Adversarial audio attacks are small perturbations that are not perceivable by humans and are intentionally added to audio signals to impair the performance of machine learning (ML) models. These attacks raise serious concerns about the security of ML models, as they...
Evolutionary algorithms (EAs) are designed to replicate the behavior and evolution of biological organisms while solving computing problems. In recent years, many researchers have developed EAs and used them to tackle a variety of optimization tasks.
In recent years, researchers have proposed a wide variety of hardware implementations for feed-forward artificial neural networks. These implementations include three key components: a dot-product engine that can compute convolution and fully-connected layer...
BERT, a transformer-based model characterized by a unique self-attention mechanism, has so far proved to be a valid alternative to recurrent neural networks (RNNs) in tackling natural language processing (NLP) tasks. Despite their advantages, so far, very few...
To evaluate the performance of robotics algorithms and controllers, researchers typically use software simulations or real physical robots. While these may appear as two distinct evaluation strategies, there is a whole other range of possibilities that combine...
To effectively navigate their surroundings, robots typically plan paths based on pre-designed maps of the environment they are operating in and observations gathered by their sensors. While this type of navigation strategy can be useful in simple and static...
Nature can be a precious source of inspiration for researchers developing robots and artificial intelligence (AI) systems. Studies in submersible robotics, for instance, have often tried to replicate or incorporate mechanisms observed in aquatic life, such as fish...
Advancements in robotics and artificial intelligence (AI) are enabling the development of artificial agents designed to assist humans in a variety of everyday settings. One of the many possible uses for these systems could be to escort humans or valuable goods that...
Identifying the correct answer to a question often entails gathering large amounts of information and understanding complex ideas. In a recent study, a team of researchers at New York University (NYU) and Facebook AI Research (FAIR) investigated the possibility of...
Researchers at Oxford University have recently tried to recreate human thinking patterns in machines, using a language guided imagination (LGI) network. Their method, outlined in a paper pre-published on arXiv, could inform the development of artificial intelligence...