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 already achieved remarkable performance on...
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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...
Maestro: a new attack that orchestrates malicious flows with BGP
Researchers at the University of Tennessee have recently identified the Maestro attack, a new link flooding attack (LFA) that leverages plane traffic control engineering techniques to concentrate botnet-sourced distributed denial of service (DDos) flows on transit...
FoodTracker: An AI-powered food detection mobile application
A research team at McGill University in Canada has developed a mobile application that can recognize food items inside an overall meal in real-time, providing useful nutrition-related information. The team outlined the new mobile application, called FoodTracker, in a...
From motion to emotion: The potential of robot swarms in artistic performances
Researchers at the Georgia Institute of Technology have recently carried out an interesting study exploring how motion and shape descriptors that are associated with particular emotions can be incorporated into swarm behaviors to create evocative artistic expositions....
Generating cross-modal sensory data for robotic visual-tactile perception
Perceiving an object only visually (e.g. on a screen) or only by touching it, can sometimes limit what we are able to infer about it. Human beings, however, have the innate ability to integrate visual and tactile stimuli, leveraging whatever sensory data is available...