Getting your head around machine learning and artificial intelligence
isn't easy. We're here to help you understand why one is real and the
other remains a dream – for now, as Computerworld reports.
If artificial intelligence (AI) is the Holy Grail of software development, machine learning is its real-world, less-sexy cousin.
There's another difference between the two, which are often seen as two sides of the same coin: Machine learning is already in use
as algorithms tackle everything from data security to financial
transactions to app development, online search and even the directions
you get from your smartphone. It can even suss out fake goods.
AI, by contrast, remains a, shall we say, "aspirational" dream. That's how Infoworld's Serdar Yegulalp explains it to PC World's Michael Simon and Computerworld's
Ken Mingis in this episode of Tech Talk. Our tech trio dug down into
the weeds on both topics, with Yegulalp leading the discussion.
In essense, think of machine learning as a set of algorithms
designed to enhance the behavior of existing software. Plain and
simple, it's a tool, Yegulalp says. And as such, it's already being used
in a variety of industries – a trend likely to continue and accelerate
over the next 5 to 10 years.
Read more...
Source: Computerworld