Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.
TECHXPLORE
A new approach for designing and implementing a hybrid systems language
Hybrid systems are systems that exhibit both continuous and discrete dynamic behavior, allowing more flexibility in modeling dynamic phenomena. Hybrid systems modeling languages are widely used for the development of cyber-physical systems, in which control software...
A chance constrained motion planning system for high-dimensional robots
Researchers at MIT's Computer Science and Artificial Intelligence Laboratory have recently developed a chance-constrained motion planning system that can be applied to high degree-of-freedom (DOF) robots under motion uncertainty and in cases of imperfect state...
Urban swarms for autonomous waste management
Researchers at MIT Media Lab, the University of Pisa, and Université Libre de Bruxelles have recently explored the feasibility of using swarm robotic systems for autonomous waste management. Their approach, outlined in a paper pre-published on arXiv, applies...
Working toward partner-aware humanoid robot control
Researchers at the Italian Institute of Technology (IIT) have recently proposed a coupled-dynamics formalism and a new approach for exploiting helpful interactions with humanoid robots. Their paper, which was pre-published on arXiv, also presents a number of...
Exploring the resurrection of digital consciousness using AI
Researchers at Shree Devi Institute of Technology, in India, have recently carried out a study investigating the use of artificial intelligence (AI) to communicate with deceased loved ones. Like in the chilling sci-fi fantasy foreshadowed by popular television series...
CruzAffect: a feature-rich approach to characterize happiness
A team of researchers at UC Santa Cruz have recently developed a new machine learning approach to characterize happiness, called CruzAffect. Their approach, presented in a paper pre-published on arXiv, can be applied to different models for affective content...
An evaluation of mouse dynamics for intrusion detection
Researchers at Sapientia University in Romania and Université de Lyon have recently carried out a performance evaluation of unrestricted mouse usage for impostor detection. Their findings, pre-published on arXiv, suggest that drag-and-drop mouse actions are the most...
A light-weight and accurate deep learning model for audiovisual emotion recognition
Researchers at Orange Labs and Normandie University have developed a novel deep neural model for audiovisual emotion recognition that performs well with small training sets. Their study, which was pre-published on arXiv, follows a philosophy of simplicity,...
A new approach to prepare solution-processable 2-D semiconductors
Researchers at the University of California, Los Angeles (UCLA), the University of Texas at Austin, and Hunan University (China) have recently devised a new method of preparing highly uniform, solution-processable, phase-pure semiconducting nanosheets. Their approach,...