UNFORTUNATELY THIS SESSION IS CANCELED We are Back with BIU AI & ML Learning Club ! On May 5, Hadar Averbuch-Elor from TAU will give a talk titled : Marrying Vision and Language: A Mutually Beneficial Relationship? Abstract: Foundation models that connect vision and language have recently shown great promise for a wide array of ... Read more
On May 12, Louis Shekhtman from BIU will give a talk titled: Leveraging Big Data and Network Science to understand Philanthropy Abstract: While philanthropic support has increased in the past decade, there is limited quantitative knowledge about the patterns that characterize it and the mechanisms that drive its distribution. Here, we collected over 3 million ... Read more
Google & The BIU Data Science Institute are happy to invite you to the Google Tools for AI and Data Science Research workshop! The workshop is aimed at introducing practical tools for researchers from various academic disciplines, who are engaged or interested in AI and data science. Presented tools include: Gemini, Pinpoint, Trends, and Cloud applications. We'll ... Read more
On May 19, Guy Bar-Shalom from the Technion will give a talk titled: Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Abstract: In the realm of Graph Neural Networks (GNNs), two exciting research directions have recently emerged: Subgraph GNNs and Graph Transformers. We propose an architecture that integrates both approaches, dubbed Subgraphormer, which ... Read more
On May 23, Prof. Gal Chechik Bar-Ilan University will give a lecture on: Learning with visual foundation models for Gen AI Abstract: Between training and inference, lies a growing class of AI problems that involve fast optimization of a pre-trained model for a specific inference task. These are not pure “feed-forward” inference problems applied to ... Read more
On May 26, Dr. Or Litany from the Technion will give a talk titled: Real-to-Sim: Towards interpretable and controllable digital twins Abstract: Do we live in a simulation? Perhaps we should consider the possibility. Replicating real-world observations into a digital twin offers numerous potential benefits. For instance, in autonomous navigation, one could recreate safety-critical scenarios ... Read more