Consumer & Gadgets
Academic papers often contain accounts of new breakthroughs and interesting theories related to a variety of fields. However, most of these articles are written using jargon and technical language that can only be understood ...
Computer Sciences
Researchers at the University of Sfax, in Tunisia, have recently developed a new method to recognize handwritten characters and symbols in online scripts. Their technique, presented in a paper pre-published on arXiv, has ...
Robotics
In recent years, a growing number of researchers have explored the use of robotic arms or dexterous hands to solve a variety of everyday tasks. While many of them have successfully tackled simple tasks, such as grasping or ...
Machine learning & AI
Arthur Jacobs, a professor and researcher at Freie Universität Berlin, has recently developed SentiArt, a new machine learning technique to carry out sentiment analyses of literary texts, as well as both fictional and non-fictional ...
Machine learning & AI
A team of researchers at the University of North Carolina at Chapel Hill and the University of Maryland at College Park has recently developed a new deep learning model that can identify people's emotions based on their walking ...
Machine learning & AI
Over the past decade or so, convolutional neural networks (CNNs) have proven to be very effective in tackling a variety of tasks, including natural language processing (NLP) tasks. NLP entails the use of computational techniques ...
Robotics
According to a survey released by the U.S. Census Bureau, around 12.3 million Americans require assistance with activities of daily living (ADLs) or instrumental activities of daily living (IADLs), one of which is feeding. ...
Computer Sciences
When participating in a video call or conference, it is often hard to maintain direct eye contact with other participants, as this requires looking into the camera rather than at the screen. Although most people use video ...
Machine learning & AI
Researchers at the USC Information Sciences Institute (ISI) in California have recently carried out a study investigating whether completing obstructed faces using artificial neural networks (ANN) can improve the accuracy ...
Security
Poisoning attacks are among the greatest security threats for machine learning (ML) models. In this type of attack, an adversary tries to control a fraction of the data used to train neural networks and injects malicious ...
