Organic solar cells are photovoltaic technologies with light-absorbing layers made of conductive organic polymers or organic molecules. These solar energy solutions can have notable advantages over their non-organic counterparts, including lighter weight, a larger...
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A model that can recognize speech in different languages from a speaker’s lip movements
In recent years, deep learning techniques have achieved remarkable results in numerous language and image-processing tasks. This includes visual speech recognition (VSR), which entails identifying the content of speech solely by analyzing a speaker's lip movements.
LaundroGraph: Using deep learning to support anti-money laundering efforts
In recent years, deep learning techniques have proved to be highly valuable for tackling countless research and real-world problems. Researchers at Feedzai, a financial data science company based in Portugal, have demonstrated the potential of deep learning for the...
A deep learning model that generates nonverbal social behavior for robots
Researchers at the Electronics and Telecommunications Research Institute (ETRI) in Korea have recently developed a deep learning-based model that could help to produce engaging nonverbal social behaviors, such as hugging or shaking someone's hand, in robots. Their...
A space-time coding metasurface antenna for efficient and secure communications
Antennas that can couple guided waves emitted from different sources in free space and manipulate these waves are crucial to the development of numerous technologies, including wireless communication, optical communication and ranging systems. Metasurfaces, thin films...
The strengths and limitations of approaches to detect deepfake text
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...
A promising optoelectronic synapse for reservoir computing based on alpha-indium selenide
Reservoir computing is an emerging computation framework based on the use of recurrent neural networks (i.e., networks in which data persists or reoccurs in patterns). This framework has the potential of reducing the time of data processing, while also improving the...
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 investigates the extent to which e-scooters and e-bikes displace cars using real-world data
Drastically reducing greenhouse gas emissions is of utmost importance to mitigate climate change and its detrimental effects. To work toward this goal, most automotive and transport companies are investing in hybrid and electric vehicles, as well as other...
New acoustic resonators based on commercial field effect transistors
A key objective of electronics engineering studies focusing on radio communication is the development of increasingly smaller, lighter, and low-power radio components. This could be achieved by integrating all radio components into a single chip, for instance by...