#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.

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Article Henry Pereira · Aug 2, 2021 8m read

Let's fight against the machines!

Easy, easy, I'm not promoting a war against the machines in the best sci-fi way to avoid world domination of Ultron or Skynet. Not yet, not yet 🤔

I invite you to challenge the machines through the creation of a very simple game using ObjectScript with embedded Python.

I have to say that I got super excited with the feature of Embedded Python on InterSystems IRIS, it's incredible the bunch of possibilities that opens to create fantastic apps.

Let's build a tic tac toe, the rules are quite simple and I believe that everyone knows how to play.

#InterSystems IRIS #Artificial Intelligence (AI) #Best Practices #Embedded Python #Python
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Discussion Eduard Lebedyuk · Sep 16, 2022

txt2img

 
Several models, such as DALL-E, Midjourney, and StableDiffusion, became available recently. All these models generate digital images from natural language descriptions. The most interesting one, in my opinion, is StableDiffusion which is open source - released barely a few weeks ago. There's now an entire community trying to leverage it for various use cases.
#InterSystems IRIS #Artificial Intelligence (AI) #Machine Learning (ML)
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Question Luiz Silva · Sep 6, 2022

Receive an XML with ACTION with mustUnderstand=1 

Hi, guys, I need some help, I'm getting an XML from the Matrix application and in the header there's an Action that has the property mustUndertand = 1

<s:Envelope xmlns:s="http://schemas.xmlsoap.org/soap/envelope/">
  <s:Header>
    <Action s:mustUnderstand="1" xmlns="http://schemas.microsoft.com/ws/2005/05/addressing/none">http://protocolomatrix.matrixsaude.com/RecebeResultado</Action&gt;
  </s:Header>
  <s:Body xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">

No BS Receives but cannot handle the action.
#Ensemble #Artificial Intelligence (AI) #Business Service
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Article Ramil TK · Jul 29, 2022 4m read

Concept of Using Python to Detect Human Faces and Emotions

In this article, I am trying to identify the multiple areas to develop the features we can able to do using python and machine learning.

Each hospital is every moment trying to improve its quality of service and efficiency using technology and services. 

The healthcare sector is one of the very big and vast areas of service options available and python is one of the best technology for doing machine learning.

In every hospital, humans will come with some feelings, if this feeling will understand using technology is make a chance to provide better service.

#InterSystems IRIS #Artificial Intelligence (AI) #Machine Learning (ML) #Python
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Article Yuri Marx · Jun 1, 2022 6m read

Web app to Predict Maternal Risk using IRIS IntegratedML

Maternal Risk can be measured from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the scientist Yasir Hussein Shakir published a very useful dataset for training ML algorithms in the detection/prediction of Maternal Risk. This publication can be found on the largest and best known data repository for ML, Kaggle at https://www.kaggle.com/code/yasserhessein/classification-maternal-healt….

About the Dataset

#InterSystems IRIS #Artificial Intelligence (AI) #IntegratedML
Open Exchange
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Article Yuri Marx · May 31, 2022 9m read

Web App to Predict Kidney Disease using IRIS IntegratedML

Kidney Disease can be discovered from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the scientist Akshay Singh published a very useful dataset for training ML algorithms in the detection/prediction of kidney disease. This publication can be found on the largest and best known data repository for ML, Kaggle at https://www.kaggle.com/datasets/akshayksingh/kidney-disease-dataset.

About the Dataset

#InterSystems IRIS #Artificial Intelligence (AI) #IntegratedML
Open Exchange
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Article Yuri Marx · May 30, 2022 7m read

Web App to Predict Diabetes using IRIS IntegratedML

Diabetes can be discovered from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the National Institute of Diabetes and Digestive and Kidney Diseases published a very useful dataset for training ML algorithms in the detection/prediction of diabetes. This publication can be found on the largest and best known data repository for ML, Kaggle at https://www.kaggle.com/datasets/mathchi/diabetes-data-set.

#InterSystems IRIS #Artificial Intelligence (AI) #IntegratedML
Open Exchange
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Article Henry Pereira · Apr 6, 2022 7m read

So, Where's my money?

All of us know that money is important. We constantly need to monitor all expenses to avoid looking back to the bank statement and thinking: “So, where’s my money?”

To evade financial stress, we must keep an eye on the inflow and outflow of money into our accounts.It is also important to tack when and how we spend and earn. Manually recording all transactions in order to understand where our money goes requires an effort. It demands consistency, and it is boring. Today there is a bunch of mobile or SaaS options that help you manage your finances.

#InterSystems IRIS #Artificial Intelligence (AI) #Embedded Python #Vector Search
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Announcement Anastasia Dyubaylo · Jul 26, 2021

Online Meetup with the InterSystems AI Contest Winners

Hi Community,

We're pleased to invite you to the online meetup with the winners of the InterSystems AI contest!

Date & Time: Friday, July 30, 2021 – 11:00 AM EDT

What awaits you at this Virtual Meetup? 

  • Our winners' bios.
  • Short demos on their applications.
  • An open discussion about technologies being used. Q&A. Plans for the next contests.
#InterSystems IRIS #Open Exchange #Artificial Intelligence (AI) #Contest #Events #Machine Learning (ML) #Meetup
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Article Sergey Lukyanchikov · Jul 22, 2021 11m read

AI Robotization with InterSystems IRIS Data Platform

Fixing the terminology

A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the latter softens the initial definition in one paragraph and admits virtual form of a robot). A robot is an automate, from an algorithmic viewpoint, an automate for autonomous (algorithmic) execution of concrete tasks. A light detector that triggers street lights at night is a robot. An email software separating e-mails into “external” and “internal” is also a robot. Artificial intelligence (in an applied and narrow sense, Wikipedia interpreting it differently again) is algorithms for extracting dependencies from data. It will not execute any tasks on its own, for that one would need to implement it as concrete analytic processes (input data, plus models, plus output data, plus process control). The analytic process acting as an “artificial intelligence carrier” can be launched by a human or by a robot. It can be stopped by either of the two as well. And managed by any of them too.

#InterSystems IRIS #Artificial Intelligence (AI) #Convergent Analytics #Machine Learning (ML) #Vector Search
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Announcement Evgeny Shvarov · Jul 6, 2021

Technical Bonus Points for InterSystems AI/ML Contest

Hi Developers!

Here're the technology bonuses for the InterSystems IRIS AI contest that will give you extra points in the voting.

IntegratedML usage - 4 points

Use InterSystems IntegratedML in you AI/ML solution. Here is the template that uses it.

Be sure that the IRIS version is not less than 2021. The latest ML images with ZPM are:

intersystemsdc/iris-ml-community:2021.1.0.215.0-zpm
intersystemsdc/irishealth-ml-community:2021.1.0.215.0-zpm

R Gateway and Python gateway usage - 4 points

InterSystems IRIS 2021 release contains two new features - R gateway and Python gateway. Here is the template on how to use the R gateway. Here is a short demo of how to use it.

Embedded Python usage - 4 points

Embedded Python is a very new feature of InterSystems IRIS that gives you the option to use python as a "first-class citizen" in backend business logic development with InterSystems classes. Short demo of Embedded Python.

Embedded python could be used in "on-demand" images that could be delivered via InterSystems Early Access Program (EAP) if you refer to python-interest@intersystems.com.

Here is the template package on how to use Embedded Python deployable with ZPM. Don't forget to change the image to the one you get from the Early Access program.

PMML usage - 4 points

PMML  - Predictive Modelling Markup Language - can be used to build AI/ML solutions with InterSystems IRIS. Check with documentation.

There is an example in Open Exchange on how to use PMML.

#InterSystems IRIS #IRIS contest #Open Exchange #Artificial Intelligence (AI) #Contest #Embedded Python #Machine Learning (ML)
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Announcement Anastasia Dyubaylo · Jun 22, 2021

InterSystems AI Contest Kick-Off Webinar

Hi Community,

We're pleased to invite all the developers to the upcoming InterSystems AI Contest Kick-Off Webinar! The topic of this webinar is dedicated to the InterSystems AI programming contest.

During the webinar, we will demo how to load data into IRIS, how to deal with it using ODBC/JDBC and REST, and how to use special AI/ML features of IRIS: IntegratedML, DataRobot, R Gateway, Embedded Python, PMML.

Date & Time: Monday, June 28 — 11:00 AM EDT

Speakers:  
🗣 @Aleksandar Kovacevic, InterSystems Sales Engineer
🗣 @Théophile Thierry, InterSystems Intern
🗣 @Bob Kuszewski, Product Manager - Developer Experience, InterSystems  
🗣 @Evgeny Shvarov, InterSystems Developer Ecosystem Manager

#InterSystems IRIS #IRIS contest #Open Exchange #Artificial Intelligence (AI) #Contest #Embedded Python #Events #Machine Learning (ML) #Webinar
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Announcement Bob Kuszewski · Jun 14, 2021

Looking for Python Developers for IRIS Embedded Python early access program

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.

  • Use any of thousands of pre-built Python libraries
  • Easy access to IRIS from Python, and Python from ObjectScript
  • Mixed ObjectScript and Python classes
#InterSystems IRIS #InterSystems IRIS for Health #Artificial Intelligence (AI) #Early Access Program (EAP) #Embedded Python #Python
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