Teams of multiple robots could help to tackle a number of complex real-world problems, for instance, assisting human agents during search and rescue missions, monitoring the environment or assessing the damage caused by natural disasters. Over the past few years,...
Machine learning & AI
eSpine: A technique to increase the usable lifetime of neuromorphic systems
In recent years, engineers worldwide have been trying to develop increasingly advanced and efficient neuromorphic computing systems, devices that mimic the neuro-biological structure of the central nervous system. Due to their bio-inspired architectures, these systems...
DeepONet: A deep neural network-based model to approximate linear and nonlinear operators
Artificial neural networks are known to be highly efficient approximators of continuous functions, which are functions with no sudden changes in values (i.e., discontinuities, holes or jumps in graph representations). While many studies have explored the use of neural...
MolMapNet: An out-of-the-box deep learning model to predict pharmaceutical properties
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...
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...
Reviewing recent advancements in the development of solid-state batteries
Solid state batteries (SSBs) are an emerging battery technology with high energy densities that could compete with lithium-ion batteries (LIBs), which power a wide range of electronic devices on the market today. In contrast with classic LIBs, SSBs have a solid...
RoboEYE: A semi-autonomous and gaze-guided wheelchair
Recent technological advancements have enabled the development of new tools to assist people with different types of disabilities, allowing them to move more freely in their surroundings and complete a number of everyday tasks. These include a broad range of smart...
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,...
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...