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
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Sarah Ball's Research Featured on on the LLM Cybersecurity Podcast
Sarah Ball's research was featured on the LLM Cybersecurity podcast, emphasizing its impact on AI and cybersecurity fields.
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Fabian Theis Discusses AI’s Impact on Healthcare
In the "Science Date" segment on "NANO," Fabian Theis discusses AI's role in biomedical data analysis and its future impact on healthcare.
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Angela Dai Is Advancing Automotive Design With Artificial Intelligence
Our PI Angela Dai develops AI technologies for efficient automotive design, reducing costs and enhancing sustainability through innovative algorithms.
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Merry Christmas and a Happy New Year 2025
Season’s Greetings from the entire team at the Munich Center for Machine Learning
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17.12.2024
Daniel Rückert Advances Stroke Diagnosis With AI Innovation
Under Daniel Rückert’s leadership, AI now accurately determines stroke timing, enabling better treatment decisions and improved patient outcomes.