Uploaded by AUTH This lecture will cover recent advances in methodologies to forecast quantities using deep neural networks with applications to autonomous agents, video streaming and network traffic forecasting. We first briefly introduce sequence prediction problems introducing the main architectural choices, such as RNNs, LSTMs and Transformers. Then we will delve into forecasting of agent… Continue reading Looking into the Future: Forecasting Quantities with Deep Learning
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Cyberphysical AI: Towards a (Robot) AI Scientist
Uploaded by AUTH Toward A(G)I, whatever definition one chooses for AGI, the main effort is finding the best possible self-supervised, unsupervised, and supervised objectives that scale to the foundation level. Taking a step back, some broader questions arise naturally. Are these objectives teaching our machines how the world looks or how we humans look at… Continue reading Cyberphysical AI: Towards a (Robot) AI Scientist
Trustworthy Machine Learning in Multimodal AI Applications: Case Studies and Perspectives
Uploaded by AUTH Machine learning and deep learning models are the main engines in many multimodal AI applications, which are characterized by the fusion of multiple modalities of data streams. In this lecture, we highlight the trust and robustness challenges of machine learning that arises from data fusion. To do so, we present several case… Continue reading Trustworthy Machine Learning in Multimodal AI Applications: Case Studies and Perspectives
What is AI
Lecture in greek Abstract: The stakes of this lecture are as follows: Can an ordinary person having a high school education and genuine interest understand the basic principles of Artificial Intelligence in just an one-hour lecture? If so, there is hope that she/he can comprehend the current AI Science advances and become an informed citizen… Continue reading What is AI
Flood region segmentation on drone images
Climate change has increased the frequency and severity of flooding, presenting significant challenges for Natural Disaster Management (NDM). Effective emergency response depends on the timely detection of flooded areas and critical objects. Advanced Deep Neural Networks (DNNs) are applied for flood region segmentation and object detection, specifically focusing on persons, vehicles, and house roofs in… Continue reading Flood region segmentation on drone images
Privacy Protection in Natural Disaster Management
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