Machine Intelligence 2.0 in charts and graphs

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So are Apple, IBM, and Amazon. In fact, every major technology company is investing in machine intelligence to improve their existing products or to develop entirely new ones. This transformative technology is poised to affect just about every industry out there. VB Profiles partnered with Shivon Zilis to better understand its impact and to present the Machine Intelligence 2.0 landscape. Above: This chart is part of VB Profiles Machine Intelligence Series.


Reinventing Energy: How Can A.I. Advance Renewables?

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Peter's review of the landscape suggests that over the past few years, a largely unheralded energy revolution has quietly got under way: that the feedback loops that have kept fossil fuels strong, and renewables weak, are undergoing a reversal. With renewables ascendant, and fossil fuels on the brink of a public opinion pivot akin to the one experienced by the tobacco industry a decade ago, what can we expect from the energy landscape of 2020? The Reinventing Energy Summit will explore the opportunities of applying AI and machine learning techniques to efficiently manage energy generation and consumption; predicting energy supply; smart grid management and operations; intelligent control of energy storage; batteries, and much more.



European Machine Intelligence Landscape – Project Juno AI

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We @ProjectJunoAI are big fans of landscapes. That's why we've created a machine intelligence landscape focused entirely on Europe [1]. Europe deserves a landscape of its own to highlight its talent and expertise. Until recently, its contribution to the innovation and commercialisation of machine intelligence technologies has been under-appreciated. We now see growing self-confidence borne of the success, and continued presence, of local acquired startups like VocalIQ, Swiftkey, Deepmind, Magic Pony Technology, and PredictionIO.


European Machine Intelligence Landscape

#artificialintelligence

We @ProjectJunoAI are big fans of landscapes. That's why we've created a machine intelligence landscape focused entirely on Europe [1]. Europe deserves a landscape of its own to highlight its talent and expertise. Until recently, its contribution to the innovation and commercialisation of machine intelligence technologies has been under-appreciated. We now see growing self-confidence borne of the success, and continued presence, of local acquired startups like VocalIQ, Swiftkey, Deepmind, Magic Pony Technology, and PredictionIO.