logologo
  • Offer
    • Whizzapi – ready-made API aggregator
    • System integration
    • Business processes BPM/BAM
    • Savangard Open Banking
    • Finsav Banking Platform
      • Finsav Open Your Business
    • Training courses
  • References
  • Career
    • Job offers
    • Savangard Labs – internship programme
  • Company
  • Blog
  • Contact
  • PL
  • Offer
    • Whizzapi – ready-made API aggregator
    • System integration
    • Business processes BPM/BAM
    • Savangard Open Banking
    • Finsav Banking Platform
      • Finsav Open Your Business
    • Training courses
  • References
  • Career
    • Job offers
    • Savangard Labs – internship programme
  • Company
  • Blog
  • Contact
  • PL

Artificial Intelligence still beggars the imagination. You can try to trace the story of Westworld series to feel perception and fears related with implementation and development of this technology.

The fact is that technologies related to artificial intelligence and machine learning have been around us for several decades and we use them every day without even realizing it. Also companies are outdoing themselves in creating ideas how use AI to build competitive advantage.

Despite the fact that we all use the term artificial intelligence, its definition from the very beginning was hard to precise, and appearing new concepts does not make it easier. So what is the difference between Artificial Intelligence, Machine Learning and Deep Learning? Where can we meet AI in everyday life?

Artificial Intelligence

Artificial intelligence is a broad concept. In general, it aims to imitate human decision-making processes and perform complex tasks in a more human way than ever before. In AI definition you can find construction of machines and algorithms operating with characteristics of human intelligence for e.g.: having the ability to self-adapt to changing conditions. This is a much broader concept than Machine Learning. Behavioral algorithms, virtual agents or autonomously driven self-propelled vehicles are just a few examples of a current application of artificial intelligence.

AI can be divided into two categories:

  1. Weak AI (also known as narrow AI) – focuses only on a narrow predefined task, is limited to its scope and does not go beyond
  2. Strong AI (also known as general AI) – is a broader concept, in its scope it includes a system with comprehensive knowledge and cognitive abilities, in the assumption similar to human thinking.

Machine Learning

So what is Machine Learning? Machine Learning is a subset of artificial intelligence. Allows the algorithm to grow. The first definition was created by Artur Samuel, who defined the concept of ML in 1959:

 “Field of study that gives computers the ability to learn without being explicitly programmed”.

By analysing huge amounts of data, the system is able to grow and learn how to perform a specific task. Based on an independent analysis, using mathematical algorithms to search data and find models, it is able to predict the result or make a decision. So all machine learning is artificial intelligence, but not all AI is machine learning.

However, machine learning, despite the fact that it is able to develop, when it hasn’t enough data and then faces the necessity of making decisions, human intervention is needed. What if we want to go further?

 

AI ML What the difference

Deep Learning

Deep Learning to jedna z odmian sztucznej inteligencji, która tworzy wielowarstwowe sztuczne sieci neuronowe, które pozwalają komputerowi uczyć się i myśleć samodzielnie bez potrzeby bezpośredniego udziału człowieka. Nie mamy tutaj do czynienia z logiką opartą na podejściu linearnym, ale na sieci powiązań, która rozwija się poprzez reorganizację wewnętrznych połączeń i tworzenie nowych.

Na ten moment Deep Learning wykorzystywane jest m.in. przy doskonaleniu technik rozpoznawania mowy i przetwarzania języka.

Spotify, Pandora i Netflix rekomendują Ci muzykę i filmy w oparciu o wyrażone przez w przeszłości zainteresowania i osądy. SIRI gdy poprosisz jś za pomocą głosu o sprawdzenie „Gdzie jest najbliższa stacja benzynowa?” pomoże znaleźć przydatne informacje. Facebook opierając się na twoich preferencjach dodaje atrakcyjne i odpowiednie treści do Twojego kanału informacyjnego. To czego możemy być pewni to fakt, że sztuczna inteligencja od dawna nie jest tylko futurologią. Rozwiązania oparte różnych odmianach tej technologii wplotły się do codziennego życia na stałe, a to dopiero początek…

AIArtificial IntelligenceDeep LearningMachine learning
Poprzedni postGain knowledge and get certified! - IT Projec...
Następny postBlockchain standardisation? Efforts overview
Latest news
  • Savangard awarded with the 2020 PartnerConnect Partner Awards
  • We received the Forbes Diamond Award!
  • Bussines Gazelle Award in our hands!
  • Savangard Labs 2020 – summary
Tags
AI API Gateway API Management Artificial Intelligence BAM banking trends Blochchain Blockchain BPM business processes management CEP Corda Deep Learning Distributed Ledger Technology DLT EEA Event-driven Architecture IoT Machine learning online banking Open API Polish API PSD2 PSD2 Solution R3 Savangard Labs SavangardLabs whizzapi

Please follow us

Facebook
Facebook
LinkedIn

Address

Savangard Sp. z o. o.
ul. Aleje Jerozolimskie 142b
02-305 Warsaw

Company’s data

National Court Register
KRS 0000143463
Tax Identification Number
VAT no. PL5732522479
Business Registry Number
REGON 152084068


© 2021 Savangard Sp. z o.o. All rights reserved.

Wordpress Social Share Plugin powered by Ultimatelysocial