Dr Gulzar Singh explains how algorithmic decision-making in banks has outpaced the institutional structures designed to govern accountability, oversight, and escalation ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

Abstract: Microwave Imaging is a key technique for reconstructing the electrical properties of inaccessible media, relying on algorithms to solve the associated Electromagnetic Inverse Scattering ...

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For millions of gig workers driving for companies such as Uber Eats, DoorDash and Deliveroo, there is no human manager to ...

A U.S. data center power outage caused view and upload glitches as users allege censorship after new ownership and app uninstalls briefly spiked ...

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...

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View post: We Put Award-Winning Fitness Gear Through HYROX Chaos. These 3 Picks Made Training Feel Noticeably Better Donna Kelce was banished early from The Traitors after standing out for being ...