Researchers at Seoul National University have recently tried to train an artificial intelligence (AI) agent to create collages (i.e., artworks created by sticking various pieces of materials together), reproducing renowned artworks and other images. Their proposed...
Computer Sciences
An approach to plan the actions of robot teams in uncertain conditions
While most robots are initially tested in laboratory settings and other controlled environments, they are designed to be deployed in real-world environments, helping humans to tackle various problems. Navigating real-world environments entails dealing with high levels...
Study explores the scaling of deep learning models for chemistry research
Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these...
A Hebbian memory that achieves human-like results on sequential processing tasks
Transformers are machine learning models designed to uncover and track patterns in sequential data, such as text sequences. In recent years, these models have become increasingly sophisticated, forming the backbone of popular conversational platforms, such as ChatGPT,
A quantum algorithm for the segmentation of a moving target in grayscale videos
Computer vision algorithms have become increasingly advanced over the past decades, enabling the development of sophisticated technologies to monitor specific environments, detect objects of interest in video footage and uncover suspicious activities in CCTV...
Exploring the connections between Nobel laureates using network science
Network science is the study of the complex relationships and connections underpinning wide datasets, groups of individuals or other systems composed of many interacting parts. This fascinating study of connections can used to create maps and representations of...
A framework for risk-aware robot navigation in unknown environments
An interactive platform that explains machine learning models to its users
Machine learning models are now commonly used in various professional fields, while also underpinning the functioning of many smartphone applications, software packages and online services. While most people are exposed to these models and interact with them in some...
A technique to facilitate the robotic manipulation of crumpled cloths
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...
An energy-efficient object detection system for UAVs based on edge computing
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,...