Researchers working on neural nets are discovering how the brain learns, reports Quanta Magazine. In 2007, some of the leading thinkers behind deep neural networks organized an unofficial “satellite” meeting at the margins of a prestigious annual conference on artificial intelligence.
Big data applications
AI has a problem. This problem lies not within the algorithms themselves, but in how they are fed. In order for real value to be generated and extracted from AI projects, the data fed to it from the IoT needs to be dependable, flexible, and scalable. As long as the IoT is powered by wires and batteries, the majority of these deployments will not be fully delivered. While our AI systems are quickly evolving in the sophistication and complexity needed to transform the buildings, vehicles, and cities of tomorrow, one question remains; how will power infrastructure support the promise?
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