Abstract: Self-supervised learning (SSL) consists in training neural network systems without using any human annotations. Typically, neural networks require large amounts of annotated data, which have limited their applications in

Abstract Machine learning models have achieved stunning successes in the IID setting. Yet, beyond this setting, existing models still suffer from two grand challenges: brittle under covariate shift and inefficient

Abstract: What is perception? The most intuitive and influential answer to this question has long been the one given by David Marr: To see the world is “to know what

Abstract: The brain performs critical calculations on visual information as we swiftly, yet effortlessly, navigate around objects and obstacles in our cluttered environment. Perhaps one of the most important calculations

Abstract: The world is modular. So – intuitively – it seems clear that cognitive systems that deal with the world should benefit from a modular architecture. Simple or less important

The talks will be held by Arinze Lawrence Folarin, "My 175 days journey in Berlin"; Juliana T.C. Marcos "GSEP Internship: More than a research experience in neuromorphic vision at SCIoI";

The talks will be held by Emmanuel Ousu Ahenkan and Tatiana Ngoli Moteu Marcos. The Zoom Link will be sent the day before the lecture.

Meet Philipp Semmer and Frederic du Bois-Reymond, both partners at the venture capital firm Earlybird UNI-X. They will talk about funding for university spin-offs and why they believe that scientist

Abstract: One of SCIoI's goals is to establish and evaluate synthetic models for biological data. Achieving this goal is clearly beneficial not only to produce more capable artificial behavior, but