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Other powerful techniques include supervised recurrent neural networks (RNNs) and reinforcement learning RNNs. Unsupervised learning should for example build a causal understanding of the sensory space with temporal correlations of concurrent and sequential sensory signals. Unsupervised learning, for example, is to a large extent still a mystery – we currently only have limited forms focused on clustering and dimensionality reduction. There are many areas of machine intelligence where breakthroughs are sorely needed. As he correctly states, although AI is clearly transforming web search, advertising, e-commerce, finance, logistics, media, and most industries, today’s applications are predominantly using a form of supervised learning, with deep learning the most powerful, but also ‘data hungry’ technique in the machine intelligence toolbox. In today’s world of open source, the scares resources is indeed data and talent.
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Understanding what AI can do and how it fits into a company’s strategy is only the beginning of the process. That’s why I like a recent article by Andrew Ng, chief scientist at Baidu, about what AI can and can’t do right now. We need to be realistic about what machine intelligence can do right now. I’ve used this quote from Ray Dalio (founder of the world’s largest hedge fund, also with its own AI team) in a number of my talks on Machine Intelligence and the Fourth Industrial Revolution. “Truth, an accurate understanding of reality, is an essential foundation for producing good outcomes” – Ray Dalio, Bridgewater Associates Machine Intelligence Institute of Africa (MIIA)Īccurate Understanding of Reality with respect to the Machine Intelligence.Intelligent Virtual Assistants and Advisors.Focus areas in advancing the state-of-the-art in Machine Intelligence.Cortex Logic in partnership with MIIA to advance the state-of-the-art and solve real-world problems in Africa.Advancing the state-of-the-art in Machine Intelligence.
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Steering Machine Intelligence towards positive outcomes.Accurate Understanding of Reality with respect to Machine Intelligence.In this post I’m not only addressing some key topics about the current and future state of machine intelligence, but also practical steps we are taking here in Africa to not only use smart technology to solve problems, but also make a contribution towards advancing the-state-of-the-art in machine intelligence. Given how all the major technology companies are embracing machine intelligence as a core part of their business and the multitude of startups building their business on this technology, AI is clearly not a passing fad, but being pushed across the rest of the tech world too. It is also one of the key exponential technologies in the Fourth Industrial Revolution. Machine intelligence is not only changing the way we use our computers and smartphones but the way we interact with the real world. Posted by: Jacques Ludik 1 year, 1 month agoĪs a smart technology entrepreneur with a machine intelligence research background and passionate about advancing the state-of-the-art in machine or artificial intelligence (AI) to help solve real-world problems, it is very encouraging and exciting to see the AI buzz in the tech industry right now, the progress made in the field to create an even stronger intelligence toolbox, and the ever increasing practical applications in all industries and enterprise functions.