To assist humans during their day-to-day activities and successfully complete domestic chores, robots should be able to effectively manipulate the objects we use every day, including utensils and cleaning equipment. Some objects, however, are difficult to grasp and...
Unmanned aerial vehicles (UAVs), commonly known as drones, are already used in countless settings to tackle real-world problems. These flying robotic systems can, among other things, help to monitor natural environments, detect fires or other environmental hazards,...
For decades, electronics engineers have been trying to develop increasingly advanced devices that can perform complex computations faster and consuming less energy. This has become even more salient after the advent of artificial intelligence (AI) and deep learning...
Since the advent of OpenAI's ChatGPT, large language models (LLMs) have become significantly popular. These models, trained on vast amounts of data, can answer written user queries in strikingly human-like ways, rapidly generating definitions to specific terms, text...
Large language models (LLMs) are an evolution of natural language processing (NLP) techniques that can rapidly generate texts closely resembling those written by humans and complete other simple language-related tasks. These models have become increasingly popular...
Reservoir computing is a promising computational framework based on recurrent neural networks (RNNs), which essentially maps input data onto a high-dimensional computational space, keeping some parameters of artificial neural networks (ANNs) fixed while updating...
Machine learning models can help to solve several real-world problems faster and more efficiently. One among these problems involves synthesizing speech for both animated characters and human speakers based on the movements of their lips.
The recent advent of generative models, computational tools that can generate new texts or images based on the data they are trained on, opened interesting new possibilities for the creative industries. For example, they allow artists and digital content creators to...
Visual place recognition (VPR) is the task of identifying the location where specific images were taken. Computer scientists have recently developed various deep learning algorithms that could effectively tackle this task, letting users know where within a known...
While artificial intelligence (AI) and machine learning tools are now commonly used to enhance technological applications, the underpinnings of many of these tools are hard to decipher. This is because most of them are based on 'black box' models, models that analyze...