The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...
AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.
A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.
Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...
Coding can help students understand the building blocks of world languages, and it provides an authentic way to tell stories.
A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
We've all heard the best approach to solve a problem is to "sleep on it." It turns out there may be more truth to this adage ...
Just a few years ago, many researchers in quantum computing thought it would take several decades to develop machines that ...
Abstract: With increasing complex workflow application and computational resources requirement, distributed computing has attracted growing attention. Meanwhile, cloud computing has emerged as a ...
This repository contains the complete specification, prompts, and generation system for the DSA Master Curriculum v12.1, a 19-week, narrative-first, institutional-grade Data Structures & Algorithms ...
This repository contains the complete specification, prompts, and generation system for the DSA Master Curriculum v12.1, a 19-week, narrative-first, institutional-grade Data Structures & Algorithms ...
Abstract: To address the Vehicle Routing Problem with Time Windows (VRPTW), this paper presents a novel Dual Adaptive Genetic Algorithm (DAGA). While numerous metaheuristic algorithms have been ...
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