In recent years, medical researchers have devised various new techniques that can help them to organize and analyze large amounts of research data, uncovering links between different variables (e.g., diseases, drugs, proteins, etc.). One of these methods entails...
Machine learning & AI
Low-cost touch sensor shows promise for large-scale robotics applications
The development of affordable and highly performing sensors can have crucial implications for robotics research, as it could improve perception to help boost robot manipulation and navigation. In recent years, engineers have introduced a wide range of advanced touch...
New data augmentation algorithm could facilitate the transfer of skills across robots
In recent years, roboticists have developed a wide range of systems designed to tackle various real-world tasks, ranging from completing household chores to delivering packages or finding target objects in delineated environments.
A new model for symbolic music generation using musical metadata
Artificial intelligence (AI) has opened new interesting opportunities for the music industry, for instance, enabling the development of tools that can automatically generate musical compositions or specific instrument tracks. Yet most existing tools are designed to be...
LiDAR-based system allows unmanned aerial vehicle team to rapidly reconstruct environments
Unmanned aerial vehicles (UAVs), commonly known as drones, have proved to be highly effective systems for monitoring and exploring environments. These autonomous flying robots could also be used to create detailed maps and three-dimensional (3D) visualizations of...
Computational approach could continually teach robots new skills via dialogue
Task planning framework supports human-robot collaborative furniture assembly
Ensuring that robots can smoothly collaborate with humans in real-world environments is a crucial step towards their large-scale deployment. While some robotic systems are already engaging daily with human agents, for instance at partially automated industrial and...
Car-following model based on reinforcement learning could cut fuel consumption
The transportation sector is still among the main sources of air pollution and climate change on Earth, accounting for approximately 59% of oil consumption and 22% of CO2 emissions. Identifying effective strategies to limit the fuel consumed by vehicles could...
Exploring the fundamental reasoning abilities of LLMs
Reasoning, the process through which human beings mentally process information to draw specific conclusions or solve problems, can be divided into two main categories. The first type of reasoning, known as deductive reasoning, entails starting from a general rule or...
How hardware contributes to the fairness of artificial neural networks
Over the past couple of decades, computer scientists have developed a wide range of deep neural networks (DNNs) designed to tackle various real-world tasks. While some of these models have proved to be highly effective, some studies found that they can be unfair,...