Sepp Hochreiter

Sepp Hochreiter, the mastermind behind LSTM networks and founder of NXAI, shares insights from his journey in AI. He discusses the potential of XLSTM for robotics and industrial simulation. Hochreiter critiques Large Language Models' shortcomings in true reasoning and creativity. He emphasizes the need for hybrid approaches that integrate symbolic reasoning with neural networks. His reflections on the evolution of neural architectures reveal the exciting advancements in memory management and processing efficiency, hinting at a transformative future for AI.

In this discussion, Sepp Hochreiter, a pioneer in advanced language models, shares insights from the NeurIPS conference. He reveals exciting details about the xLSTM 7B model, emphasizing its efficiency and unique features that differentiate it from typical LLMs. The conversation dives into the evolving landscape of AI in Europe, touching upon challenges and innovations that balance human creativity with technology. Hochreiter also discusses the rapid advancements in machine learning, particularly regarding the energy efficiency and speed of new frameworks.

Paul Feigelfeld, Professor für Kultur- und Medienwissenschaften, diskutiert die ethischen Implikationen von KI in Kunst und Kreativwirtschaft. Er warnt, dass KI zwar kreativ sein kann, jedoch nicht fühlen kann. Sepp Hochreiter, KI-Experte, äußert sich skeptisch zu humanoiden Robotern und meint, diese könnten gefährlich sein. Beide beleuchten die Herausforderungen, die KI im Alltag und in der Medienlandschaft mit sich bringt, und fordern ein kritisches und verantwortungsvolles Vorgehen im Umgang mit dieser Technologie.

In diesem Gespräch teilen Sepp Hochreiter, Professor für KI an der Johannes Kepler Universität Linz, und Florentina Zach, TÜV-zertifizierte KI-Beraterin und Gründerin des Austrian Institute for AI, ihre Einsichten zur KI-Reife Österreichs. Hochreiter spricht über den Rückstand der Wirtschaft und die Herausforderungen in Forschung und Talententwicklung. Zach betont die Bedeutung von Weiterbildung und Microlearnings für Unternehmen. Gemeinsam beleuchten sie die Chancen der KI-Industrialisierung und den Bedarf an kreativen Lösungen für lokale Herausforderungen.

Sepp Hochreiter ist ein führender KI-Forscher an der JKU Linz und Experte für neuronale Netze, während Florentina Zach die erste TÜV-zertifizierte KI-Beraterin Österreichs ist und das Austrian Institute for AI gegründet hat. Sie diskutieren die Herausforderungen und Chancen der KI in Österreichs Wirtschaft. Hochreiter beleuchtet die Talentabwanderung in der Forschung und erklärt die drei Phasen der KI-Entwicklung. Zach betont die Notwendigkeit von Re-/Upskilling und praxisorientierter Ausbildung, um die KI-Reife des Landes zu steigern.

Sepp Hochreiter, the inventor of Long Short-Term Memory (LSTM) networks and founder of NXAI, dives into the world of AI with insights from his pioneering work. He discusses the origins of LSTMs and their critical role in processing sequence data like speech and text. Sepp compares LSTMs to the newer transformer models, exploring their ongoing relevance, especially in real-time robotics. He shares his optimistic vision for AI's future, emphasizing efficiency and scalability as key to revolutionizing industries such as healthcare and autonomous vehicles.

Sepp Hochreiter, a researcher in LLM alternative architecture, discusses the advancement of XLSTM, the significance of context length in language models, the exploration of XLSTM potential and IP rights in Europe, and the evaluation of methods and abstract reasoning. The potential applications of large language models for companies are also explored.

Sepp Hochreiter, a pioneer of LSTM and head of the Institute for Machine Learning at Johannes Kepler University, discusses TiRex, a revolutionary time series model surpassing industry giants like Amazon and Google. He explains the evolution of LSTM to XLSDM, emphasizing its strengths in forecasting. TiRex is designed for user-friendly industrial applications with impressive speed and accuracy. Hochreiter also compares TiRex with competitors and shares insights on job opportunities for those eager to join the innovative team in Linz.

Sepp Hochreiter, a pioneer behind the LSTM model, and Alan Akbik, an expert in NLP, dive into the fascinating world of large language models. They discuss the evolution of language models and the promising potential of XLSTMs in AI coding. The conversation highlights the advantages of LSTMs versus transformers and introduces XLCMs, emphasizing their role in generative AI. They also touch on the cultural barriers to applying AI innovations in Europe, and the balance needed between AI use and traditional academic practices.

Prof. Dr. Sepp Hochreiter discusses xLSTM, the European answer to ChatGPT and Co. He compares xLSTM to transformers, highlighting its speed and parallel word processing capabilities. The advantages and limitations of LSTM and the introduction of xLSTM as an improved version are explored. Criticism surrounding large language models and the goal of securing 300 million euros for the project are discussed. The structural differences between LSTM and xLSTM and their potential in engineering applications are also explored.