From writing essays to evaluating potential hires, machines are doing a lot these days. In all spheres of life, it seems that machines are being delegated more and more decisions. Some of these machines are being delegated decisions that could have significant impact on human lives. Examples of such machines which have caused such impact
In this lively debate, our researchers Dafna Burema, Mattis Jacobs and Jonas Frenkel from Science of Intelligence will talk about Artificial Intelligence and its ethical implications including examples of AI gone wrong. How do we imagine sustainable futures with robots? What are the open questions scientists face every day when dealing with Artificial Intelligence? Visit
Nature is a great designer. Through billions of years of evolution – of design trial and error (or re-route) – it has come up with uniquely functional and beautiful materials. It uses simple materials in clever ways. Natural materials are often sophisticated in structure and function, yet they are made from simple, abundant resources. More
More details to follow. Photo by DeepMind on Unsplash This talk will take place in person at SCIoI.
At our cluster science slam, scientists try everything to entertain their audience, regardless of whether the subject is e.g. mathematics, neuroscience or active material. The sky is the limit when it comes to what’s possible. Costumes, props, movies, power-point presentations or other experimental setups – it is all allowed. Only time sets the limits –
Abstract: As many of us know by now, Deep Learning has enabled tackling very challenging problems and applications that were previously almost impossible to solve with machine learning. However, for most of the tasks we want to solve with Deep Learning, we need large, if not huge, amounts of data and computing power. This is
Abstract: The BUA-funded experimental knowledge transfer project CollActive Materials, a collaboration between the Clusters of Excellence Science of Intelligence and Matters of Activity, encourages speculation on what the future has in store. Which intelligent materials will pave our tomorrows? How can substances and materials change our world in an intelligent way? What will the world
Abstract: The contents of this presentation will be twofold. In the first part the Centre for Robotics of the Queensland University of Technology (QUT) and its research directions and facilities will be introduced. The research on semantics for the benefit of UAVs, specifically quadcopters, will be highlighted. The second part will contain the personal experiences
Abstract: Learning is a central concept in many scientific disciplines. Communication about research on learning is, however, hampered by the fact that different researchers define learning in different ways. In this talk, we introduce the extended functional definition of learning that can be used across scientific disciplines. We provide examples of how the definition can
Abstract: The aim of SCIoI’s P10 is to investigate how anticipation and prediction shapes social interactions among live and artificial agents using for example the Robofish system. We will outline our research showing the sophisticated anticipation abilities of live fish, as well as how we integrated prediction and anticipation into Robofish’s social interaction behaviors. We
Abstract: The brain is a complex dynamical system with processes operating on different spatial scales. At the macroscopic end one observes global dynamical phenomena, which are called „brain states“ and which are often acompanied by oscillations in different frequency bands or by specific functional connectivity patterns between populations of neuron. A common hypothesis states, that
Abstract: Lack of data and annotations has been the showstopper for machine learning projects when I started my PhD and 15 years later it still is. In my talk, I will give a brief overview of recent models we developed for weakly- and semi supervised as well as for active learning. In addition, we will
Marchstr. 23 – MAR 5-2
10587 Berlin
Email: info@scioi.de
Tel: +49 30 314 77344
