Algorithms are a staple of modern life. People rely on algorithmic recommendations to wade through deep catalogs and find the best movies, routes, information, products, people and investments.
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AI teaches itself and outperforms human-designed algorithms
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling ...
An enormously high number of algorithms are in use today in various electronic systems. Integrating and evaluating a DSP algorithm with the system is tricky enough to bring programmers to their knees.
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
With regulators increasingly focusing on algorithmic discrimination, human intervention in predictive model programming and artificial intelligence (AI) will be more important than ever. Although the ...
Algorithms — or, in layman’s terms, defined procedures for accomplishing a task or solving a problem — abound throughout the computing industry. These protocols have shaped the ways in which people ...
Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...
The rise of high-speed internet in the early 2000s transformed the global labor market for high-skilled labor. As email, instant messaging, and voice over internet calling (e.g., Skype) became ...
Even before the COVID-19 crisis, artificial intelligence and algorithms, particularly in the context of pricing, were a focus of the Federal Trade Commission and the Department of Justice’s Antitrust ...
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