In 2026, the question isn’t whether Kubernetes wins – it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

Delivery estimate accuracy (DEA) refers to the ability of an ecommerce business to correctly predict when a customer’s order ...

Artificial intelligence is revolutionizing waste management. AI-powered robots sort waste with high accuracy, improving recycling. Predictive systems optimize collection routes, reducing emissions.

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Across healthcare, education and other regulated sectors, companies are using the tech to solve operational problems that don’t have quick fixes.

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

AI projects are not for the faint-hearted – they need to be properly resourced with the different skills required: data ...

Pavle Jeremić, Founder and CEO of Aether, is a scientist-entrepreneur focused on turning advanced research into real-world industrial impact. With a background in biomolecular engineering and early ...

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

In an age where information moves at the speed of a click, the U.S. Army Southern European Task Force, Africa (SETAF-AF) public ...

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...