Not exact matches
The consultants estimate that the use of such surgical technology, which includes
machine learning and other forms of AI, will
result not only in better outcomes but also in a 21 percent reduction in the length of patient hospital stays.
RankBrain is the name given to the
machine learning system that's used to help the Google search engine process and formulate the appropriate
results for a given search.
Amazon has intensively used
machine learning to determine the best product recommendations for its customers, and Google, Facebook and Microsoft use it to deliver both better search
results and news feeds — in addition to their mission - critical deliverable: serving hyper - targeted advertising.
«If we add
machine learning, the field of study that allows computers to self -
learn without specific programming to do so, to existing artificial intelligence (A.I.), the
resulting machines will be better able to diagnose and heal patients than their human counterparts can now,» he notes.
Machine learning, on the other hand,
results in predictable responses and useful predictions.
But the
machine -
learning analysis these University of Colorado medical school researchers used found the opposite
result when they looked at red meat consumption among the same Framingham study participants.
Of course there is the Cardiovascular Heart Study and the Atherosclerosis Risk in Communities Study, which were the studies against which the Colorado researchers compared their
machine -
learning results.
The
machine -
learning - based model by Medial EarlySign used data found in EHRs, such as laboratory tests
results, demographics, medication, and diagnostic codes, to predict a patient's risk of experiencing renal dysfunction.
Even in 2016, AI and
machine learning won't get you
results without your own touch of strategy and creativity.
Google's using a
machine learning technology called RankBrain to help deliver its search
results.
Google's
machine learning will get smarter and as a
result, it will allow the search engine to match the content that is correlated with a user's intent, using link profile data.
Acting as an invisible layer, XSense shows
results within minutes by collecting data from around the OT Network and utilizing Big Data and
Machine Learning to better understand the its operational behavior.
The company provides actionable intelligence to enterprises, targeting their customers, combining
machine learning and data science with true personalization and multichannel delivery to reach customers most effectively, maximizing engagement and
results.
Remarkably, every decision the system makes is the
result of
machine learning.
They then tested the new system's performance speed and consistency — how much the
results varied compared with the traditional manual tracing method (called «ground truth» in
machine learning).
The algorithm of Koch - Janusz and Ringel provides a qualitatively new approach: the internal data representations discovered by suitably designed
machine -
learning systems are often considered to be «obscure», but the
results yielded by their algorithm provide fundamental physical insight, reflecting the underlying structure of physical system.
«These pilot study
results give us preliminary proof of the concept that we can detect mood states in regular phone calls by analyzing broad features and properties of speech, without violating the privacy of those conversations,» says Karam, a postdoctoral fellow and specialist in
machine learning and speech analysis.
They tracked the
resulting neural activity using functional magnetic resonance imaging (fMRI) and, with the help of a
machine learning algorithm, showed they could classify the brain activity associated with each item.
The central problem with the paper is that it relies on this system «as the ground truth for labeling criminals, then concludes that the
resulting [
machine learning] is unbiased by human judgment,» Agüera y Arcas adds.
In addition to improved physics measurements, the
results could provide insight into how and why
machines learn.
However, when a
machine -
learning algorithm was applied to all of the data, thus making a multivariate decoding of data possible, positive
results were observed in the entire temporal lobe, and even beyond it.
Branson said she is happy to share her data with others after first publishing her own
results, and her team has made its
machine learning software (the Janelia Automatic Animal Behavior Annotator) freely available for download.
That may not seem like a big deal, but the
result means that researchers are a step closer to using such computers for complicated
machine learning problems like pattern recognition and computer vision.
Fourches and Jeremy Ash, a graduate student in bioinformatics, decided to incorporate the
results of molecular dynamics calculations — all - atom simulations of how a particular compound moves in the binding pocket of a protein — into prediction models based on
machine learning.
The
results, based on techniques adapted from artificial intelligence (AI) and
machine learning, are published in the journal Energy & Environmental Science.
«In many cases, though, researchers are less interested in the
result and far more interested in what the neural network actually does — how it reaches decisions,» says Dr. Wojciech Samek, head of the
Machine Learning Group at Fraunhofer Heinrich Hertz Institute HHI in Berlin.
Speech recognition systems, such as those that convert speech to text on cellphones, are generally the
result of
machine learning.
As a
result,
machine learning for science needs to peer inside the black box and understand why and how computers reached the conclusions they reached.
Discussions are already underway to apply the
machine learning tools to data from actual heavy - ion collision experiments, and the simulated
results should be helpful in training neural networks to interpret the real data.
Vadhan pointed to regression,
machine learning, and social network analysis as areas where there are very promising theoretical
results, but challenges remain to making differential privacy work well in practice.
My next meeting today is about how to apply our criticality approach, coupled to new
machine -
learning results that are able to find phases of matter for physical systems, to either political data or market data.
While the models haven't been used clinically yet, researchers said the
machine learning algorithms have the potential to substantially improve diagnostics and triaging,
resulting in improved treatments for sepsis, which kills at least 250,000 Americans each year, according to the Centers for Disease Control and Prevention (CDC).
Just getting started While other groups have used
machine learning to come up with predictions about where different kinds of metallic glass can be found, Mehta said, «The unique thing we have done is to rapidly verify our predictions with experimental measurements and then repeatedly cycle the
results back into the next round of
machine learning and experiments.»
Prabhat points out that initial supervised training
results show that this analogy is correct in that
machine learning was able to train and recognize each of three desired atmospheric phenomena with high accuracy.
The lower two graphs are the
results from the
machine learning algorithm, which discovered the protein families that had similar patterns in the remaining 9,900 protein families.
Further, these
machine learning based
results can be used to validate the climate models so we have confidence in the future predictions of these models.
Because of the lab's speed and volume, Hodak says that some companies are tracking their experimental runs with
machine learning algorithms, which then analyze the
results and churn out suggestions for the next set.
Once you
learn how to use free weights correctly, you may later, if you want, experiment with different
machines to see if they provide satisfactory
results for you.
In this post you will
learn how to perform
machine shrug safely and effectively to achieve maximum
results from this great isolation exercise for the trapezius muscle.
It was maybe my second time using a sewing
machine but I was so determined to
learn that the
result actually turned out okay.
About Blog Timely virtual assistant for football / soccer
results and analytics reports using natural language generation (NLG),
machine learning, artificial intelligence and big data analytics.
-- The Matching Team is continuously refining eHarmony algorithms, harnessing the company's expertise in big data and
machine learning,
resulting in even more highly compatible matches
Then, as students progress through the platform's
learning activities, the
results from both the
machine - graded and human - graded standardized assessment items are incorporated to create a complete and robust picture of the students» mastery of
learning standards.
This is another case arguing for the necessity of modern
machine learning algorithms to be transparent and accountable at each computational, decision making step, especially when the
results were impactful to life - changing human decision making.
The idea behind the browser is impressive enough to be worth bragging about, but the fact that the eventual
results rely on Amazon's
machine learning algorithms means that it would inevitably take time to get the best out of it.
About Blog Timely virtual assistant for football / soccer
results and analytics reports using natural language generation (NLG),
machine learning, artificial intelligence and big data analytics.
«Many
machine learning techniques
result in models of the data that consist of, say, hundreds of thousands to millions of numerical weights used to determine how input data is transformed to output.
At the firm, we have not only been experimenting with
machine learning for a while now (with promising
results), but actually use the technology in our day - to - day work.
That, along with the proliferation of technology in the legal space — particularly
machine learning — will ultimately lead to this
result: The sacrosanct wall between lawyer and client will fall,
resulting in the delivery of more efficient and client - focused legal services.
«To make our selection, we pressure - tested emerging abstraction technologies with real world contract sets, and found that the
machine learning technology employed by eBrevia delivered consistent
results while offering excellent project management and quality control features,» he addd.