The complex network of interconnected cellular signals produced in response to changes in the human body offers a vast amount of interesting and valuable insight that could inform the development of more effective medical treatments. In peripheral immune cells, these...
Computer Sciences
PESAO: An experimental setup to evaluate the perceptions of freely moving humans
Humans regularly tackle and solve a variety of complex visuospatial problems. In contrast, most machine learning and computer vision techniques developed so far are designed to solve individual tasks, rather than applying a set of capabilities to any task they are...
OpenMonkeyStudio: A deep-learning-based system to estimate 3-D poses of freely moving macaques
To gain a better understanding of human behavior and cognition, as well as their neural underpinnings, researchers often study other mammals with similar characteristics. One of the most common species examined in these studies is the rhesus macaque, a type of...
CLEANN: A framework to shield embedded neural networks from online Trojan attacks
With artificial intelligence (AI) tools and machine learning algorithms now making their way into a wide variety of settings, assessing their security and ensuring that they are protected against cyberattacks is of utmost importance. As most AI algorithms and models...
Do explanations for data-based predictions actually increase users’ trust in AI?
In recent years, many artificial intelligence (AI) and robotics researchers have been trying to develop systems that can provide explanations for their actions or predictions. The idea behind their work is that as AI systems become more widespread, explaining why they...
RoomShift: A room-scale haptic and dynamic environment for VR applications
Researchers at University of Colorado Boulder's ATLAS Institute have recently created RoomShift, a haptic and dynamic environment that could be used to support a variety of virtual reality (VR) experiences. This new haptic environment, introduced in a paper...
A deep learning model achieves super-human performance at Gran Turismo Sport
Over the past few decades, research teams worldwide have developed machine learning and deep learning techniques that can achieve human-comparable performance on a variety of tasks. Some of these models were also trained to play renowned board or videogames, such as...
A quantum-inspired framework for video sentiment analysis
Automatically identifying the overall sentiment expressed in a video or text could be useful for a wide range of applications. For instance, it could help companies or political parties to screen large amounts of online content and gain insight on what the public...
A technique allows robots to determine whether they are able to lift a heavy box
Humanoid robots, those with bodies that resemble humans, could soon help people to complete a wide variety of tasks. Many of the tasks that these robots are designed to complete involve picking up objects of different shapes, weights and sizes.
A heuristic search algorithm to plan attacks in robotic football
Robots have gradually been making their way into a variety of fields and settings, including sports competitions. Robotic football, or soccer, is an innovative version of soccer in which human players are replaced by robots.