Machines augmenting entrepreneurs: Opportunities (and threats) at the Nexus of artificial intelligence and entrepreneurship

Avoiding an Oppressive Future of Machine Learning: A Design Theory for Emancipatory Assistants

(2021) Gerald C. Kane et al.   MIS QUARTERLY

Deep learning for AI

(2021) Yoshua Bengio et al.   COMMUNICATIONS OF THE ACM

Facilitators and inhibitors for integrating expertise diversity in innovation teams: The case of plasmid exchange in molecular biology

(2021) Michael A. Zaggl et al.   RESEARCH POLICY

A personal adversity model of justifying the costs of entrepreneurial action: The case of oil thieves in the Niger DELTA

(2021) Dean A. Shepherd et al.   JOURNAL OF BUSINESS VENTURING

In the heat of the game: Analogical abduction in a pragmatist account of entrepreneurial reasoning

(2021) Anastasia Sergeeva et al.   JOURNAL OF BUSINESS VENTURING

The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus

(2020) Justin B. Long et al.   JOURNAL OF MEDICAL SYSTEMS

Machine learning based customer sentiment analysis for recommending shoppers, shops based on customers’ review

(2020) Shanshan Yi et al.   Complex & Intelligent Systems

An AI boost for clinical trials

(2019) Marcus Woo   NATURE

Viewing Forced Climate Patterns Through an AI Lens

(2019) Elizabeth A. Barnes et al.   GEOPHYSICAL RESEARCH LETTERS

Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?

(2018) Stefano A. Bini   JOURNAL OF ARTHROPLASTY

Balance gate controlled deep neural network

(2018) Anji Liu et al.   NEUROCOMPUTING

The practical implementation of artificial intelligence technologies in medicine

(2018) Jianxing He et al.   NATURE MEDICINE

Psychological targeting as an effective approach to digital mass persuasion

(2017) S. C. Matz et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Programmable self-assembly in a thousand-robot swarm

(2014) M. Rubenstein et al.   SCIENCE