The Portland City Council on Wednesday passed a measure that bans corporate landlords from using rent-fixing price algorithms in the city. The ordinance, which was pushed by Councilor Angelita Morillo ...

If you feel like you’re being nickel-and-dimed everywhere you shop – you probably are. Instacart has been using a shady AI algorithm that charges different prices to different customers on the same ...

With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly, exactly the way you want it.’ With its playlist chatbot, Spotify says you could ‘curate your next Discover Weekly ...

WASHINGTON, D.C. – U.S. Sen. John Curtis (R-UT) has introduced bipartisan legislation to modernize protections and hold social media companies accountable for harms caused by content pushed by their ...

Fastbreak AI, a firm that specializes in sports scheduling optimization, is raising $40 million in new funding as artificial intelligence services get more integrated into sports leagues around the ...

Australia’s New South Wales Police used a legacy facial recognition algorithm for over a decade and declined repeated offers of updates from the vendor, instead replacing it with a system adapted ...

McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States Oden Institute for Computational Engineering and Sciences, The University of Texas at ...

In light of recent changes in the law and closely monitor developments in this area, New York landlords and software companies should review the design and deployment of any algorithms used in ...

SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...

SAN FRANCISCO, Oct 22 (Reuters) - Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...