A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...

The hottest trend on the horizon for artificial intelligence (AI) is agentic AI, according to Jason Moore, Ph.D., chair of the Department of Computational Biomedicine ... then prepare graphs and ...

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive ...

Altair, a global leader in computational intelligence, has partnered with Databricks, the data and AI company, to empower ...

As artificial intelligence (AI) continues to advance, researchers at POSTECH (Pohang University of Science and Technology) ...

It automatically switches between the base LLM and graph-based AI modules to ... and computer science at MIT who leads the Computational Design and Fabrication Group within the Computer Science and ...

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

An IEEE study introduces a new recommendation model that combines knowledge graphs and contrastive learning to solve cold-start and sparse data ...

The Center for AI Enabling Discovery in Disease Biology (AID2B) applies artificial intelligence and machine learning techniques to customize treatments using patient data, combating biases in medical ...