Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Abstract: Genetic algorithms (GAs) have been used to evolve optimal/sub-optimal solutions of many problems. When using GAs for evolving solutions, often fitness evaluation is the most computationally ...

Welcome to HSEvo — the code implementation from the paper: HSEvo: Elevating Automatic Heuristic Design with Diversity-Driven Harmony Search and Genetic Algorithm Using LLMs | Poster (AAAI 2025). We ...

Abstract: In this paper, a novel general class of optimality criteria is defined and proposed to solve multi-objective optimization problems by using evolutionary algorithms. These criteria, named ...

New Iterative Block Particle Filter algorithm makes genomic surveillance faster, cheaper and more scalable, improving early ...

In addition to single-nucleotide variations and small insertions-deletions (indels), larger-sized structural variations (for example, insertions, deletions, inversions, segmental duplications and copy ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Many scientific problems entail labeling data items with one of a given, finite set of classes based on features of the data items. For example, oncologists classify tumors as different known cancer ...

New data from Ramp and Revelio show that intensive Gen AI adoption is linked to higher headcount and more entry-level hiring, challenging fears that “AI kills jobs” and reshaping IT leaders’ ...

A complete list of papers about adversarial examples It appears that the List of All Adversarial Example Papers has been experiencing crashes over the past few days. In the absence of this valuable ...

Ars Technica has been separating the signal from the noise for over 25 years. With our unique combination of technical savvy ...

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...