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 curious ai



When AI meets IIoT, it means more profits to your company

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AI is getting smarter, requiring less training data and moving from cloud to Edge. Finnish AI startups gathered last week in Business Finland's Customer Club to share relevant information for intelligent industry and to check the latest state of the art of AI solutions for industrial use. There are plenty of small, young Finnish companies that have created money saving and innovative AI solutions especially for pulp and paper industry, mining companies and oil refineries that are strong businesses in Finland. Possibilities for different profitable applications are numerous with solutions that combine the use of cloud and edge in storing and analyzing data. All data from industrial machines cannot be moved to the cloud because there is typically just too much data or the latency requirements don't allow it.


Imagining the future of artificial intelligence Science

#artificialintelligence

Google's Deep Mind software took just 40 days to become the best ever player of the ancient game of Go, and commentators heralded it as a major milestone for deep learning, a field of artificial intelligence (AI). The achievement highlighted how computers equipped with the right algorithms can now quickly teach themselves to achieve a specific goal. This approach, known as unsupervised learning, works well within a well-defined set of parameters, such as a board game. But what about when something unexpected happens, such as a change in the rules of the game? In the work environment, unexpected things happen all the time, limiting the usefulness of today's AI systems.