SPS Newsletter Article

Brain data are inherently large scale, multidimensional, and noisy. Indeed, advances in imaging and sensor technology allow recordings of ever…

In the cognitive neurosciences and machine learning, we have formal ways of understanding and characterising perception and decision-making; however,…

While message-passing neural networks (MPNNs) are the most popular architectures for graph learning, their expressive power is inherently limited. In…

Focus stacking is an effective approach to extending the depth of field of a camera, yet is challenging with regard to 1) controlling focal planes in…

Many tasks in medicine still involve substantial manual work. In many cases there is strong potential for intelligent automation by Artificial…

Non-line-of-sight (NLoS) imaging is an exciting technology which uses time-resolved sensors to see objects that are hidden from view. In essence,…

As an authentication method, biometrics offer unparalleled convenience and security. With very little for users to remember and do, there is also…

Augmented reality devices of the future will likely fuse sensor data from several modalities, allowing multichannel speech enhancement algorithms to…

Separating the household aggregated energy consumption signal into its additive sub-components (the power signal from individual appliances), is…

Speech enhancement and speech separation are two related tasks, whose purpose is to extract either one or more target speech signals, respectively,…