Autonomous Marine Vessels Module
Autonomous Marine Vessels come in many forms that have many applications, e.g.,: -Autonomous Ships -Autonomous Sailing Boats -Autonomous Underwater Vessels
A Centre of Excellence delivering next generation AI Research and Training at the service of Media, Society and Democracy.
Motivated by the challenges, risks and opportunities that the wide use of AI brings to media, society and politics, AI4Media aspires to become a centre of excellence and a wide network of researchers across Europe and beyond, with a focus on delivering the next generation of core AI advances to serve the key sector of Media, to make sure that the European values of ethical and trustworthy AI are embedded in future AI deployments, and to reimagine AI as a crucial beneficial enabling technology in the service of Society and Media.
The AI4Media consortium, comprising 30 leading partners in the areas of AI and media (9 universities, 9 research centres, and 12 industrial partners) and 35 associate members, will establish the networking infrastructure to bring together the currently fragmented European AI landscape in the field of media, and foster deeper and long-running interactions between academia and industry, including Digital Innovation Hubs. It will also shape a research agenda for media AI research, and implement research and innovation both with respect to cutting-edge technologies at the core of AI research, and within specific fields of media-related AI. AI4Media will provide a targeted funding framework through open calls, to speed up the uptake of innovations developed within the network. A PhD programme will further enhance links to the industry and the fostering and exchange of talent, while providing motivation to prevent brain drain, and a set of use cases will be developed by the network to demonstrate the impact of the achieved advances in the media sector. The Excellence Centre that is established during the AI4Media project, and the ecosystem that will grow around it, will provide a long-term basis for the support of AI excellence in Europe, long after the project ends, with the aim of ensuring that Ethical AI guided by European values assumes a global leading role in the field of Media.
Autonomous Marine Vessels come in many forms that have many applications, e.g.,: -Autonomous Ships -Autonomous Sailing Boats -Autonomous Underwater Vessels
Both fixed wing and multicopter UAVs have had a tremendous growth in many applications, such as: -Media Production -Infrastructure Inspection -Surveillance -Semantic mapping -Agriculture inspection -Transportation of goods.
Autonomous Car research and development is booming today, with many companies developing such cars, e.g., TESLA, BMW, MERCEDES, FIAT, TOYOTA, to name a few. Very many application areas emerge from companies like UBER and LYFT, that tend to change the cit...
Automatic Control and Robotics have great applications in Industry, notably in assembly lines and the automation of industrial processes, as well as in medicine and in assisted living. In particular, companion robots are very timely and get a lot of atten...
Autonomous Systems (AS) have nowadays a multitude of applications: -Autonomous Cars -Autonomous Drones -Autonomous Marine Systems (surface, underwater) -Autonomous Robots. In particular, Autonomous Cars and Autonomous Drones and Drone Swarms are ...
3D Computer Graphics and Virtual Reality play a very important role in computer games, TV/media production and in scientific/medical imaging.
3D images are an integral part of scientific imaging, used, e.g., in: -Biomedical imaging (e.g., CT MRI scans) -3D microscopy -Geophysical Prospecting. Furthermore, special types of 3D imaging, notably stereo, are routinely used in 3D cinema and 3...
Nowadays, digital videos are everywhere and revolutionize very many domains, notably: -Digital Media (video/movie) Content Production and Broadcasting, -Social Media Streaming and Analytics (g., YouTube), -Mobile computing and streaming -Videoconfer...
Nowadays, digital images and video are everywhere. Image Processing revolutionizes very many domains, notably: -Digital Media (video/image/movie) Content Production and Broadcasting, Social Media Analytics, -Medical/Biological/Dental Imaging and Diagn...
Our dream to make machines sense and perceive (notably see) comes true: nowadays Computer Vision enables diverse applications: -Autonomous Systems (cars, drones, vessels) Perception, -Robotics Perception and Control, -Intelligent Human-Machine Intera...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: -Autonomous Systems (cars, drones, vessels...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML), notably in Deep Neural Networks (DNNs), which are essentially massive ‘learning by experience/examples’ systems. T...
Nowadays, Artificial Intelligence, notably Advanced Machine Learning (ML) drives scientific and economic growth worldwide. They are essentially massive ‘learning by experience/examples’ systems. However, as our tasks and the world change, such systems sho...
2D Computer Vision and Image Analysis revolutionize very many domains, notably: -Medical/Biological/Dental Image Analysis and Diagnosis, -Autonomous systems perception -Digital Media (video/image) and Social Media Analytics, -Big Visual Data Analyti...
Nowadays, digital images and video are everywhere. Image Processing revolutionizes very many domains, notably: -Digital Media (video/image/movie) Content Production and Broadcasting, Social Media Analytics, -Medical/Biological/Dental Imaging and Diagn...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML), notably in Deep Neural Networks (DNNs), which are essentially massive ‘learning by experience/examples’ systems. T...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML), notably in Deep Neural Networks (DNNs), which are essentially massive ‘learning by experience/examples’ systems. T...
Introduction to Photogrammetric Computer Vision looking into the basic of estimating geometry from images
Machine listening for music and sound analysis is an interdisciplinary field that combines elements of computer science, signal processing, and music theory to develop algorithms and techniques for understanding and extracting meaningful information from ...
Stereotypes in language refer to the biases and generalizations embedded in linguistic expressions, which can perpetuate societal prejudices based on factors like gender, race, ethnicity, or social status. Computational language models, such as OpenAI's G...
The AI community has been focusing on developing fixes for harmful bias and discrimination, through so-called ‘debiasing algorithms’ that either try to fix data for known or expected biases, or constrain the outcomes of a given predictive model to produce...
Biases in data can be both explicit and implicit. A simple two-word phrase can carry strong contestations, and entire research fields, such as post-colonial studies, are devoted to them. However, these sometimes subtle (and sometimes not so subtle) differ...
Synthetic media, encompassing technologies like deep learning and computer vision, has emerged as a transformative concept with profound implications for the news industry. While it offers exciting opportunities for immersive storytelling and creative inn...
Drone vision for infrastructure inspection utilizes unmanned aerial vehicles equipped with cameras and imaging technologies to remotely inspect and monitor buildings, bridges, power lines, and other critical structures. It enhances safety by eliminating t...
Geometric deep learning is an emerging field at the intersection of deep learning and graph theory, aimed at analyzing and processing structured data such as graphs, meshes, point clouds, and manifolds. Traditional deep learning models have primarily focu...
A standard assumption of learning based models is that training and test datashare the same input distribution. However, models trained on given datasets perform poorly when tested on data acquired in different settings. This problem is known as domain sh...
Deep Convolutional Generative Adversarial Networks (DCGAN) have been used to generate highly compelling pictures or videos, such as manipulated facial animations, interior and outdoor images, videos.
Generative Adversarial Networks (GANs) are part of the cutting edge in recent machine learning research. The lectures were presented live by senior or Postdoc researchers from several AI4Media consortium members and collaborators across Europe.
Artificial Intelligence (AI) has revolutionized the field of games, transforming the way we play, design, and experience them. AI in games encompasses a wide range of applications, from character behaviors and decision-making to procedural content generat...
Procedural content generation (PCG) is an increasingly important area of technology within modern human-computer interaction (HCI) design. Personalization of user experience via affective and cognitive modeling, coupled with real-time adjustment of the co...
Computational representation of everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing. Standard practice in emotion annotation is to ask people to assign a value of intensity or a class value to...
Search-Based Procedural Content Generation (SBPCG) refers to a computational approach that leverages search algorithms to create and optimize content in video games or other interactive systems. SBPCG involves generating content, such as levels, maps, puz...
Learning to quantify refers to the process of utilizing supervised learning methods to estimate or measure certain attributes or quantities within data. It involves developing models and algorithms that can accurately predict or assign numerical values to...
Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach, language modeling has...
Recently, ChatGPT, along with DALL-E-2 and Codex ,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and are seeking to uncover the background and secrets behind its impressive pe...
Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model d...
Keyphrase prediction is a significant task in natural language processing that aims to generate concise phrases summarizing a document. Researchers have conducted extensive studies using statistical and deep learning methods, as well as incorporating exte...
Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving predefined targets or fulfilling certain goals from t...
Representation learning techniques in NLP capture meaningful and distributed representations of textual data, known as embeddings. These embeddings enable NLP models to effectively understand semantic and syntactic relationships. Popular methods include w...
Speech and Language Processing is a field at the intersection of computer science, linguistics, and artificial intelligence that focuses on understanding and developing technologies to process and analyze human language. It encompasses various tasks such ...
Many recent advances in natural language generation have been fueled by training large language models on internet-scale data. However, this paradigm can lead to models that generate toxic, inaccurate, and unhelpful content, and automatic evaluation metri...
Video summarization technologies aim to create a concise and complete synopsis by selecting the most informative parts of the video content. Several approaches have been developed over the last couple of decades and the current state of the art is represe...
Manifolds, the higher-dimensional analogs of smooth curves and surfaces, are essential mathematical objects with applications in diverse fields such as classical mechanics, general relativity, and quantum field theory. By combining algebra, topology, and ...
AI Science and Engineering is un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering in a new scientific discipline. It has huge impact on both our society and environment.
AI Science and Engineering is un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering in a new scientific discipline. It has huge impact on both our society and environment.
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: -Autonomous Systems (cars, drones, vessels...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: -Autonomous Systems (cars, drones, vessels...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: -Autonomous Systems (cars, drones, vessels...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: -Autonomous Systems (cars, drones, vessels...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML). Its applications span and revolutionize almost every human activity: -Autonomous Systems (cars, drones, vessels...