Machine learning affects almost every part of our digital lives. One credible prediction is that artificial intelligence could scale from about $2.5 trillion to $87 trillion in enterprise value by 2030; for comparison, the internet has generated around $12 trillion dollars of enterprise value from 1997 to 2021.*
Yet the algorithms are opaque to most people, even to tech journalists and many software engineers. We see both fanfare and fear in the news about the capabilities of artificial intelligence. Headlines often dramatize certain problems, focus on unrealistic scenarios, and neglect important facts about how AI and recent developments in machine learning workβand how they are likely to affect our lives.
Giuliano Giacaglia is an engineer who studied at MIT (with Marvin Minsky and Patrick Henry Winston, in the famed Artificial Intelligence Lab there) and built AI systems at Microsoft, Facebook, and Bluecore (a company that personalizes emails and ads for the largest e-commerce brands in the world). He realized how much these systems were affecting products people use every day, from self-driving car software to video recommendations.
AI systems do not need to be black boxes. This book aims to explain both how these systems work so you can have an informed opinion, and assess for yourself the wide-ranging risks and opportunities presented by intelligent software.
This means giving you context and technical detail. The past informs our view of the future, so the book includes a brief history of artificial intelligence (including accurate and inaccurate predictions from the past) as well as recent developments in deep learning. The result is an essential guide for the intelligent reader to gain a practical and realistic understanding of the past, present, and possible future of artificial intelligence.
The guide also includes a new survey of key companies and developments in AI for 2022. As with other Holloway titles, purchase includes future updates.
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