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,...
TECHXPLORE
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...
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...
Highly performing and wafer-scalable aligned carbon nanotube transistors
As we enter the wireless world of 5G, communications in the millimeter-wave band (i.e., from 30 to 300 GHz) will become increasingly important, particularly for high-speed wireless data-transfer applications. The trouble is that at these small wavelengths, the...
Hourglass-shaped silicon photodiodes with an enhanced near-infrared photoresponse
Silicon photodiodes are semiconductor devices commonly used to detect visible light and measure its intensity, color and position. The fact that these devices are made of silicon has both advantages and disadvantages.