#Artificial Intelligence (AI)

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Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

Learn more.

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Announcement Bob Kuszewski · Jun 14, 2021

We’re looking for Python developers to participate in our Embedded Python Early Access Program!  If you (or someone you know) are a Python developer and are interested, please contact us via the email address below.

InterSystems is bringing the power and simplicity of Python to IRIS.  We’re hard at work integrating Python directly into the IRIS kernel, making it a full peer to ObjectScript.

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Announcement Derek Robinson · Apr 14, 2021

Episode 17 of Data Points features a roundtable conversation with Carmen Logue, Benjamin De Boe, and Thomas Dyar about the Analytics & AI area of the InterSystems technology stack. Learn from these product experts about the various technologies and partnerships that exist within the Analytics & AI space at InterSystems, how some customers use these tools, and what might be coming in the future.

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Article Sergey Lukyanchikov · Apr 7, 2021 9m read

What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see our effort to suggest an “applied” definition) though partitioned across several computers that are not clustered together (neither data-wise, nor via applications, not by providing access to particular computers in principle). I.e., ideally, distributed artificial intelligence should be arranged in such a way that none of the computers participating in that “distribution” have direct access to data nor applications of another computer: the only alternative becomes transmission of data samples and executable scripts via “transparent” messaging. Any deviations from that ideal should lead to an advent of “partially distributed artificial intelligence” – an example being distributed data with a central application server. Or its inverse. One way or the other, we obtain as a result a set of “federated” models (i.e., either models trained each on their own data sources, or each trained by their own algorithms, or “both at once”).

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Announcement Anastasia Dyubaylo · Jan 11, 2021

Hey Community,

We're pleased to invite you to the InterSystems AI+ML Summit 2021, which will be held virtually from January 25 to February 4! Join us for a two-week event that ranges from thought leadership to technical sessions and even 1:1 “Ask the Expert” sessions. 

The sessions will be in both German and English. And this summit is free to attend!

See details below:

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Article HMI Corporation · Jan 27, 2021 4m read

Artificial intelligence has solved countless human challenges – and medical coding might be next.
As organizations prepare for ICD-11, medical coding is about to become more complicated. Healthcare organizations in the United States already manage 140,000+ codes in ICD-10. With ICD-11, that number will rise.
Some propose artificial intelligence as a solution. AI could aid computer-based medical coding systems, identifying errors, enhancing patient care, and optimizing revenue cycles, among other benefits.

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Announcement Anastasia Dyubaylo · Dec 28, 2020

Hi Community,

We're pleased to invite you to the online meetup with the winners of the InterSystems Analytics Contest!

Date & Time: Monday, January 4, 2021 – 10:00 EDT

What awaits you at this virtual Meetup? 

  • Our winners' bios.
  • Short demos on their applications.
  • An open discussion about technologies being used, bonuses, questions. Plans for the next contests.

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Announcement Anastasia Dyubaylo · Dec 21, 2020

Hey Developers,

This week is a voting week for the InterSystems Analytics Contest! So, it's time to give your vote to the best solutions built with InterSystems IRIS.

🔥 You decide: VOTING IS HERE 🔥

How to vote? 

Please meet the new voting engine and algorithm for the Experts and Community nomination:

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Announcement Anastasia Dyubaylo · Dec 5, 2020

Hi Community!

We are pleased to invite all the developers to the upcoming InterSystems Analytics Contest Kick-off Webinar! The topic of this webinar is dedicated to the Analytics contest.

On this webinar, we’ll demo the iris-analytics-template and answer the questions on how to develop, build, and deploy Analytics applications using InterSystems IRIS.

Date & Time: Monday, December 7 — 12:00 PM EDT

Speakers:  
🗣 @Carmen Logue, InterSystems Product Manager - Analytics and AI
🗣 @Evgeny Shvarov, InterSystems Developer Ecosystem Manager


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InterSystems Official Thomas Dyar · Oct 21, 2020

GA releases are now published for the 2020.3 version of InterSystems IRIS, IRIS for Health, with IntegratedML!

This is the first InterSystems IRIS release that includes IntegratedML, a new feature that brings "best of breed" machine learning to analysts and developers via simple and intuitive SQL syntax. Developers can now easily train and deploy powerful predictive models from within IRIS, right where their data lives. Documentation for IntegratedML is available as a User Guide. Virtual Summit 2020 features a number of sessions and an Experience Lab featuring IntegratedML, see overview here.

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Article Zhong Li · Apr 16, 2020 12m read

Keywords: COVID-19, Medical Imaging, Deep Learning, PACS Viewer, and HealthShare.

Purpose

We are all gripped by this unprecedented Covid-19 pandemic. While supporting our customers in battlefields by any means, we also observed various fighting fronts against Covid-19 by leveraging today's AI powers. 

Last year I briefly touched a deep learning demo environment.

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Article Zhong Li · Sep 6, 2020 18m read

Keywords:  IRIS, IntegratedML, Flask, FastAPI, Tensorflow Serving, HAProxy, Docker, Covid-19

Purpose:

We touched on some quick demos of  deep learning and machine learning over the past few months, including a simple Covid-19 X-Ray image classifier and a Covid-19  lab result classifier for possible ICU admissions.  We also touched on an IntegratedML demo implementation of the ICU classifier.

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Article Zhong Li · Aug 22, 2020 24m read

Keywords:  IRIS, IntegratedML, Machine Learning, Covid-19, Kaggle 

Purpose

Recently I noticed a Kaggle dataset  for the prediction of whether a Covid-19 patient will be admitted to ICU.  It is a spreadsheet of 1925 encounter records of 231 columns of vital signs and observations, with the last column of "ICU" being 1 for Yes or 0 for No. The task is to predict whether a patient will be admitted to ICU based on known data.

This dataset seems to be a good example of what's called "traditional ML" task. The data seem to have the right quantity and relatively right quality.

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Article Renato Banzai · Jul 19, 2020 3m read

This is the third post of a series explaining how to create an end-to-end Machine Learning system.

Training a Machine Learning Model

When you work with machine learning is common to hear this work: training. Do you what training mean in a ML Pipeline? Training could mean all the development process of a machine learning model OR the specific point in all development process that uses training data and results in a machine learning model.

pictureSource

So Machine Learning Models are not equal Common Applications?

In the very last point it looks like a normal application.

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Announcement Anastasia Dyubaylo · Jul 20, 2020

Hi Community!

We're pleased to invite you to the Online Meetup with the Winners of the InterSystems IRIS AI Programming Contest!

Date & Time: Friday, July 24, 2020 – 11:00 EDT

What awaits you at this virtual Meetup? 

  • Our winners' bios.
  • Short demos on their applications.
  • A short interview with all the winners about the past contest. Plans for the next contests.

 

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Article Renato Banzai · Jul 14, 2020 5m read

This is my introduction to a series of posts explaining how to create an end-to-end Machine Learning system.

Starting with one problem

Our IRIS Development Community has several posts without tags or wrong tagged. As the posts keep growing the organization of each tag and the experience of any community member browsing the subjects tends to decrease.

First solutions in mind

We can think some usual solutions for this scenario, like:

  • Take a volunteer to read all posts and fix the mistakes.
  • Pay a company to fix all mistakes.
  • Send an email to each post writer to review the texts from past.
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Announcement Anastasia Dyubaylo · Jul 13, 2020

Hey Developers!

This week is a voting week for the InterSystems IRIS AI Programming Contest!

So, it's time to give your vote to the best AI- and ML-enabled solution on InterSystems IRIS!

🔥 You decide: VOTING IS HERE 🔥

 

How to vote? This is easy: you will have one vote, and your vote goes either in Experts Nomination or in Community Nomination.

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