Download e-book for kindle: Artificial Intelligence and Exponential Technologies: by Francesco Corea

By Francesco Corea

ISBN-10: 3319515497

ISBN-13: 9783319515496

ISBN-10: 3319515500

ISBN-13: 9783319515502

Artificial Intelligence is a big leap forward know-how that's altering our global. It calls for a few levels of technical talents to be constructed and understood, so during this publication we'll firstly outline AI and categorize it with a non-technical language. we'll clarify how we reached this section and what traditionally occurred to man made intelligence within the final century. fresh developments in computing device studying, neuroscience, and synthetic intelligence know-how might be addressed, and new company types brought for and by means of man made intelligence examine may be analyzed. eventually, we'll describe the funding panorama, throughout the rather complete examine of virtually 14,000 AI businesses and we'll talk about very important beneficial properties and features of either AI traders in addition to investments. this is often the “Internet of Thinks” period. AI is revolutionizing the realm we are living in. it really is augmenting the human reports, and it pursuits to magnify human intelligence in a destiny no longer so far-off from at the present time. even though AI can switch our lives, it comes additionally with a few obligations. we have to get thinking about how you can adequately layout an AI engine for particular reasons, in addition to the right way to regulate it (and maybe change it off if needed). And specifically, we have to begin trusting our know-how, and its skill to arrive an efficient and clever decision.

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Technical report, Google, Inc. 02533. Lake, B. , & Tenenbaum, J. B. (2015). Human-level concept learning through probabilistic program induction. Science, 350(6266), 1332–1338. Lake, B. , Ullman, T. , Tenenbaum, J. , Gershman, S. J. (2016). Building Machines That Learn and Think Like People. 00289. Lo, A. W. (2004). The adaptive markets hypothesis: Market efficiency from an evolutionary perspective. Journal of Portfolio Management, 30, 15–29. , McDaniel, P. , Goodfellow, I. , Celik, Z. , Swami, A.

Gershman, S. J. (2016). Building Machines That Learn and Think Like People. 00289. Lo, A. W. (2004). The adaptive markets hypothesis: Market efficiency from an evolutionary perspective. Journal of Portfolio Management, 30, 15–29. , McDaniel, P. , Goodfellow, I. , Celik, Z. , Swami, A. (2016). Practical black-box attacks against deep learning systems using adversarial examples. 02697. Rosenberg, L. B. (2015). Human Swarms, a real-time method for collective intelligence. In Proceedings of the European Conference on Artificial Life (pp.

8 Exits strategies distribution 4 Investing in AI 35 Fig. 9 Frequency of employee numbers per company As growth measure, we looked instead at the employee growth on a monthly and semester basis (Fig. 10). Even if on a monthly basis it is quite normal to oscillate the total number of employees between −10 and +20%, on a longer time period many startups reach exponential growth rates close to 40–50%. Fig. 10 Startup growth rate measure by 1-month and 6-months employees increase 36 4 Investing in AI Fig.

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Artificial Intelligence and Exponential Technologies: Business Models Evolution and New Investment Opportunities by Francesco Corea


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