In 'The current state of machine intelligence 2.0', Shivon Zilis stated one of biggest changes seen over past year is startups shifting away from building broad technology platforms with “machine intelligence as magic box” to focusing on solving specific business problems to deliver real value.
In early October, an Apple spokesperson confirmed that the company acquired machine learning startup Perceptio. Experts speculated that the inclusion of Perceptio’s past artificial intelligence system and information could help develop the tech giant’s security protocol. The advanced AI system for smartphones will allow users to access different files without the need to share as much data.
Driverless cars will need to make the same complex, split-second decisions in traffic that people do before we set those autonomous vehicles loose on public roads. A new way of training automotive vision systems that relies on an artificial intelligence training technique called “deep learning” could shorten the road to full autonomy.
Simon Colton is professor of digital games technology at Falmouth University, and of Computational Creativity at Goldsmiths College in London. He works on software that behaves in ways that would be deemed creative if seen in humans.
I want to argue yes. I am not a pessimist though and even very optimistic, as you will find, but for now just clear your mind and hear me out. I basically have three main arguments. They all concern data.
<a target="_blank" href="https://www.linkedin.com/in/prmurphy"><b>Paul Murphy</b></a><b> is CEO of </b><a target="_blank" href="http://clarify.io/"><b>Clarify</b></a><b>, platform that makes media content extraction and search easy ...