Researchers from New York University are designing AI algorithms to help predict COVID-19 outcomes.
Academic rigour, journalistic flair
Articles on Machine learning
Displaying 1 - 20 of 153 articles
The scientific community is churning out vast quantities of research about the coronavirus pandemic – far too much for researchers to absorb. An AI system aims to do the heavy lifting for them.
Design bloggers have long had creeping suspicion, so a team of researchers decided to analyze the aesthetics of nearly 10,000 websites.
Job ads are 12% lower than expected this year.
Driverless vehicles rely heavily on sensors to navigate the world. They're vulnerable to attack if bad actors trick them into 'seeing' things that aren't there, potentially leading to deadly crashes.
Machine learning technology was first to sound the alarm about the new coronavirus. Its success illustrates how AI is boosting epidemiology.
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.
Social media platforms are increasingly offering mental health support tools to users. The jury is still out on whether it will do any good
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.
Machines mostly innovate on narrow dataset, which limits their creativity.
Advancements in data analytics can prevent food wastage and save farmers from significant losses along the fresh produce value chain.
Traditional companies need to embrace high-quality data gathering to avoid being left behind by the next industrial revolution.
A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that are fair.
A project involving tens of millions of patient records poses ethical issues, even though patients could ultimately gain. Here's why privacy concerns are a hurdle.
Beware those who say it is a solved problem.
On October 23 Google announced that it built a quantum computer thousands of times faster than classic computers. This could have immense impacts on finance, cryptography and other fields.
Google's Smart Compose feature is meant to help deal with the deluge of email, but does it increase the pressure to respond quicker?
Algorithm-based apps can recommend clothes based on what other people have worn, but they have a long way to go before they understand fashion.
Top contributors
-
Professor in Robotics, Queensland University of Technology
-
Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
-
Professor of Computer Science, Queen Mary University of London
-
Professor of Machine Learning, University of Sheffield
-
Professor, ESCP Business School
-
Professor of Business & Economics, Arizona State University
-
Professor, Director of the Art & AI Lab, Rutgers University
-
Associate research scientist Cambridge Judge Business School and lecturer GEM, Grenoble École de Management (GEM)
-
Professor of Neuroscience and Mathematics, The University of Queensland
-
Head of the Marketing Innovation and Distribution Program at EMLV, Pôle Léonard de Vinci – UGEI
-
Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
-
Associate Professor of Information Systems, Michigan State University
-
Professor of Computer Science; Director, Computer Vision and Machine Learning Lab, University at Albany, State University of New York
-
Professor of AI at UNSW, Research Group Leader, Data61
-
Director of UWA Centre for Software Practice, University of Western Australia
