To interact with humans and assist them in their day-to-day life, robots should have both verbal and non-verbal communication capabilities. In other words, they should be able to understand both what a user is saying and what their behavior indicates, adapting their...
Machine learning & AI
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...
Using deep learning to control the unconsciousness level of patients in an anesthetic state
In recent years, researchers have been developing machine learning algorithms for an increasingly wide range of purposes. This includes algorithms that can be applied in healthcare settings, for instance helping clinicians to diagnose specific diseases or...
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 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.
A 26-layer convolutional neural network for human action recognition
Deep learning algorithms, such as convolutional neural networks (CNNs), have achieved remarkable results on a variety of tasks, including those that involve recognizing specific people or objects in images. A task that computer scientists have often tried to tackle...
Reviewing recent advancements in the development of neuro-inspired computing chips
In recent years, many research teams worldwide have been developing computational techniques inspired by the human brain, such as deep learning algorithms. While some of these techniques are considered highly promising for a wide range of applications, conventional...
Mix-StAGE: A model that can generate gestures to accompany a virtual agent’s speech
Virtual assistants and robots are becoming increasingly sophisticated, interactive and human-like. To fully replicate human communication, however, artificial intelligence (AI) agents should not only be able to determine what users are saying and produce adequate...