In recent decades, phishing attacks have become increasingly common. These attacks allow attackers to obtain sensitive user data, such as passwords, usernames, credit card details, etc., by tricking people into disclosing personal information. The most common type of...
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SentiArt: a sentiment analysis tool for profiling characters from world literature texts
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 figures. In his paper, set to be...
ShapeBots: a swarm of shape-shifting robots that visually display data
Researchers from the University of Colorado Boulder's ATLAS Institute have recently developed a swarm of little shape-changing robots, called ShapeBots. These self-transformable robots, presented in a paper pre-published on arXiv, can change both their individual and...
Simulating quantum many-body systems on Amazon Web Services
Quantum many-body systems (QMBs), which are physical systems made up of multiple interacting particles, are among the most challenging structures to reproduce in numerical simulations. In the past, researchers have attempted to simulate these systems using a variety...
Skinflow: A soft robotic skin based on liquid transmission
Researchers at the Bristol Robotics Laboratory and the University of Bristol have recently developed a new soft robotic skin-like sensor that is based on fluidic transmission. This sensor, presented at the second IEEE International Conference on Soft Robotics...
Infusing machine learning models with inductive biases to capture human behavior
Human decision-making is often difficult to predict and delineate theoretically. Nonetheless, in recent decades, several researchers have developed theoretical models aimed at explaining decision-making, as well as machine learning (ML) models that try to predict...
Intel researchers develop an eye contact correction system for video chats
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 calling services on a regular basis, so far,...
Kaolin: The first comprehensive library for 3-D deep learning research
As most real-world environments are three-dimensional, deep learning models designed to analyze videos or complete tasks in real-world environments should ideally be trained on 3-D data. Technological tools such as robots, self-driving vehicles, smartphones, and other...
K-Athena: a performance portable magnetohydrodynamics code
Running large-scale simulations is a crucial aspect of modern scientific research, yet it often requires a vast amount of computational resources. As we approach the era of exascale computing, which will be marked by the introduction of highly performing...
LeRop: A deep learning-based model to automatically capture human portraits
Taking good-quality photographs can be a challenging task, as it typically requires finding ideal locations, angles and lighting conditions. Although artistic pictures have so far primarily been taken by human photographers, in recent years, some researchers have...