The world’s largest technology companies are making public the programming and hardware designs at the center of their businesses.
Academic rigour, journalistic flair
Articles on Artificial intelligence (AI)
Displaying 1281 - 1300 of 1388 articles
Intelligent machines are taking on many of the jobs once carried out by humans but that doesn’t mean we’ll have mass unemployment.
Some suggest half of current jobs will be lost to automation over the next decade or two. But it’s far too early to pit man versus machine.
As Valentine’s Day approaches, imagine if your date was not human, but a machine. Could there ever be a romantic bond between a human and a robot?
Robots and intelligent machines will one day takeover the tasks currently carried out by medical staff. But are we ready to place our health care in the hands of a machine?
While it’s impressive, developing a computer to win at Go is not a big step toward the type of artificial intelligence used by the thinking machines we see in the movies.
When it comes to weapons with artificial intelligence, there’s an argument for keeping a human in charge of some of the action.
Even the smartest AIs weren’t supposed to beat top humans at Go for another decade or more.
It won’t happen overnight but it will happen.
Humans can only do so much when it comes to diagnosing what’s wrong with a patient. So why not let machines take over? They learn faster than humans and never retire.
The field of computational creativity examines the mechanisms by which technology can perform creative tasks, particularly in the arts. How can software create works of beauty, value and meaning?
When facial recognition isn’t possible, it’s time to bring in the voice recognition experts.
As machines get ever more complex as we strive to make them complete more complex tasks, it’s time to ask again: will they ever be able to think? But what is thinking anyway?
The endeavor assumes that computers could manage billions of billions of cerebral connections. Alas, that’s not happening anytime soon.
Graphics chips originally built for 3D computer games such as Quake now power our most advanced artificial intelligence software.
Robots that can learn to ‘see’ the world around them – and share their learning with other robots – will lead the next revolution in robotics.
2015 was a year where we expanded our view of the universe, embraced new technologies and got a hint of the profound changes to come.
Robots that can reproduce could improve their design in ways we wouldn’t think of but still within our control.
The droids in the Star Wars universe often play a key role in the movies. But how close are they to some of the real robots in our own universe?
There are growing concerns about robots, artificial intelligence and automation. Now two new organisations are seeking to produce responsible robots and advance beneficial AI.
Top contributors
-
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
-
Professor, Queensland University of Technology
-
Assistant Professor, Psychology, Concordia University
-
Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
-
Adjunct Lecturer in Public Policy, Harvard Kennedy School
-
Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
-
Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
-
Lecturer in Business Analytics, University of Sydney
-
Senior Lecturer in Visual Communication & Digital Media, RMIT University
-
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
