Machine Learning and DeweyDecimal Classification

September 22, 2019

AI is not a new technology and certainly not a new way of problem solving. Machine learning models have improved much in the last five years The concept of manual knowledge modelling in AI systems is almost gone Instead, we have introduced the data science concept into machine learning and AI; we let the system build its own knowledge model although carefully selecting the «learning material». AI methods gets widely available through open frameworks such as Tensorflow,Pytorch, gensim etc.

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eKreative love making simple, clean apps. Achieving true intuitive simplicity for the end user through complex and kreative solutions is what makes us great. We are purposeful about every decision: who we hire, how we treat our clients, how we set our development procedures and how we impact social change with our finances.

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Applying Artificial Intelligence to Built Environments through Machine Learning

whitePaper | January 5, 2020

Machine learning (ML) is an application of artificial intelligence (AI) that allows systems to automatically learn and improve from exposure to more data without being explicitly programmed. ML focuses on the development of computer programs that can access data and use it to learn for themselves.1 While AI represents the broader concept of machines being able to carry out tasks in an intelligent way, machine learning is a current application of AI based on the idea that we can give machines access to data, and they can use that data to learn for themselves.

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The AI Act: Help or Hindrance for SMEs?

whitePaper | December 30, 2022

The technological development of artificial intelligence (AI) is proceeding rapidly, with investment in AI-based solutions dramatically increasing across the globe. Europe is no exception.

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Trusted Artificial Intelligence Towards Certification of Machine Learning Applications

whitePaper | March 30, 2022

Artificial Intelligence is one of the fastest growing technologies of the 21st century and accompanies us in our daily lives when interacting with technical applications. However, reliance on such technical systems is crucial for their widespread applicability and acceptance. The societal tools to express reliance are usually formalized by lawful regulations, i.e., standards, norms, accreditations, and certificates. Therefore, the TÜV AUSTRIA Group in cooperation with the Institute for Machine Learning at the Johannes Kepler University Linz, proposes a certification process and an audit catalog for Machine Learning applications.

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AI and Cities: Risks, Applications and Governance

whitePaper | October 20, 2022

Artificial intelligence has already started to have an impact on urban settings at an unprecedented pace, with sophisticated solutions being deployed in the streets, at airports and in other city installations. In fact, cities are becoming experimental sites for new forms of artificial intelligence and automation technologies that are applied across a wide variety of sectors and places.

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Conversational AI using NVIDIA : NetApp Solutions

whitePaper | October 17, 2022

The NVIDIA DGX family of systems is made up of the world’s first integrated artificial intelligence (AI)-based systems that are purpose-built for enterprise AI. NetApp AFF storage systems deliver extreme performance and industry-leading hybrid cloud data-management capabilities. NetApp and NVIDIA have partnered to create the NetApp ONTAP AI reference architecture, a turnkey solution for AI and machine learning (ML) workloads that provides enterprise-class performance, reliability, and support.

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AI in Retail Marketing

whitePaper | August 18, 2021

Among retail marketers, a reliance on traditional business intelligence tools has left the intuitive decision-making in the hands of the marketing team. Download this guide to learn how to solve this AI dilemma.

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eKreative

eKreative love making simple, clean apps. Achieving true intuitive simplicity for the end user through complex and kreative solutions is what makes us great. We are purposeful about every decision: who we hire, how we treat our clients, how we set our development procedures and how we impact social change with our finances.

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