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Top Links: >> 80. Technology >> Internet Technology Summit Program >> 7. Enterprise, Knowledge Architecture, IoT, AI and ML
Current Topic: 7.6. Introduction to Semantic Technology and AI
Sub-Topics: 7.6.1. Semantic Technology | 7.6.2.Software and Knowledge Evolution | 7.6.3. From SOA and Microservices to Semantic Integration | 7.6.4. Semantic Cloud Architecture
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Introduction to Semantic Technology and AI

How to accelerate our abilities to learn?
There are two main approaches offered by AI: supervised learning and unsupervised learning.

At ITU we focus more on supervised learning.
Our Patented Technology increases efficiency of an enterprise in education, medical, project development, and more fields. The platform is implemented as Business Architecture Sandbox for Enterprise (BASE) with a rich set of services. The services are enhanced with AI components providing Conversational Semantic Decision Support (CSDS).

Read more about this approach in the section below, Introduction to Semantic Technology and AI.

The other approach is unsupervised or machine learning, often named as Deep Learning.

Michael Elad: "Sparse Modeling in Image Processing and Deep Learning"
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Naftali Tishby - The Information Bottleneck View of Deep Learning: Why do we need it? <== I mentioned Tishby.

Eli Yablonovitch: Deep Learning; the Reincarnation of Analog Computing

Learning fast approximations of sparse coding

Dave Patterson Evaluation of the Tensor Processing Unit

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Read: IT of the future: AI and Semantic Cloud Architecture | Fixing Education
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