Several methods can teach an algorithm to learn. With more or less important datasets, which are or are not previously labeled and categorized.
Academic rigour, journalistic flair
Articles on Artificial intelligence (AI)
Displaying 1161 - 1180 of 1358 articles
Neuralink is probably a dangerous idea, but to the first person who fell into a firepit, so was fire.
How far would you go to better your life, to live longer, to beat death? And how much can technology help us in that quest?
Robots are strange creatures, and not only because they might steal our jobs. We humans actually have good reason to be a little worried about these machines.
A universal basic income would enable people to embrace the gig economy and give them greater leverage in the jobs they choose.
How do you punish a criminal robot?
Brain-computer interfacing is a hot topic in the tech world, with Elon Musk’s announcement of his new Neuralink startup. Here, researchers separate what’s science from what’s currently still fiction.
The latest remake of Ghost in the Shell ducks the philosophical questions posed by the cyborg technology of the future.
The Astronomer Royal answers some of the world’s – and the universe’s – biggest questions.
It’s a slow process, but billionaires like Musk push boundaries and help researchers set long-term goals for developing brain-computer interfaces.
Rather than replace humans, AI could actually boost our creativity.
A former animal trainer explains how we might usefully think about the limitations of artificial intelligence systems.
New technologies are developing with exponential velocity, breadth and depth. Their systemic impact is likely to be profound.
Today, the U.S. is leading the robotics revolution. But without timely investment, China will overtake us, and could permanently put Americans out of work.
The technology needed to create a real Star Trek-like Holodeck is not that far out of reach.
Humans need greater autonomy than Isaac Asimov’s neat science fiction idea permits.
Today’s robots and artificial intelligence look very different from the androids conceived by Isaac Asimov.
What do we need to learn today to work with the robots of tomorrow?
In the face of recent political events in Britain and America, sci-fi imaginings of the ‘citizens of the future’ have taken on a new resonance.
For a driverless car to be safer than one driven by a person it must know what’s going on around it. But making a system that can “see” is a challenge for tech companies.
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
-
Assistant Professor, Psychology, Concordia University
-
Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
-
Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
-
Professor, Queensland University of Technology
-
Senior Lecturer in Visual Communication & Digital Media, RMIT University
-
Adjunct Lecturer in Public Policy, Harvard Kennedy School
-
Lecturer in Business Analytics, University of Sydney
-
Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
-
James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
-
Professor of Community Information, University of Michigan
