Robotics
Animals have always been a great inspiration for robotic systems, as they offer fascinating natural examples of how different body structures can produce specific movements and locomotion styles. While most animal-inspired ...
Hardware
Graph neural networks (GNNs) are promising machine learning architectures designed to analyze data that can be represented as graphs. These architectures achieved very promising results on a variety of real-world applications, ...
Machine learning & AI
At the end of November 2022, the San Francisco-based company OpenAI launched its prototype of ChatGPT, an artificial intelligence (AI)-based chatbot that can answer a wide range of questions in short periods of time. Since ...
Robotics
Humans innately learn to adapt their movements based on the materials they are handling and the tasks that they are trying to complete. When chopping specific fruits or vegetables, for instance, they might learn to cut around ...
Engineering
Quantum processors are computing systems that process information and perform computations by exploiting quantum mechanical phenomena. These systems could significantly outperform conventional processors on certain tasks, ...
Robotics
Roboticists have developed many advanced systems over the past decade or so, yet most of these systems still require some degree of human supervision. Ideally, future robots should explore unknown environments autonomously ...
Energy & Green Tech
To meet rising energy demands and power the countless electronic devices on the market, researchers will need to develop new advanced battery technologies. These technologies should ideally have higher energy densities and ...
Security
As the use of machine learning (ML) algorithms continues to grow, computer scientists worldwide are constantly trying to identify and address ways in which these algorithms could be used maliciously or inappropriately. Due ...
Engineering
Researchers at Kyushu University, the National Institute of Advanced Industrial Science and Technology (AIST) and Osaka University in Japan have recently introduced a new strategy for synthesizing multi-layer hexagonal boron ...
Computer Sciences
Domain adaptation approaches are techniques designed to improve the performance of computational models in specific target domains. These techniques are particularly valuable for tackling problems for which there is only ...
