Advancements in deep learning techniques and the availability of free, large databases
have made it possible, even for non-technical people, to either manipulate or generate …

This comprehensive review investigates the multifaceted applications of machine learning in
materials research across six key dimensions, redefining the field's boundaries. It explains …

In recent months a machine learning based free software tool has made it easy to create
believable face swaps in videos that leaves few traces of manipulation, in what are known …

Multivariate time series usually contain a large number of missing values, which hinders the
application of advanced analysis methods on multivariate time series data. Conventional …

With recent advances in computer vision and graphics, it is now possible to generate videos
with extremely realistic synthetic faces, even in real time. Countless applications are …

The rapid progress in synthetic image generation and manipulation has now come to a point
where it raises significant concerns for the implications towards society. At best, this leads to …

As more and more personal photos are shared online, being able to obfuscate identities in
such photos is becoming a necessity for privacy protection. People have largely resorted to …

Designing and generating new data under targeted properties has been attracting various
critical applications such as molecule design, image editing and speech synthesis …

Recent research has established the possibility of deducing soft-biometric attributes such as
age, gender, and race from an individual's face image with high accuracy. However, this …

Over the last few decades, artificial intelligence research has made tremendous strides, but
it still heavily relies on fixed datasets in stationary environments. Continual learning is a …