Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. For instance, GANs have been successfully...
Researchers at the Hybrid Robotics Group at UC Berkeley, Simon Fraser University and Georgia Institute of Technology have recently created a reinforcement learning model that allows a quadrupedal robot to efficiently play soccer in the role of goalkeeper. The model...
Cyber attackers are coming up with increasingly sophisticated techniques to steal users' sensitive information, encrypt documents to receive a ransom, or damage computer systems. As a result, computer scientists have been trying to create more effective techniques to...
Machine learning-based computational models have been successfully applied to a broad range of complex information processing tasks, including those that involve retrieving specific data items from large archives. Researchers at the Sony Computer Science Laboratories...
Recent advancements in the development of machine learning and optimization techniques have opened new and exciting possibilities for identifying suitable molecular designs, compounds, and chemical candidates for different applications. Optimization techniques, some...
In recent years, engineers and computer scientists have created a wide range of technological tools that can enhance fitness training experiences, including smart watches, fitness trackers, sweat-resistant earphones or headphones, smart home gym equipment and...
Over the past few decades, computer scientists have developed increasingly advanced technologies and tools to store large amounts of music and audio files in electronic devices. A particular milestone for music storage was the development of MP3 (i.e., MPEG-1 layer 3)...
In recent years, deep learning algorithms have achieved remarkable results in a variety of fields, including artistic disciplines. In fact, many computer scientists worldwide have successfully developed models that can create artistic works, including poems, paintings...
Near-term quantum computers, quantum computers developed today or in the near future, could help to tackle some problems more effectively than classical computers. One potential application for these computers could be in physics, chemistry and materials science, to...
Researchers University of California, Berkeley (UC Berkeley), Université de Montréal and Mila have recently developed a hierarchical reinforcement learning framework to improve the precision of quadrupedal robots in soccer shooting. This framework, introduced in a...