Artificial intelligence (AI) tools have proved to be highly valuable for completing a wide range of tasks. While they are primarily used to increase productivity or simplify everyday processes, they have also shown promise for automatically generating creative texts...
As artificial intelligence and deep learning techniques become increasingly advanced, engineers will need to create hardware that can run their computations both reliably and efficiently. Neuromorphic computing hardware, which is inspired by the structure and biology...
Recent technological advances, such as the development of increasingly sophisticated machine learning algorithms and robots, have sparked much debate about artificial intelligence (AI) and artificial consciousness. While many of the tools created to date have achieved...
Combinatorial optimization problems are complex problems with a discrete but large set of possible solutions. Some of the most renowned examples of these problems are the traveling salesman, the bin-packing, and the job-shop scheduling problems.
Video-conferencing platforms such as Skype, Microsoft Teams, Zoom and Google Meet allow people to communicate remotely with others in different parts of the world. The COVID-19 pandemic and the social distancing measures that followed led to a further rise in the use...
Researchers at Shanghai Jiao Tong University, University of Oxford, and the Tencent Robotics X Lab have recently introduced a configuration-aware policy for safely controlling mobile robotic arms. This policy, introduced in a paper pre-published on arXiv, can help to...
Deep learning models have proved to be highly promising tools for analyzing large numbers of images. Over the past decade or so, they have thus been introduced in a variety of settings, including research laboratories.
Efficiently processing broadband signals using convolutional neural networks (CNNs) could enhance the performance of machine learning tools for a wide range of real-time applications, including image recognition, remote sensing and environmental monitoring. However,...
Recent technological advances have enabled the creation of increasingly sophisticated sensors that can track movements and changes in real-world environments with remarkable levels of precision. Many engineers are now working to make these sensors thinner so that they...
Researchers at University of Bologna and Electrolux have recently developed a new robotic system that could assist humans with one of their most common everyday chores, doing laundry. This system, introduced in a paper published in SpringerLink's Human-Friendly...