Researchers at MIT Media Lab have developed a wearable platform that provides real-time, personalized, and context-aware health and cognition support. Their system, called personalized active learner (PAL), was presented in a paper pre-published on arXiv.
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SPFCNN-Miner: A new classifier to tackle class-unbalanced data
Researchers at Chongqing University in China have recently developed a cost-sensitive meta-learning classifier that can be used when the training data available is high-dimensional or limited. Their classifier, called SPFCNN-Miner, was presented in a paper published...
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...
MobiKa: A low-cost mobile robot that can assist people in a variety of settings
Researchers at Fraunhofer IPA, in Stuttgart, Germany, have recently developed MobiKa, a low-cost, mobile robot capable of two-modal (voice and text) interactions with humans. Their robot, presented in a paper pre-published on arXiv, could be particularly useful for...
Monitoring human physiological responses to improve interactions with robots
Researchers from the Century Mold Collaborative Robotics Laboratory (CMCRL) at Rochester Institute of Technology (RIT) in New York have recently developed a new framework for monitoring human physiological responses while users are collaborating with a robot to...









