Collision avoidance is key for mobile robots and agents to operate safely in the real world. In this work, we…
Estimating dimensional emotions, such as activation, valence and dominance, from acoustic speech signals has been widely explored over the past…
The perception system in personalized mobile agents requires developing indoor scene understanding models, which can understand 3D geometries, capture objectiveness,…
Pre-trained word embeddings, such as GloVe, have shown undesirable gender, racial, and religious biases. To address this problem, we propose…
The matching principles behind optimal transport (OT) play an increasingly important role in machine learning, a trend which can be…
Sanctions, restrictions, and geopolitical conflicts can have serious consequences for organizations with complex and globalized supply chains.Organizations with multi-tiered, globalized supply…
Enterprises often deal with large volumes of IT service requests. Traditionally, the burden is put on the requester to choose…
Closed and exclusive ecosystems are a barrier to innovation in artificial intelligence (AI) and machine learning (ML), imposing incompatibilities across…
Data is the most valuable asset in any digital transformation. Yet limits on data are still too common, and prevent…
When it comes to the adoption of artificial intelligence (AI), we have reached a tipping point. Technologies that were once…