Applied AI & Advanced Machine Learning

According to Gartner’s analytics, in advanced machine learning, deep neural nets (DNNs) move beyond classic computing and information management to create systems that can autonomously learn to perceive the world, on their own. The explosion of data sources and complexity of information makes manual classification and analysis infeasible and uneconomic. DNNs automate these tasks and make it possible to address key challenges related to the information of everything trend.

DNNs (an advanced form of machine learning particularly applicable to large, complex datasets) is what makes smart machines appear “intelligent.” DNNs enable hardware- or software-based machines to learn for themselves all the features in their environment, from the finest details to broad sweeping abstract classes of content. This area is evolving quickly, and organizations must assess how they can apply these technologies to gain competitive advantage.

Ubiquitous embedded intelligence combined with pervasive analytics will drive the development of systems that are alert to their surroundings and able to respond appropriately.

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Sponsors & Partners

Sponsors

Gold

JetBrainsFirst Line Software

Silver

Dell EMCDINS

Embedded

Auriga

Sponsor

I.T. Group

Individual

Andrey Terekhov

Partners

Main partners

AP KITRUSSOFT

In cooperation

Association for Computing MachineryACM Special Interest Group on Software Engineering

Technical partners

CUSTISSoftInvent7pap StudioHosting-CenterGroup MPrezentDPI.Solutions

With support of

RAEC

Organizers

Software Russiai-Help