Machine Learning & Data…Where You’d Least Expect It
Since the concept of “machines learning” was introduced in the 1950s, the field has gone from a cryptic domain understood by a few (Turing, Markov, Legendre, Laplace or Bayes) to a technology that every company mus
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Sustainability in the Age of Big Data
Armed with a healthy sense of skepticism, ULI Greenprint members are evaluating a range of tech-based approaches to augment savings already achieved through Greenprint’s shared-data benchmarking.
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Machine learning to optimize traffic and reduce pollution
Applying artificial intelligence to self-driving cars to smooth traffic, reduce fuel consumption, and improve air quality predictions may sound like the stuff of science fiction, but researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have launched two research projects to do just that.
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