Algorithms are not innocent codes based on machine learning and artificial intelligence, but ideological devices that shape ...

An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Applied Analytics professor Siddhartha Dalal discusses the impacts of applied technologies on real-life risk management.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Gridmatic, a leading AI-enabled power marketer, announced today a 10-megawatt (MW) solar power purchase agreement (PPA) in ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Using reinforcement learning, agentic AI can predict potential failures, such as hardware degradation or network congestion, ...

Kekulé, born in Darmstadt and trained first as an architect, had already shaken chemistry by insisting carbon forms four ...

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...

Data availability statements To maintain high standards of transparency, research reproducibility, and to promote the reuse of new findings, a data availability statement (DAS) is required to be ...