Sentences with phrase «on machine learned models»

I discuss how we take a billion + potential matches that we find through MongoDB, store them in a Voldemort NoSQL datastore, and then run multiple Hadoop jobs to come up with a filtered list based on Machine Learned models.

Specifically, I discuss how we take a billion + potential matches that we find through MongoDB, store them in a Voldemort NoSQL datastore, and then run multiple Hadoop jobs to come up with a filtered list based on Machine Learned models.

Not exact matches

The technical challenge they had embarked on was indeed daunting, requiring models for turning speech, with all its nuances and inflections, into neatly labeled data that can be fed into machine - learning algorithms, which would then try to extract behavioral patterns from it.

Ebay wanted to create a machine learning model to identify age - restricted content on their marketplace

Less obvious, we believe, are the opportunities emerging for enterprise software - as - a-service (SaaS) application companies as machine learning advances and as customers embrace SaaS deployment models over more cumbersome «on - premise» technology deployments (meaning those installed in an enterprise's data center).

Manuel, currently a machine learning researcher with Google, was the lead author on a paper with Sowers which explored a mathematical model for determining the optimal time for transporting a strawberry crop from the field to cold storage.

The model has thus learned to note when you fixate on text in a characteristic pattern which we could not have described in advance,» explains PhD Sigrid Klerke who has just defended her PhD thesis «Glimpsed — improving natural language processing with gaze data» on how gaze data can be used to improve technology such as machine translation and automatic text simplification.

The method is based on Approximate Bayesian Computation (ABC), which is a machine learning method that has been developed to infer very complex models from observations, with uses in climate sciences and epidemiology among others.

Goodfellow has been working on machine - learning models to let computers invent more dynamic narratives, which could go beyond limited scenarios such as planning out a series of chess moves — something computers have done extremely well for decades.

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.

And Monteleoni has developed machine - learning algorithms to create weighted averages of the roughly 30 climate models used by the Intergovernmental Panel on Climate Change.

Modern AI is based on machine learning which creates models by learning from data.

To this end, the researchers selected an approach based on machine learning that is often used in nature and wildlife conservation to develop models for the distribution of various species of plants and animals.

His recent research has focussed on physical models for classical and quantum machine learning, artificial intelligence and its applications in quantum experiment, and the problem of learning and agency in general.

I obtained my PhD degree in 2008 under the supervision of Prof. Bert Kappen in the SNN / Machine Learning group on the subject of approximate inference algorithms and Bayesian graphical models for genetic linkage analysis (Radboud University).

Peter Stevens felt privileged to be among the judges / Auto - biography: Gerry Michelmore — In the latest instalment of our interview series, we visit Carden cyclecar owner Gerry Michelmore and learn of his other interests / Lea - Francis by Corsica — Malcolm Bobbitt reports on a rare 1939 Super Sports model that has just emerged from long - term restoration / Rétromobile 2013 — We share some of the highlights from the annual pilgrimage to Paris, focusing on the rarest and most unusual machines on display / Made in Lyon: the Cognet de Seynes — This Lyonnaise company started making cars in 1912.

While we probably can't hope to just feed our models raw income statements and balance sheets, it may be that we can use somewhat normalized versions of these statements and let the machine learning process find what is important on its own.

Meanwhile NetDocuments on 29 January announced the creation of a new AI Marketplace, which it says is designed to streamline access to specific machine learning models from approved ND partners — and the first of those is none other than Kira Systems.

An organization that develops models and standards for electronic discovery has set its sights on developing guidance on technology assisted review (TAR)-- a process that involves using machine learning models to help classify documents.

Microsoft's new platform will enable all developers that create apps on Windows 10 to leverage existing pre-trained machine learning models in apps.

Researchers across academia and industry have applied called machine learning techniques — a method of computer programming that allows the programme to change when exposed to new data — to train models that can zero in on a person's playstyle, predict what the player will do in the future, and the kinds of problems that might hinder the player from enjoying the game.

In fact, the success of Polarr Photo Editor led to the creation of Album +, as the company already had a large data set on hand it could use to train its machine learning models.

has leveraged Google's cloud - based machine learning model to identify on sight which branch of a ramen chain a particular bowl of ramen comes from.

Part of my own research focuses on understanding machine learning methods, and my forthcoming book discusses how digital firms use recommendation models to build audiences.

The old one relied on a common machine learning technique known as a Gaussian Mixture Model.

Android 8.1 added a Neural Network API to accelerate on - device machine learning, with P supporting nine new ops, while the Pixel 2 gains a Qualcomm Hexagon HVX driver with acceleration for quantized models.

2017 saw the release of the Google Cloud Machine Learning (ML) Engine to help developers with ML expertise in creating models that work on data, and the Google Cloud is aiming to make its AI capabilities become one of its platform's major selling points.

These are generated by an on - watch machine learning model based on the context of the notification (no data is uploaded to the cloud to generate responses).

Google's Cloud AutoML is being released for the vision API and will let businesses create models, which rely on the vision - based machine learning.

Mike Gualtieri, VP at analyst house Forrester, said that while Microsoft offered simpler tools for firms building their own machine - learning models, the quality of the firm's on - demand, pre-trained speech, vision and language recognition services would likely be less effective than Google's because of the search giant's access to huge amounts of training data.

After getting his BS in Math Applications in Economics and Finance from U. Toronto, Sev went on to head an AI research initiative into financial prediction models using state of the art machine learning algorithms.

In order cut down on the amount of these annoying pleas, the company trained a machine learning model to detect engagement bait by reviewing and categorizing hundreds of thousands of posts tactics.

Jameson Toole is co-founder and CEO of Fritz, which helps developers optimize, deploy and manage machine learning models on mobile devices.

The Mate 10 uses on - device processing to build a model of how you use the phone and allocates resources accordingly with machine learning predicting user behavior.

You have knowledge and hands on experience with machine learning algorithms, feature engineering, and model validation and evaluation.

Mentored sophisticated organizations on large scale data and analytics using advanced statistical and machine learning models.