Achieve optimal heating with Cubic's intelligent combustion control for condensing boilers, featuring advanced sensors for ...

Nintex Orchestration enables dynamic case-based process execution that evolves over time. Instead of rigid, linear flows, orchestration supports modular workflow phases that can advance, repeat, ...

In this Q&A, you will learn about some of the technologies and techniques that are making it possible to address advanced packaging challenges.

Towards the normativity of AI-driven BCI technologies in product liability in healthcare,” published in AI & Society. In their research, the researchers analyze how emerging AI-driven ...

The increased number of small-run SKUs dictated by consumer preference has changed the filler design philosophy,” he says.

The global automotive MCU market is growing steadily, expected to be valued at around US$ 10.6 billion in 2026 and projected to reach US$ 15.1 billion by 2033, with strong growth in the coming years.

Tyler Bouchard and Tyler Modelski explore the fundamental changes needed to scale industrial artificial intelligence in additive manufacturing.

At its annual IAMPHENOM conference, Phenom, the leader in applied AI for human resources, unveiled a new generation of AI architecture and service delivery models that empower HR to shift from simply ...

Schneider Electric will demonstrate how industrial organizations can turn today's toughest operational, energy and workforce challenges into tangible competitive advantage at Hannover Messe 2026.

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

BackgroundWater scarcity, declining water quality, and increasing climate variability are imposing unprecedented constraints on global food production, ...

Using an advanced imitation learning algorithm and camera perceptions, researchers with the Arkansas Agricultural Experiment ...