To efficiently navigate their surrounding environments and complete missions, unmanned aerial systems (UASs) should be able to detect multiple objects in their surroundings and track their movements over time. So far, however, enabling multi-object tracking in...
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A model to classify financial texts while protecting users’ privacy
Over the past decade or so, computer scientists developed a variety of machine learning (ML) models that can analyze large amounts of data both quickly and efficiently. To be applied in real-world situations that involve the analysis of highly sensitive data, however,...
A strategy to manipulate photocurrent direction in p-n heterojunction nanowires
Semiconductor p-n junctions are boundaries between two types of semiconductors (i.e., p-type and n-type semiconductor materials). These junctions are crucial components of many modern electronic devices.
How environmental features can enhance robot awareness
In recent years, roboticists have created a variety of systems that could eventually operate in real-world environments. As most real-world settings, particularly public spaces, are dynamic and unpredictable, to efficiently navigate these environments robots should be...
Monte Carlo tree search algorithms that can play the Lord of the Rings card game
When machine learning algorithms and other computational tools started becoming increasingly advanced, many computer scientists set out to test their capabilities by training them to compete against humans at different games. One of the most well-known examples is...
Turning an analysis of Asimov’s Foundation into art
In recent years, numerous computer scientists and artists worldwide have worked on projects that merge digital art and computer science. For instance, some introduced computational models that can create original artworks, while others used data analysis tools to...
A new model to synthesize emotional speech for companion robots
Over the past few decades, roboticists have designed a variety of robots to assist humans. These include robots that could assist the elderly and serve as companions to improve their wellbeing and quality of life.
A framework to enhance deep learning using first-spike times
Researchers at Heidelberg University and University of Bern have recently devised a technique to achieve fast and energy-efficient computing using spiking neuromorphic substrates. This strategy, introduced in a paper published in Nature Machine Intelligence, is a...
A model that can generate humorous versions of existing headlines
Over the past decade or so, computer scientists have developed a growing number of computational models that can generate, edit and analyze texts. While some of these models have achieved remarkable results, some aspects of human language and communication have proved...
Study explores how a robot’s inner speech affects a human user’s trust
Trust is a very important aspect of human-robot interactions, as it could play a crucial role in the widespread implementation of robots in real-world settings. Nonetheless, trust is a considerably complex construct that can depend on psychological and environmental...