Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
Instagram has launched a major update for its Edits app. The app’s latest version adds pre-built templates, storyboards, advanced text customization options, and the ability to pull public Reels ...
Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...
Abstract: Due to the extensive computational burden of enumeration algorithm employed in finite control set model predictive control (FCS-MPC) for multilevel converters, this article proposes a ...
Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...
Tesla is facing a new scandal that once again sees the electric automaker accused of misleading customers. In the past, it has been caught making “misleading statements” about the safety of its ...
Scientists from the University of Cambridge and their collaborators have developed an algorithm that identifies unique patterns caused by insertions and deletions in tumor DNA. Details of the ...
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