Over the past few decades, computer scientists have developed deep learning tools for a broad variety of applications, including for the analysis of pharmaceutical drugs. Most recently, deep learning models that predict the properties of pharmaceuticals have been...
Computer Sciences
Exploring the impact of broader impact requirements for AI governance
As machine learning algorithms and other artificial intelligence (AI) tools become increasingly widespread, some governments and institutions have started introducing regulations aimed at ensuring that they are ethically designed and implemented. Last year, for...
Music Circles: An interactive data visualization tool that helps users discover new music
Today, users can listen to music and discover new artists, songs or albums on a variety of music streaming platforms, including Spotify, Apple Music, Amazon Music Unlimited and more. Many developers have been trying to create tools that could improve these services,...
Patterns in the use of emojis could predict the dropout of remote workers
The COVID-19 pandemic has led to a surge in professionals working remotely as a result of lockdown regulations or merely as a preventive measure. When professionals work remotely, however, it is far harder for employers to get a sense of their job satisfaction,...
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...
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 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...
A new framework for robotics applications that merges reservoir computing with origami
Reservoir computing is a highly promising computational framework based on artificial recurrent neural networks (RNNs). Over the past few years, this framework was successfully applied to a variety of tasks, ranging from time-series predictions (i.e., stock market or...