Legged robots have numerous advantageous qualities, including the ability to travel long distances and navigate a wide range of land-based environments. So far, however, legged robots have been primarily trained to move in specific environments, rather than to adapt...
Machine learning & AI
New memcapacitor devices for neuromorphic computing applications
To train and implement artificial neural networks, engineers require advanced devices capable of performing data-intensive computations. In recent years, research teams worldwide have been trying to create such devices, using different approaches and designs.
A new model to enable multi-object tracking in unmanned aerial systems
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...
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,...
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...
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...
Researchers develop a new robot that can efficiently navigate sidewalks in urban environments
To operate efficiently in urban environments, mobile robots and other autonomous systems should be able to move safely on sidewalks and avoid collisions with pedestrians or other obstacles. This is particularly true for delivery robots or systems that are specifically...