The batteries used to power electric vehicles have several key characterizing parameters, including voltage, temperature, and state of change (SOC). As battery faults are associated with abnormal fluctuations in these parameters, effectively predicting them is of...
TECHXPLORE
How the Avengers assemble: Ecology-based metrics model effective cast sizes for Marvel movies
In a recent study, researchers at the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) in Adelaide have tried to use ecology-related concepts to model effective cast sizes for movies, focusing on characters from the Marvel Cinematic Universe...
Using game theory to model poisoning attack scenarios
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 data points to hinder a model's performance.
Using imitation and reinforcement learning to tackle long-horizon robotic tasks
Reinforcement learning (RL) is a widely used machine-learning technique that entails training AI agents or robots using a system of reward and punishment. So far, researchers in the field of robotics have primarily applied RL techniques in tasks that are completed...
Using laser beams for communication and coordination of spacecraft swarms
Swarms of small spacecraft could have a variety of interesting applications, particularly in terms of Earth observation, global positioning and communications. Compared to large spacecraft, small spacecraft provide greater apertures, allowing for better observation of...
Using sensors to improve the interaction between humans and robots walking together
Researchers at the BioRobotics Institute of Scuola Superiore Sant"Anna, Co-Robotics srl and Sheffield Hallam University have recently proposed a new approach to improve interactions between humans and robots as they are walking together. Their paper, published in...
Using Spotify data to predict what songs will be hits
Two students and researchers at the University of San Francisco (USF) have recently tried to predict billboard hits using machine-learning models. In their study, pre-published on arXiv, they trained four models on song-related data extracted using the Spotify Web...
VRKitchen: An interactive virtual environment to train and test AI agents
A team of researchers at the University of California Los Angeles (UCLA), under the supervision of Prof. Song-Chun Zhu, has developed an interactive 3-D virtual environment for training and evaluating AI systems. Their platform, called VRKitchen, was recently...
Telescope: a tool to manage bioinformatics analyses on mobile devices
A team of researchers at UCLA, the University of São Paulo, the Federal University of São Carlos and the University of Southern California has recently developed an interactive tool for managing large-scale bioinformatic analyses in real-time and from portable...
Testing a connected eco-driving system in field trials with heavy-duty trucks
Currently, 90 percent of fuel used for transportation is petroleum-based, making it one of the key contributors to air pollution worldwide. Recent technological advances, however, are finally enabling the development of new tools to reduce energy consumption and...









