This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...
Abstract: Problem transformation-based multiobjective evolutionary algorithms (MOEAs) face the risk of losing optimal solutions when transforming a large-scale multiobjective optimization problem into ...
Abstract: To address the challenge of rapidly tracking the new pareto optimal set (PS) after environmental changes in dynamic multi-objective optimization problems (DMOPs), this paper proposes a ...
What do the Tower of Babel, the biblical figure Nehemiah, algorithms and realpolitik have in common? They’re all discussed – along with integral human development, the technocratic paradigm and ...
Vector search underpins most retrieval-augmented generation (RAG) pipelines. At scale, it gets expensive. Storing 10 million document embeddings in float32 consumes 31 GB of RAM. For dev teams running ...
Welcome to the NavRL repository! This repository provides the implementation of the NavRL framework, designed to enable robots to safely navigate dynamic environments using Reinforcement Learning.
Grocery stores can use shoppers’ personal data to charge different customers different prices, a practice known as surveillance pricing. Lawmakers in New York are considering a ban. By Claire Fahy A ...
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