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...
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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.
Molybdenum disulfide vertical transistors with channel lengths down to one atomic layer
Vertical transistors, transistors with channel lengths that are dependent on a semiconductor's thickness, could be highly valuable for the development of new generations of electronic devices. In contrast with conventional planar transistors, which are built in layers...
A system to benchmark the posture control and balance of humanoid robots
In recent years, roboticists have developed a wide variety of robots with human-like capabilities. This includes robots with bodies that structurally resemble those of humans, also known as humanoid robots.
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...
The MIT humanoid robot: A dynamic robotic that can perform acrobatic behaviors
Creating robots that can perform acrobatic movements such as flips or spinning jumps can be highly challenging. Typically, in fact, these robots require sophisticated hardware designs, motion planners and control algorithms.
MOBLOT: A theoretical model that describes molecular oblivious robots
Research focusing on swarm robotics typically uses theoretical approaches to describe robotic systems in an abstract way. A theoretical model that is often used in robotics studies is OBLOT, an approach that represents robots as simple systems, all identical, without...
Researchers create new zinc-air pouch cells
Zinc-air batteries (ZABs) are among the most promising next-generation battery technologies due to their many advantageous characteristics. Most notably, these batteries have unique half-open structures, a significant theoretical energy density (1,086 and 1,370 Wh...
CaSiNo: A collection of campsite-based dialogs to develop automatic negotiation systems
Artificial agents that negotiate with humans could have a broad range of valuable applications, for instance, helping humans to improve their negotiation skills in a variety of fields. To enhance the development of these agents, researchers at the University of...