Nigeria’s education system must embrace artificial intelligence technologies to join the fourth industrial revolution.
Rigor académico, oficio periodístico
Artículos sobre Artificial intelligence (AI)
Mostrando 801 - 820 de 1328 artículos
The internet has allowed pseudoscience to flourish. Artificial intelligence could help steer people away from the bad information.
Based on current available data, our model predicts by March 31, the number of deaths worldwide will surpass 4,500 and confirmed COVID-19 cases will reach about 150,000.
PODCAST: The third part of a series from The Anthill podcast on how personalised medicine may become in the future.
Machine learning technology was first to sound the alarm about the new coronavirus. Its success illustrates how AI is boosting epidemiology.
You’d thinking flying in a plane would be more dangerous than driving a car. In reality it’s much safer, partly because the aviation industry is heavily regulated. Airlines must stick to strict standards…
We created a reading-machine that finds poetry hidden in plain sight in popular books. In doing so, we are exploring Natural Language Processing, Machine Learning and reading in a digitised world.
What’s more, higher education holds the key to ensuring humans are equipped with the necessary skills to work alongside AI.
Having robots and other AI systems tell people what the AIs are doing makes them more trustworthy. A study finds that how a robot explains itself matters.
Pathogens rapidly evolve resistance to antibiotics. AI could keep us a step ahead of deadly infections.
The use of online health platforms is on the rise, allowing us to track and share our personal data. While such platforms have promise, significant scientific, ethical and privacy questions remains.
States are increasingly turning to machine learning and algorithms to detect fraud in food stamps, Medicaid and other welfare programs – despite little evidence of actual fraud.
The knowledge produced in designing and developing artificial neural networks may provide new insights into how our brains work.
Data privacy regulations are being adopted to protect internet users. Today, humans need to read those rules to ensure compliance. New research suggests machines could interpret them in real time.
Machines mostly innovate on narrow dataset, which limits their creativity.
Attitudes about data entry are complex, despite a recent study suggesting it’s the most despised workplace task.
No one knows exactly how AI-based DNA analysis software works, so it can’t be scrutinised in court.
From wearables with monitoring chips to face scanners that assess your contentment, workplace surveillance seems to be going in one direction.
Our research uses artificial intelligence to unblock hospital beds and helps doctors and nurses to know quickly which patients are safe to go home.
The digital economy will, soon, become the ordinary economy as the uptake - and application - of digital technologies in every sector in the world grows.
Principales colaboradores
-
Professor of AI, Research Group Leader, UNSW Sydney
-
Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
-
Professor in Robotics, Queensland University of Technology
-
Professor of Information Systems, Michigan State University
-
PhD in machine ethics, University of Canterbury
-
Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
-
Assistant Professor, Psychology, Concordia University
-
Professor, Queensland University of Technology
-
Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
-
Adjunct Lecturer in Public Policy, Harvard Kennedy School
-
James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
-
Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
-
Lecturer in Business Analytics, University of Sydney
-
Professor of Artificial Intelligence, University of Bath
-
Professor of Cognitive Neuroscience and Director of the Sheffield Robotics Institute, University of Sheffield
