Zobrazeno 1 - 10
of 475
pro vyhledávání: '"Weber, Daniel P."'
Autor:
Weber, Daniel
Robots are becoming increasingly popular in a wide range of environments due to their exceptional work capacity, precision, efficiency, and scalability. This development has been further encouraged by advances in Artificial Intelligence, particularly
Externí odkaz:
http://arxiv.org/abs/2312.07638
Since the initial discovery of Meltdown and Spectre in 2017, different variants of these attacks have been discovered. One often overlooked variant is Meltdown 3a, also known as Meltdown-CPL-REG. Even though Meltdown-CPL-REG was initially discovered
Externí odkaz:
http://arxiv.org/abs/2310.04192
The transient-execution attack Meltdown leaks sensitive information by transiently accessing inaccessible data during out-of-order execution. Although Meltdown is fixed in hardware for recent CPU generations, most currently-deployed CPUs have to rely
Externí odkaz:
http://arxiv.org/abs/2310.04183
Autor:
Di Paola, Cono, Plekhanov, Evgeny, Krompiec, Michal, Kumar, Chandan, Marsili, Emanuele, Du, Fengmin, Weber, Daniel, Krauser, Jasper Simon, Shishenina, Elvira, Ramo, David Muñoz
Hydrogen has emerged as a promising energy source, holding the key to achieve low-carbon and sustainable mobility. However, its applications are still limited by modest conversion efficiency in the electrocatalytic oxygen reduction reaction (ORR) wit
Externí odkaz:
http://arxiv.org/abs/2307.15823
Information systems increasingly leverage artificial intelligence (AI) and machine learning (ML) to generate value from vast amounts of data. However, ML models are imperfect and can generate incorrect classifications. Hence, human-in-the-loop (HITL)
Externí odkaz:
http://arxiv.org/abs/2307.03003
For successful deployment of robots in multifaceted situations, an understanding of the robot for its environment is indispensable. With advancing performance of state-of-the-art object detectors, the capability of robots to detect objects within the
Externí odkaz:
http://arxiv.org/abs/2303.00423
Autor:
Meyer, Josh, Adelani, David Ifeoluwa, Casanova, Edresson, Öktem, Alp, Weber, Daniel Whitenack Julian, Kabongo, Salomon, Salesky, Elizabeth, Orife, Iroro, Leong, Colin, Ogayo, Perez, Emezue, Chris, Mukiibi, Jonathan, Osei, Salomey, Agbolo, Apelete, Akinode, Victor, Opoku, Bernard, Olanrewaju, Samuel, Alabi, Jesujoba, Muhammad, Shamsuddeen
BibleTTS is a large, high-quality, open speech dataset for ten languages spoken in Sub-Saharan Africa. The corpus contains up to 86 hours of aligned, studio quality 48kHz single speaker recordings per language, enabling the development of high-qualit
Externí odkaz:
http://arxiv.org/abs/2207.03546
In human-robot collaboration, one challenging task is to teach a robot new yet unknown objects enabling it to interact with them. Thereby, gaze can contain valuable information. We investigate if it is possible to detect objects (object or no object)
Externí odkaz:
http://arxiv.org/abs/2203.15651
Reinforcement learning (RL) is a promising, upcoming topic in automatic control applications. Where classical control approaches require a priori system knowledge, data-driven control approaches like RL allow a model-free controller design procedure,
Externí odkaz:
http://arxiv.org/abs/2201.13331
In this paper we present GroupGaze. It is a tool that can be used to calculate the gaze direction and the gaze position of whole groups. GroupGazer calculates the gaze direction of every single person in the image and allows to map these gaze vectors
Externí odkaz:
http://arxiv.org/abs/2201.07692