At eProsima, we recognize the importance of exploring new mathematical and computational approaches in Artificial Intelligence. That’s why we are excited to highlight ALTAI2025, an interdisciplinary meeting that will bring together mathematicians, computer scientists, and neuroscientists to discuss and develop alternative methodologies in AI.
The Champalimaud Foundation is organizing the Alternative Mathematical Approaches in AI meeting (ALTAI2025). This event will serve as a platform for experts to exchange ideas on emerging techniques that go beyond conventional AI models.
Topics of discussion will include:
🔹 Physics-Inspired Machine Learning
🔹 Quantum Machine Learning
🔹 Algebraic Machine Learning (AML)
🔹 Neurosymbolic & Symbolic AI
🔹 Probabilistic & Bayesian Methods
…and many more innovative approaches shaping the future of AI.
By fostering collaboration between theoretical and applied AI researchers, ALTAI2025 aims to push the boundaries of AI methodologies and inspire new breakthroughs in the field.
📅 Event Dates: 3 - 4 February 2025
📍 Location: Champalimaud Foundation, Portugal
📝 Registration Deadline: 17 January 2025
🔗 More information and registration: https://lnkd.in/dKDH8ems
At eProsima, we are proud to contribute to this space through projects like Algebraic Machine Learning and Fast DDS, supporting the research community with high-performance middleware solutions.
Stay tuned for more updates as we continue to drive innovation in AI and open-source technologies!
#AI #MachineLearning #Mathematics #Research #Innovation #FastDDS #AML #ALTAI2025 #NeurosymbolicAI #QuantumML #OpenSource
MORE INFORMATION ABOUT ALMA:
For any questions please contact
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952091.