Sentences with phrase «predictive algorithms in»

Predictive algorithms in law are currently being trained exclusively on existing case law.

Not exact matches

These more structured data resources then provide the means for yet another application of AI - based algorithms, where the focus is on identifying patterns in data that ultimately provide the basis for predictive sales and marketing models.

«These predictive algorithms seem to do a good job when CRISPR is performed in cells or tissues in a dish, but whole genome sequencing has not been employed to look for all off - target effects in living animals,» says co-author Alexander Bassuk, MD, PhD, professor of pediatrics at the University of Iowa.

While drug use estimated from public health data is roughly equivalent across racial classifications (top), police using a predictive policing algorithm in Oakland, Calif., would target black people at roughly twice the rate of whites (bottom).

A new Journal of Internal Medicine article proposes that artificial intelligence tools, such as machine learning algorithms, have the potential for building predictive models for the diagnosis and treatment of diseases linked to imbalances in gut microbial communities, or microbiota.

Researchers use a unique, in silico predictive algorithm platform to select neoepitopes, which are similar to neoantigens, that can generate potent and specific T cell responses.

Similarly, a rule - in algorithm based on troponin I levels provided a high positive predictive value with 83 %.

This paleo climatic data and the distribution of archaeological sites associated with the HP, as well of that of the Still Bay tradition, which existed in the same environments about 5,000 years before (76,000 to 71,000 years ago), enabled the researchers to model the emergence of these traditions with two predictive algorithms that permitted them to reconstruct the ecological niche associated with each tradition and determine whether these niches differed significantly through time.

The time - lapse system used in the new study uses objective visual evidence and automated predictive algorithms to enhance this conventional approach.

So AI is already superior in repetitive and predictive tasks, tasks that hinge on computational power, classifying huge amounts of data and inputs, making decisions based on concrete rules — with fewer biases than humans, but still induced by algorithms and data sets chosen by humans.

We use basic multiple linear regression models along with factors in the US Census data that relate to community social capital and family human capital to create predictive algorithms.

Shifts are very fast — we leave the torque converter locked and use the same kind of predictive algorithm found in dual - clutch [automatics] to prepare the next likely shift.»

It will find what you need in an intelligent fashion using Amazon's own predictive algorithms to determine what the most important parts of a book are.

I'd love to set an «in - stock» amount for each print book, and let Amazon watch my sales, know my inventory level, and ship new Createspace books by using their predictive algorithms.

The primary role of the credit rating agencies is to develop predictive algorithms based on the information presented by the bureaus in their reports.

Progressing from screening for keyword to predictive coding in which algorithms use predictive analytics to determine the most relevant documents based on search

In Tim Knight's recent Slaw post on the black box of artificial intelligence, he talked about the importance of understanding the «how» of the underlying algorithms as we become more reliant on both their results and their predictive capabilities.

It takes that prior behavior — housed in huge volumes of data — and using space - age concepts such as machine learning, predictive modeling and intelligent algorithms, it makes predictions about future behavior.

Specifically, the judge, in that case, permitted the use of predictive coding for that review, a general term that at that time referred to programs that used algorithms to determine whether documents are relevant to a case.

And the issue is likely to gain traction as machine learning and predictive coding become more sophisticated, particularly since with deep learning (which learn autonomously), algorithms can reach a point where humans can often no longer explain or understand them, says Nicolas Vermeys, assistant director at Cyberjustice Laboratory in Montreal.

Having its origins in a Stanford University Law School and Computer Science Department project, Lex Machina analyzes data from a large number of sources and instances and, using a predictive algorithm, projects the outcome of a dispute constituted by a certain set of client facts.

Having it all in one central place makes it easier to parse them through these machine learning algorithms and start building predictive models for their operations.

The gadgets themselves will be able to leverage Google's machine learning solutions including predictive text algorithms in order to facilitate writing, according to the company.

Karlsruhe, Germany About Blog Blue Yonder, a company that uses algorithms developed for processing the data created as part of the CERN project for predictive modelling, regularly posts updates on its work and developments in Germany's Big Data ecosphere.

Not only has the San Francisco - based firm redefined the practice of home valuation in terms of accuracy — with a median error of 2.5 percent and declining every month as the company's algorithms process more data — it is helping real estate professionals set themselves apart with the burgeoning power of predictive analytics, elevating them from average real estate agent to invaluable financial advisor.

The ZapScore is the key component to the entire system, a predictive numerical rating for each consumer in the database scored by an algorithm 1 to 99 that rates how likely potential clients are to buy or sell a home in the next 60 to 120 days.

In 2014, we decided to package our expertise into algorithms based on these profiles and «big data» techniques of machine learning and predictive analytics.