The ultimate target of many environmental interventions is to drastically reduce CO2 emissions and minimize its presence in the air. One tool that could help to achieve this goal is direct air capture (DAC) technology, which directly filters CO2 from the air, often...
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Researchers create a hybrid technology that combines III-V tunnel FETs and MOSFETs
Over the past few decades, the incredible progress made in the electronics industry has been partially driven by innovations at the single-transistor level. A transistor is a semiconducting device that can conduct, insulate and amplify electric current inside...
SN4KE: A lightweight and scalable framework for binary mutation testing
When developers deliver software to their clients, they often also provide what is known as a 'test suite.' A test suite is a tool that allows users to test software, unveil any bugs it might have and give developers a chance to fix these bugs or other potential issues.
MeInGame: A deep learning method to create videogame characters that look like real people
In recent years, videogame developers and computer scientists have been trying to devise techniques that can make gaming experiences increasingly immersive, engaging and realistic. These include methods to automatically create videogame characters inspired by real...
An open-source machine learning framework to carry out systematic reviews
When scientists carry out research on a given topic, they often start by reviewing previous study findings. Conducting systematic literature reviews or meta-analyses can be very challenging and time consuming, as there are often huge amounts of research focusing on...
A design to improve the resilience and electrical performance thin metal film based electrodes
Flexible electrodes, electronic components that conduct electricity, are of key importance for the development of numerous wearable technologies, including smartwatches, fitness trackers and health monitoring devices. Ideally, electrodes inside wearable devices should...
A deep learning technique to solve Rubik’s cube and other problems step-by-step
Colin G. Johnson, an associate professor at the University of Nottingham, recently developed a deep-learning technique that can learn a so-called "fitness function" from a set of sample solutions to a problem. This technique, presented in a paper published in...
Researchers examine how multilingual BERT models encode grammatical features
Over the past few decades, researchers have developed deep neural network-based models that can complete a broad range of tasks. Some of these techniques are specifically designed to process and generate coherent texts in multiple languages, translate texts, answer...
A robot that allows users to virtually navigate remote environments
Two students who graduated from VR Siddartha Engineering College in Kanuru, India, have created a virtual telepresence robot that allows users to see what is happening in a remote location as if they were actually there. Their project, supervised by Professor V.N....
A system that automatically generates comic books from movies and other videos
Over the past few years, computer scientists have created numerous computational techniques that can automatically generate texts, images and other types of data. These models are highly advantageous, particularly for creating data or creative works that are demanding...