Unpacking how recent progress in scaling active inference is already demonstrating real improvements for distributed control systems in energy management, quantum computing, and autonomous fleet ...

Industry experts from Beckhoff and Siemens reveal how smart diagnostics, digital twins and predictive maintenance are keeping ...

These are unfortunate examples of how AI can lead to mistreatment of people because of technical flaws as well as misplaced ...

Implementing machine learning tools in wastewater treatment plants offers measurable benefits such as chemical cost ...

The goal of this article is to address the most common questions practitioners are asking today about gen AI in e-discovery.

A new generation of operating platforms — led by companies like Foodics — is quietly enabling retail media-style capability ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Read more about Digital transformation of humanitarian supply chains could improve trust and sustainability on Devdiscourse ...

The data-phobia problem means helping the industry engage with structured information, statistical thinking, and predictive ...

The ai age has brought a boom in prediction. Machine learning—the kind of ai most commonly used in chatbots and decision-making algorithms such as hiring software—is a prediction machine. It uses ...