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...
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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...
Stanford Doggo: a highly agile quadruped robot
Researchers at Stanford University have recently created an open-source quadruped robot called Stanford Doggo. Their robot, presented in a paper pre-published on arXiv and set to be published by IEEE Explore, exceeds the performance of many state-of-the-art legged...
Surface organometallic chemistry could open new paths for synthetic fuels and energy carriers
To convert hydrocarbons into fuel, the petrochemical industry currently relies primarily on heterogeneous catalysts, which in most cases contain active metal sites with poorly defined structures. In recent years, however, an area of study known as surface...
SwarmTouch: A tactile interaction strategy for human-swarm communication
Researchers at the Skolkovo Institute of Science and Technology (Skoltech) in Russia have recently introduced a new strategy to enhance interactions between humans and robotic swarms, called SwarmTouch. This strategy, presented in a paper pre-published on arXiv,...
Teaching AI agents navigation subroutines by feeding them videos
Researchers at UC Berkeley and Facebook AI Research have recently proposed a new approach that can enhance the navigation skills of machine learning models. Their method, presented in a paper pre-published on arXiv, allows models to acquire visuo-motor navigation...