How should modern enterprises go about implementing artificial intelligence? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.
Artificial intelligence will not destroy us, but it may make us discriminate against each other, says Teemu Roos, associate professor of computer science.
The garment wirelessly transmits the wearer’s heart rhythm to a mobile device, and can accurately identify an unusual heart rhythm that could cause a sudden cardiac arrest.
At 2018’s Restaurant and Bar Tech Live show, point of sale (PoS) and payments specialist, Lolly, launched the first-to-market entry level PoS and self-serve platform.
Researchers at the University of Connecticut and University of Toronto have developed artificial skin that could give its wearer — robotic or human — superhuman capabilities.
San Francisco, unsurprisingly, has decided that the solution to the city’s homelessness problem is to gather and analyze personal data.
Artificial intelligence (AI), natural language processing (NLP), machine learning (ML), deep learning and neural networks represent powerful software-based techniques used to solve many problems.
Data analytics and automated robotic processes – two concepts that have become business game-changers.
The words "intelligent edge" or "edge computing" sound, well, cutting-edge and may evoke a feeling of pushing the technological envelope even for those who don't know what the terms mean.
A philosopher from the University of Houston has taken a different approach, deconstructing the complex neural networks used in machine learning to shed light on how humans process abstract learning.
Companies new to the space can learn a great deal from early adopters who have invested billions into AI and are now beginning to reap a range of benefits.