Stakeholders across the entire healthcare chain are looking to incorporate artificial
intelligence (AI) into their decision-making process. From early-stage drug discovery to clinical …

… processing around missing values is significant. Relying on cloud machine learning methods
is not enough to deal with the problem of missing data in the Artificial Intelligence of Things …

… Missing any of these features will cause the task to be complex and error-prone. However,
with this … Human trust in artificial intelligence: Review of empirical research. Academy of …

… in artificial intelligence environments. Finally, this article addresses the core issue at the
heart of the AI and Right to Be Forgotten problem: the unfortunate dearth of interdisciplinary …

We consider some of the ideas influencing current artificial–intelligence research and … of
intelligent behaviour. The framework starts from Weizenbaum's observation that intelligence …

… The missing piece in complex analytics: Low latency, scalable model management and
serving with Velox. arXiv preprint arXiv:1409.3809 (2014). [9] Jeffrey Dean and Sanjay …

… Evaluation when applied to puzzles with missing pieces and to mixed puzzles: Figures 1…
5 show our results on puzzles with missing pieces, where the missing pieces are uniformly …

… In any case the issue is certainly tangential in Artificial Intelligence, and we won't consider it
… appeal; and since it would rule out Artificial Intelligence at a stroke, we should pay attention. …

… field—artificial intelligence is nowhere near developing systems that are genuinely intelligent.
In this provocative book, Brian Cantwell Smith argues that artificial intelligence is nowhere …

… The other is the socalled cognitive revolution, which relies on the computer analogue as
taken from the field of artificial intelligence. It is my contention that each of these movements has …