14.01.2024
©Oliver Jung - LMU
Polyglot Machines - How Artificial Intelligence Learns the Rich Variety of Human Languages
Insights From Our PI Hinrich Schütze in LMU Research Magazine Einsichten
In this article our PI Hinrich Schütze shares insights into the challenges of automatic translation using AI technology.
The focus lies on the difficulty of training AI models to handle various languages, especially those with limited training data. Professor Schütze also emphasizes current issues such as bias and hallucinations in AI, working on integrating a "Working Memory" to enhance factual accuracy in responses and enable more effective use of AI in language processing.
«In our field, we’re living in fascinating times. Suddenly, intelligences have developed that nobody can really explain.»
(H. Schütze)
14.01.2024
Related
©© LC Productions/LMU
26.06.2025
Every Household Needs a “Digital Chimney Sweep”– Insights From Johannes Kinder
MCML Associate Johannes Kinder highlights the security risks of smart devices in homes, emphasizing the need for regular updates and user awareness.
©Florian Generotzky / LMU
01.04.2025
AI as Co-Pilot
AI tools by Stefan Feuerriegel’s team at LMU support public decision-making, aiming for efficiency, transparency, and human control.
©Astrid Eckert / TUM
31.03.2025
Robot Jack Navigates Like a Human – A Project Led by Angela Schoellig
Angela Schoellig’s team at TUM developed robot Jack, which navigates safely through crowds using human-inspired motion planning.
©TUM
18.03.2025
New Method Significantly Reduces AI Energy Consumption
Felix Dietrich and his team at TUM developed a new method that significantly reduces AI energy consumption, making AI more efficient and sustainable.
