The team proposed propose a novel entity-type-enriched cascaded neural network (E 2 CNN) that considers the overlap triple problem and entity-type information to construct a Chinese financial ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Highlights Network engineers are increasingly adopting Python libraries to automate device management, configuration, and monitoring.Tools like Nornir, Netmiko, ...

An engineer for New York Times Games has been trying to teach artificial intelligence to understand wordplay more like a ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Quadric® today announced the appointment of Ravi Chakaravarthy as Vice President, Software Engineering effective immediately.

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from ...

By bringing technology built on these rigorous international standards to South Africa, SOFTSWISS aims to help local ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Artificial intelligence speeds metasurface design from unit cells to full optical systems, enabling compact imaging, AR and ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...