Algorithms are opaque, they optimise for the wrong things — engagement, virality, outrage — and they’re not neutral ...

Abstract: This paper proposes a multi-strategy seeker optimization algorithm (MSSOA) for optimization constrained engineering problems. In this paper, three strategies were adopted to improve the poor ...

Opinion: Although algorithmic pricing is part of modern digital marketplaces and not inherently unlawful, legal risk turns on ...

The "boy crisis" frame oversimplifies youth struggles into a single gender narrative. By separating school, mental health, ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

The technology uses predictive algorithms to identify frequently accessed data and move it between flash storage and high-speed memory in real time, reducing the amount of expensive DRAM a data center ...

For several years now, UFC president Dana White has hinted that a sweeping change was coming to the UFC rankings, which had ...

Post-quantum cryptography military deadline: the Department of War’s first PQC strategy sets a binding 2031 mandate for every ...

Google Maps taking you the long way? Learn why the app defaults to slower routes and discover the hidden settings that will ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

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