Advances in the field of machine learning have recently enabled the development of computational tools that can create convincing but artificially produced texts, also known as deepfake texts. While the automatic creation of texts could have some interesting...
Machine learning & AI
A palm-sized drone to track chemical plumes
Robots that can automatically recognize and track specific odors could have a wide range of valuable applications. For instance, they could help to identify the sources of harmful chemical substances in the air after hazardous accidents at power plants, explosions, or...
Study assesses the quality of AI literary translations by comparing them with human translations
Recent advancements in the field of machine learning (ML) have greatly improved the quality of automatic translation tools. At present, these tools are primarily used to translate basic sentences, as well as short texts or unofficial documents.
Improving the autonomous navigation of mobile robots in crowded spaces using people as sensors
A team of researchers from University of Illinois at Urbana-Champaign and Stanford University led by Prof. Katie Driggs-Campbell, have recently developed a new deep reinforcement learning-based method that could improve the ability of mobile robots to safely navigate...
T2CI GAN: A deep learning model that generates compressed images from text
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...
A reinforcement learning-based four-legged robotic goalkeeper
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...
The vulnerability of transformers-based malware detectors to adversarial attacks
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...
SampleMatch: A model that automatically retrieves matching drum samples for musical tracks
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...
A molecular optimization framework to identify promising organic radicals for aqueous redox flow batteries
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...
A deep learning-augmented smart mirror to enhance fitness training
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...