History may soon repeat itself with a novel new platform: networks of AI agents carrying out instructions from prompts and sharing them with other AI agents, which could spread the instructions ...
Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
Band Power Side-Channel Detection for Semiconductor Supply Chain Integrity at Scale” was published by researchers at Cornell ...
This repository contains the code and released models for our paper GRAM: A Generative Foundation Reward Model for Reward Generalization 📝. We propose a more effective approach to reward model ...
On January 9, 2026, the latest edition of Applied Artificial Intelligence for Drug Discovery was published online as a Springer Nature volume, spanning 27 chapters authored by leading international ...
Pacific Northwest National Laboratory reports that scientists are using generative AI to accelerate defense against cyberattacks, performing complex operations in minutes instead of weeks. A team led ...
Larian CEO Swen Vincke has provided an update as to how the studio are planning to go about handling the use of generative AI in the making of Divinity. In an effort to alleviate concerns, the newly ...
Abstract: Generative Adversarial Network (GAN) have become a dominant paradigm in Zero-Shot Learning (ZSL) for synthesizing features of unseen classes. However, the efficacy of these models relies ...
Abstract: Distributed denial of service (DDoS) attacks threaten the reliability of consumer IoT-based healthcare systems. However, traditional DDoS detection methods often struggle with feature ...