With the AI-integration in most sectors today, the military domain is no exception. We are living in another transformative ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across applications in welding, automotive manufacturing and ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

You invested in a new AI-SOC because you want your organization to be safe. You also don't want your SOC team to burn out from the flood of alerts they're receiving. It's good at first. At deployment, ...

Abstract: Multiobjective optimization problems (MOPs) arise in numerous real-world scenarios, yet finding their solutions with optimal trade-offs can be a formidable challenge. This article studies ...

When CARL, a Japanese stationery company, was honored with an Honorable Mention in the Red Dot Award: Product Design 2025, few were surprised. This is, after all, the country where even the smallest ...

Abnormal blood pressure is one of the primary indicators of many common illnesses and medical conditions, making it crucial data for healthcare providers. For patients suffering from high blood ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Artificial intelligence-enabled learning platforms deliver the ...