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idalab GmbH

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Key Facts

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Network

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Timeline

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Funding
Abschluss des Förderprojektes "Verbundprojekt: Datenanalytik und KI für sichere und zuverlässige Mobilität - DAYSTREAM -, Teilvorhaben: idalab GmbH" (BMVI 19F2031B)

Heute endet das Förderprojekt "Verbundprojekt: Datenanalytik und KI für sichere und zuverlässige Mobilität - DAYSTREAM -, Teilvorhaben: idalab GmbH". Es wurde vom BMVI unter dem Förderkennzeichen 19F2031B für die idalab GmbH mit einer Summe von 280983 Euro gefördert. Die Laufzeit des Projektes betrug 39 Monate.

Funding
Beginn des Förderprojektes "INALO: Intelligenter Alarmoptimierer für die Intensivstation" (BMBF 16SV8557)

Heute startet das Förderprojekt "INALO: Intelligenter Alarmoptimierer für die Intensivstation". Es wird vom BMBF unter dem Förderkennzeichen 16SV8557 für die idalab GmbH mit einer Summe von 249667 Euro gefördert. Die Laufzeit des Projektes beträgt 36 Monate.

Funding
Beginn des Förderprojektes "Verbundprojekt: Smart Inclusive Multi-Modal Mobility Services - Abbau von Barrieren und Diskriminierungshürden im Mobilitätsalltag - SIM3S -, Teilvorhaben: idalab GmbH" (BMVI 19F2058C)

Heute startet das Förderprojekt "Verbundprojekt: Smart Inclusive Multi-Modal Mobility Services - Abbau von Barrieren und Diskriminierungshürden im Mobilitätsalltag - SIM3S -, Teilvorhaben: idalab GmbH". Es wird vom BMVI unter dem Förderkennzeichen 19F2058C für die idalab GmbH mit einer Summe von 210299 Euro gefördert. Die Laufzeit des Projektes beträgt 36 Monate.

Funding
Abschluss des Förderprojektes "Verbundprojekt: ALICE II - Autonomes Lernen in komplexen Umgebungen 2 (Autonomous Learning in Complex Environments 2)" (BMBF 01IB15001C)

Heute endet das Förderprojekt "Verbundprojekt: ALICE II - Autonomes Lernen in komplexen Umgebungen 2 (Autonomous Learning in Complex Environments 2)". Es wurde vom BMBF unter dem Förderkennzeichen 01IB15001C für die idalab GmbH mit einer Summe von 23842 Euro gefördert. Die Laufzeit des Projektes betrug 42 Monate.

Funding
Beginn des Förderprojektes "Verbundprojekt: ALICE III - Autonomes Lernen in komplexen Umgebungen 3 (Autonomous Learning in Complex Environments 3)" (BMBF 01IS18049C)

Heute startet das Förderprojekt "Verbundprojekt: ALICE III - Autonomes Lernen in komplexen Umgebungen 3 (Autonomous Learning in Complex Environments 3)". Es wird vom BMBF unter dem Förderkennzeichen 01IS18049C für die idalab GmbH mit einer Summe von 128947 Euro gefördert. Die Laufzeit des Projektes beträgt 36 Monate.

assessment

Products & Services

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Consulting
Machine Learning
Künstliche Intelligenz
Implementierung
Entwicklung
Digitalisierung
Algorithmen
BigData
Modellierung
See all 10 entries

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idalab GmbH is mentioned in public sources in the context of the following products and services. Consulting, Machine Learning and Künstliche Intelligenz are the most common. The ranking list shown is without guarantee of completeness or correctness.

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Technology Profile

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Artificial IntelligenceKünstliche Intelligenz
Maschinelles Lernen
Mustererkennung
Natural Language Processing
Big DataBig Data Technology
Content ManagementWordpress
Corporate ITData Science
Deep Learning
Open Source
See all 13 entries

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The following software solutions, technologies and concepts are often referenced in job postings and press releases of idalab GmbH. Most frequently recognized were Künstliche Intelligenz, Data Science and Maschinelles Lernen.

code

Integration via API

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  1. curl \
  2. --silent \
  3. --request GET \
  4. --header "Content-Type: application/json" \
  5. --url "https://implisen.se/DEJGP93LUE66" | jq '.'
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  •  
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  1. require 'json'
  2. require 'net/http'
  3. uri = URI('https://implisen.se/DEJGP93LUE66')
  4. response = Net::HTTP.get(uri)
  5. puts JSON.parse(response)
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  •  
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  1. const https = require('https');
  2. https.get('https://implisen.se/DEJGP93LUE66', (response) => {
  3. let data = '';
  4. response.on('data', (chunk) => {
  5. data += chunk;
  6. });
  7. response.on('end', () => {
  8. console.log(JSON.parse(data));
  9. });
  10. });
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  •  
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  1. import urllib.request
  2. import json
  3. from pprint import pprint
  4. response = urllib.request.urlopen('https://implisen.se/DEJGP93LUE66').read()
  5. pprint(json.loads(response))
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  1. package main
  2. import( "net/http"
  3. "io/ioutil"
  4. "bytes"
  5. "encoding/json"
  6. "fmt"
  7. func main() {
  8. response, _ := http.Get("https://implisen.se/DEJGP93LUE66")
  9. defer response.Body.Close()
  10. payload, _ := ioutil.ReadAll(response.Body)
  11. var out bytes.Buffer
  12. json.Indent(&out, payload, "", " ")
  13. fmt.Println(string(out.Bytes()))
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Some cookies from this site are necessary for the functionality of this service or enhance the user experience. Since these cookies either do not contain any personal data (e.g. language preference) or are very short-lived (e.g. session ID), cookies from this group are mandatory and cannot be deactivated.Some cookies from this site are necessary for the functionality of this service or enhance the user experience. Since these cookies either do not contain any personal data (e.g. language preference) or are very short-lived (e.g. session ID), cookies from this group are mandatory and cannot be deactivated.
To improve our services, we use user statistics such as Google Analytics, which set cookies for user identification. Google Analytics is a service offered by a third party provider.Some cookies from this site are necessary for the functionality of this service or enhance the user experience. Since these cookies either do not contain any personal data (e.g. language preference) or are very short-lived (e.g. session ID), cookies from this group are mandatory and cannot be deactivated.
To improve our services we use proprietary marketing solutions from third parties. These solutions specifically include Google AdWords and Google Optimize, which each set one or more cookies.Some cookies from this site are necessary for the functionality of this service or enhance the user experience. Since these cookies either do not contain any personal data (e.g. language preference) or are very short-lived (e.g. session ID), cookies from this group are mandatory and cannot be deactivated.

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