Alongside huge volumes of research on deep learning models in NLP in the recent years,
there has been much work on benchmark datasets needed to track modeling progress …

Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …

The introduction of machine learning (ML) in organizations comes with the claim that
algorithms will produce insights superior to those of experts by discovering the" truth" from …

Artificial intelligence (AI) has already changed the world and has made an effective impact in
a range of fields including industry, criminal law, health, national security, transport …

Artificial intelligence (AI) can transform health care practices with its increasing ability to
translate the uncertainty and complexity in data into actionable—though imperfect—clinical …

Traditional classifiers are deployed under closed-set setting, with both training and test
classes belong to the same set. However, real-world applications probably face the input of …

When answering a question, people often draw upon their rich world knowledge in addition
to the particular context. Recent work has focused primarily on answering questions given …

Background: Artificial intelligence (AI) provides opportunities to identify the health risks of
patients and thus influence patient safety outcomes. Objective: The purpose of this …

Academicians and practitioners have recently begun to accord Artificial Intelligence (AI) and
Big Data Analytics (BDA) significant consideration when exploring emerging research trends …

Digital assistant is a recent advancement benefited through data-driven innovation. Though
digital assistants have become an integral member of user conversations, but there is no …