With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

From Localized Systems to Global Ecosystems: Supply chains are now digitally interconnected. Cloud platforms enable ...

Weather experts have something remarkable to celebrate right now. Our ability to predict conditions over the coming season ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

The challenges in crafting education systems that balance AI and human connection extend beyond technology adoption alone.

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .

A synthesis of four studies showcasing how to use artificial intelligence technologies to design collaborative learning ...