Artificial intelligence (AI) helps doctors make better diagnoses, scientists create new materials, farmers grow crops more effectively and all of us driving cars - and millions of other applications. This topic also covers subsets of AI such as machine learning (ML), deep learning and neural networks.
Imagine scribbling down some notes using your mind, and Ā A.I. interprets those thoughts into writing. Brain-computer interfaces allow people to control computer inputs with their minds. While the technology is in its very early stages, it is showing great promise. Ā Especially for paralyzed people. People who are fully paralyzed,
š¢ Ā A fully autonomous ship will soon retrace the path of a 400-year-old journey from the United Kingdom to the United States. The new AI-updated version of the Mayflower [https://interestingengineering.com/a-fully-autonomous-ship-will-set-sail-across-the-atlantic-ocean] , with zero passengers and crew members, will take approximately two weeks to cross the Atlantic. As the BBC
The narratives about automation and its impact on jobs go from urgent [https://www.theguardian.com/commentisfree/2018/aug/06/automation-destroy-millions-jobs-change] to hopeful [https://www.vox.com/a/new-economy-future/manual-labor-luxury-good] and everything in between. Regardless where you land, itās hard to argue against the idea that technologies like AI
Medicine is one of the hottest fields [https://singularityhub.com/2019/08/26/how-much-is-ai-really-moving-the-needle-on-health/] when it comes to applying AI to real-world problems, in particular using deep learning systems to detect disease in medical imagery. There have been promising early results, in particular DeepMindās work on eye disease [https:
Poker is a powerful combination of strategy and intuition, something thatās made it the most iconic of card games and devilishly difficult for machines to master. Now an AI built by Facebook and Carnegie Mellon University has managed to beat top professionals in a multiplayer version of the game
Elon Musk usually isnāt one for advocating regulation and oversight. But when it comes to AI, he doesnāt mince words. AI is humanityās ābiggest existential threat [https://www.theguardian.com/technology/2014/oct/27/elon-musk-artificial-intelligence-ai-biggest-existential-threat] ,ā he once proclaimed to some controversy. While that statement may be overblown,
Artificial intelligence [https://singularityhub.com/tag/artificial-intelligence/] is one of the most celebrated and hyped concepts today. From science fiction to the nightly news, AI has been making record headlines, whether it will become the most dangerous technology around or the one most likely to save humanity. And it isnā
During the past 50 years, the frequency of recorded natural disasters has surged nearly five-fold. In this blog, Iāll be exploring how converging exponential technologies [https://singularityhub.com/2017/12/29/what-are-the-6-ds-of-exponential-organizations/] (AI [https://singularityhub.com/tag/artificial-intelligence/], robotics [https://singularityhub.com/tag/robotics/], drones [https://singularityhub.com/tag/
Quantum supremacy sounds like something out of a Marvel movie. But for scientists working at the forefront of quantum computing, the hopeāand hypeāof this fundamentally different method of processing information is very real. Thanks to the quirky properties of quantum mechanics (hereās a nifty primer [https://singularityhub.