Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk ...

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes.

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can ...

Exascale Aurora helps scientists model fusion plasma and train AI to predict reactor disruptions. Aurora, one of the fastest ...

This Research Topic focuses on using artificial intelligence (AI) to combine and analyze diverse biomedical data types to improve the performance and ...

Using AI to identify wildlife reveals a potential "transferability crisis," researchers say. Marketing for AI imaging systems ...

The majority of agentic AI systems disclose nothing about what safety testing, and many systems have no documented way to ...

Abstract: The pathfinding problem in a graph has been solved using several classical algorithms, notably Dijkstra’s and A* algorithms. However, most classical algorithms are most effective on static ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...