Network-based technologies have become increasingly widespread, and they are now being used by countless individuals, professionals, and businesses worldwide. Despite their advantages, most network-based systems are highly vulnerable to malicious attacks.
Computer Sciences
EventDrop: a method to augment asynchronous event data
Event sensors, such as DVS event cameras and NeuTouch tactile sensors, are sophisticated bio-inspired devices that mimic event-driven communication mechanisms naturally occurring in the brain. In contrast with conventional sensors, such as RGB cameras, which are...
LyricJam: A system that can generate lyrics for live instrumental music
Over the past few decades, computer scientists have developed computational tools that can generate specific types of data, such as images, words or audio recordings. These systems could have a variety of valuable applications, particularly in creative fields that...
Features of virtual agents affect how humans mimic their facial expressions
In recent years, computer scientists have developed a broad variety of virtual agents, artificial agents designed to interact with humans or assist them with various tasks. Some past findings suggest that the extent to which human users trust these agents often...
Study estimates the prevalence of CCTV cameras in large cities worldwide
Over the past few decades, surveillance cameras, also known as closed-circuit television (CCTV) cameras, have become widely used by governments, law enforcement officers and private citizens to monitor public spaces, prevent crime and identify criminals. While the...
WaveGlove: A glove with five inertial sensors for hand gesture recognition
Over the past few decades, computer scientists have developed a wide array of models and approaches to analyze different aspects of human behavior and communication, such as speech, emotions and gestures. Most existing techniques for hand gesture recognition rely on...
A bio-inspired technique to mitigate catastrophic forgetting in binarized neural networks
Deep neural networks have achieved highly promising results on several tasks, including image and text classification. Nonetheless, many of these computational methods are prone to what is known as catastrophic forgetting, which essentially means that when they are...
A social robot that could help children to regulate their emotions
In recent years, roboticists have developed a broad variety of social robots, robots designed to communicate with humans, assist them and support them in several different ways. This includes robotic toys and other robots designed to be used by children.
Text2App: A framework that creates Android apps from text descriptions
Researchers at Bangladesh University of Engineering and Technology (BUET) and University of California- Los Angeles (UCLA) recently developed a framework that can create Android applications from text descriptions. This new app was presented in a paper pre-published...
A recurrent neural network that infers the global temporal structure based on local examples
Most computer systems are designed to store and manipulate information, such as documents, images, audio files and other data. While conventional computers are programmed to perform specific operations on structured data, emerging neuro-inspired systems can learn to...