data Act, GDPR and new AI Act thus all demand major attention.
Delta Dialog  |  Dec 18, 2022
Small sample size problems: learning from very few training examples
Domain knowledge
Conventional wisdom often holds that huge amounts of data are necessary to train models and algorithms to make them more accurate. However, this is not always feasible. Sometimes one must figure out how to learn and do the best one can from data that are available, even if they are not ideal.
Patrick Glauner  |  Dec 02, 2022
Rethinking radiology by mixing AR, ML
New era
The medical applications of virtual reality and augmented reality have received growing attention in recent years, enabling automated medical imaging and reducing costs and time spent.
Patrick Glauner  |  Nov 21, 2022
More data is better? Bias in big datasets impacts ML models
AI professor and entrepreneur Patrick Glauner takes a look at why more data is not always better, suggesting addressing biases and other underlying shortcomings is more important than simply broadening sample sizes or increasing the amount of data analyzed.
Patrick Glauner  |  Oct 24, 2022
AI in mechanical engineering is more than just predictive maintenance
Domain knowledge
AI is increasingly being applied to the field of mechanical engineering, and now its applications go beyond simply predicting when and how problems might occur. Patrick Glauner, AI professor and consultant, takes a look at current developments and what the near future might hold.
Patrick Glauner  |  Sep 02, 2022
Recent developments in the AI Act and its future timeline
Emerging markets
Due to the emergence of AI and the ever more key role it plays, lawmakers argue that there is an urgency of crafting a comprehensive regulatory framework for it. Europe seeks to pioneer this area via its AI Act, but will need inbuilt flexibility and adaptability, or it risks doing more harm than good.
Patrick Glauner  |  Aug 08, 2022
Rocky road besets Europe’s bid to open medical data
Open Data 2022
AI has started to disrupt healthcare by providing better patient care while also cutting waiting times and costs. Prof Patrick Glauner expounds on the importance of open medical data in modern AI-based healthcare, the European Health Data Space and the Data Act, as well as various regulatory challenges as he wades into the fray in the debate in The Yuan’s Open Medical Data series.
Patrick Glauner  |  Jun 28, 2022
Achieving Success With AI Projects
Prof Patrick Glauner takes a close look at the ranks of firms that have invested in AI and reveals why some 80 percent of them fail. He analyzes what companies should be doing to use AI more effectively.
Patrick Glauner  |  May 03, 2022
AI Is on the Narrow Trail to Accelerate Climate Change
Prof Patrick Glauner acknowledges that one of the greatest challenges facing mankind is climate change, and discusses the technical innovations that will be pivotal in helping to cut and avoid emissions, while also making sure that such new technologies do not contribute to climate change.
Patrick Glauner  |  Apr 22, 2022
AI Detective Lets Utilities Lift the Lid on Electricity Theft
Electricity theft is the criminal act of using electrical power without paying compensation. Its global cost is some US$96 billion every year. Help is at hand, however, in the shape of artificial intelligence, as Prof Patrick Glauner investigates.
Patrick Glauner  |  Mar 14, 2022
Bridging the Gap Between Academia and Industry in AI
Domain knowledge
Prof Patrick Glauner reveals the major gap between how artificial intelligence is taught at universities and real-world requirements in industry, how universities should enhance the employability of students, and how German Universities of Applied Sciences collaborate with industry to prepare students for the challenges they will face upon graduation.
Patrick Glauner  |  Feb 21, 2022
Does Quantum Computing Live up to the Hype?
Quantum computing is a rapidly-emerging technology that harnesses the laws of quantum mechanics to solve problems far too complex for classical computers. It is predicted to become even faster and work out even more sophisticated scientific equations in future. Prof. Dr Patrick Glauner acknowledges the promise in quantum computing but believes far too many obstacles still remain to overcome before it takes the place of conventional computers.
Patrick Glauner  |  Nov 08, 2021
The EU Has No Clear AI Strategy
The European Commission published an AI Act to create a legal framework for artificial intelligence within the European Union. Many believe the document is too broad, will lead to overregulation, and lacks a clear strategy.
Patrick Glauner  |  Oct 18, 2021