Newscycle Solutions, a supplier of real-time content for
financial industries, corporate intelligence and the news media, has gotten a
patent for a new technique in unsupervised learning, the company says. The
technology uses methods in the NewsEdge software for clustering like content.
“The
challenge of unsupervised learning is this: take a huge sample of individuals
(or individual things, like news articles), and group like-with-like,” said
Lawrence C. Rafsky, chief artificial intelligence/machine learning scientist at
Acquire Media, a Newscycle company. Rafsky created the technique in
collaboration with Jonathan A. Marshall.
Rafsky said
that there are numerous other techniques for unsupervised learning, but the
Newscycle-patented solution is unique in that it runs in real time and gets an
exact answer to the underlying combinatorial minimization problem. “It’s
super-fast and we get the exact answer, whereas other techniques just arrive at
an approximation,” he said.
Newscycle’s
NewsEdge content-as-a-service solution uses the algorithm to group more than
750,000 news articles a day into buckets of single-themed news events,
continuously throughout the day, in real time. However, its creators note that
it could have applications in other industries as well.
U.S. Patent
#10,216,829 was issued Feb 26, 2019.
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